JP2021182399A - Facial appearance impression determination method, facial impression analyzer, facial impression analysis program, facial appearance impression analysis method, and makeup effect determination method - Google Patents

Facial appearance impression determination method, facial impression analyzer, facial impression analysis program, facial appearance impression analysis method, and makeup effect determination method Download PDF

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JP2021182399A
JP2021182399A JP2021110403A JP2021110403A JP2021182399A JP 2021182399 A JP2021182399 A JP 2021182399A JP 2021110403 A JP2021110403 A JP 2021110403A JP 2021110403 A JP2021110403 A JP 2021110403A JP 2021182399 A JP2021182399 A JP 2021182399A
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impression
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興治 水越
Koji Mizukoshi
元紀 黒住
Motoki Kurozumi
麻耶 本郷
Maya Hongo
次郎 藪崎
Jiro Yabusaki
みゆき 蒲池
Miyuki Kamaike
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Pola Chemical Industries Inc
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Abstract

To provide a method of extracting facial parts that significantly affect the facial appearance impression and factors having strong correlation with facial appearance impression, and a method of determining the facial appearance impression on the basis of the factors.SOLUTION: A facial appearance impression determination method is provided, comprising an impression determinant parts extraction step S13 for extracting impression determinant parts that determine the facial appearance impression, and a physical quantity measurement step S14 for measuring physical quantities of skin variation caused by change in facial expression. A facial appearance impression of a subject is determined on the basis of the physical quantities measured in the physical quantity measurement step S14.SELECTED DRAWING: Figure 1

Description

本発明は、顔の見た目印象の決定部位の抽出方法、顔の見た目印象の決定因子の抽出方法、顔の見た目印象の鑑別方法、顔印象解析装置、顔印象解析プログラム、顔の見た目印象の解析方法に関するものである。 The present invention is a method for extracting a determination part of a facial appearance impression, a method for extracting a determinant of a facial appearance impression, a method for distinguishing the appearance impression of a face, a face impression analysis device, a face impression analysis program, and an analysis of the appearance impression of a face. It's about the method.

人は、その外観や言動などの様々な要因によって、他者に対して多種多様な印象を与える。その中でも、視覚的な情報、特に顔の見た目は、その人の印象を決める非常に大きな要因の一つであるといえる。 People give a wide variety of impressions to others due to various factors such as their appearance and behavior. Among them, visual information, especially the appearance of the face, can be said to be one of the very big factors that determine the impression of the person.

そのため、人の顔の見た目の印象を客観的に推定する技術について研究がおこなわれている。例えば、特許文献1には、被験者の目尻のような解析領域に予め複数の追跡点を配置して動画像を撮影し、表情の変化に伴う追跡点の変化量を追跡して肌の圧縮率を取得することによって、被験者の肌状態を解析する技術が公開されている。 Therefore, research is being conducted on techniques for objectively estimating the visual impression of a human face. For example, in Patent Document 1, a plurality of tracking points are arranged in advance in an analysis area such as the outer corner of the eyes of a subject, a moving image is taken, and the amount of change in the tracking points due to a change in facial expression is tracked to obtain a compression rate of the skin. The technology to analyze the skin condition of the subject by acquiring the above is open to the public.

特開2014−193197号公報Japanese Unexamined Patent Publication No. 2014-193197

先述の通り、被験者の顔の見た目の印象を客観的に推定するためのパラメータについて検討されてきたが、これは、被験者の顔の特定の部位より、特定のパラメータを取得するものに過ぎない。 As described above, parameters for objectively estimating the visual impression of the subject's face have been studied, but this is merely to acquire a specific parameter from a specific part of the subject's face.

しかし、人の見た目の印象は、種々の因子によって形成されており、より正確な推定手段が望まれていた。 However, the impression of human appearance is formed by various factors, and a more accurate estimation means has been desired.

そこで、本発明では、顔の見た目印象への影響が大きい部位、及び顔の見た目印象と相関関係が高い因子を抽出する方法、その因子に基づいて顔の見た目印象を鑑別する方法を提供することを課題とする。 Therefore, the present invention provides a method for extracting a portion having a large influence on the appearance impression of the face, a method for extracting a factor having a high correlation with the appearance impression of the face, and a method for distinguishing the appearance impression of the face based on the factor. Is the subject.

上記課題を解決するために、本発明に係る顔の見た目印象の決定部位の抽出方法は、
顔の表情変化の動的情報を評価者に提示し、該評価者に顔の見た目印象の評価をさせる目視評価工程と、
前記動的情報を目視する前記評価者の視線データを解析し、前記動的情報中において前記評価者が注視した領域の解析を行う視線解析工程と、を含むことを特徴とする。
In order to solve the above problems, the method for extracting the determination site of the appearance impression of the face according to the present invention is
A visual evaluation process that presents dynamic information on changes in facial expressions to the evaluator and causes the evaluator to evaluate the appearance impression of the face.
It is characterized by including a line-of-sight analysis step of analyzing the line-of-sight data of the evaluator who visually observes the dynamic information and analyzing the region of the dynamic information that the evaluator gazes at.

これにより、人が動的情報に基づいて顔の見た目印象を評価する際に注目する部位、すなわち、顔の見た目印象を決定する部位を抽出することができる。 Thereby, it is possible to extract a part that a person pays attention to when evaluating the appearance impression of the face based on dynamic information, that is, a part that determines the appearance impression of the face.

本発明の好ましい形態では、前記顔の見た目印象が年齢印象であることを特徴とする。 A preferred embodiment of the present invention is characterized in that the appearance impression of the face is an age impression.

本発明に係る顔の見た目印象の決定因子の抽出方法は、
顔の見た目印象を決定する印象決定部位における、顔の表情変化によって生じる皮膚変化の物理量を測定する物理量測定工程と、
前記物理量の中から、前記顔の見た目印象と相関関係の高い因子を抽出する、因子抽出工程と、を含むことを特徴とする。
これにより、後述する顔の見た目印象の鑑別において用いる物理量を特定することができる。
The method for extracting a determinant of the appearance impression of a face according to the present invention is as follows.
A physical quantity measurement process for measuring the physical quantity of skin changes caused by changes in facial expressions at the impression determination site that determines the appearance impression of the face, and
It is characterized by including a factor extraction step of extracting a factor having a high correlation with the appearance impression of the face from the physical quantity.
This makes it possible to specify the physical quantity used in the discrimination of the appearance impression of the face, which will be described later.

本発明の好ましい形態では、前記物理量測定工程が、前記顔に複数のマーカーを設定して撮影されたモーションキャプチャ動画像より、前記物理量として前記マーカーに関する量を測定する工程を含むことを特徴とする。 In a preferred embodiment of the present invention, the physical quantity measuring step includes a step of measuring an amount related to the marker as the physical quantity from a motion capture moving image taken by setting a plurality of markers on the face. ..

本発明の好ましい形態では、前記マーカーに関する量が、前記マーカーの位置、移動量、速度の大きさ、速度の方向、加速度の大きさ、加速度の方向の内、少なくとも1つを含むことを特徴とする。 A preferred embodiment of the present invention is characterized in that the amount related to the marker includes at least one of the position, the amount of movement, the magnitude of velocity, the direction of velocity, the magnitude of acceleration, and the direction of acceleration of the marker. do.

本発明の好ましい形態では、前記マーカーに関する量が、複数の前記マーカーの間の距離の時間変化に関する量を含むことを特徴とする。 In a preferred embodiment of the invention, the amount with respect to the marker comprises an amount with respect to the time variation of the distance between the plurality of markers.

本発明の好ましい形態では、前記マーカーに関する量が、3つ以上の前記マーカーによって形成される面の面積及び/又は形状を示す値の時間変化に関する量を含むことを特徴とする。 In a preferred embodiment of the invention, the amount with respect to the marker comprises a time variation of a value indicating the area and / or shape of the surface formed by the three or more markers.

本発明の好ましい形態では、前記物理量測定工程が、前記顔に複数の格子点を設定する格子点設定工程を有し、
前記物理量が、前記格子点に関する量を含むことを特徴とする。
In a preferred embodiment of the present invention, the physical quantity measuring step includes a grid point setting step for setting a plurality of grid points on the face.
The physical quantity is characterized by including a quantity related to the grid points.

本発明の好ましい形態では、前記格子点に関する量が、前記格子点毎の速度ベクトルの大きさ及び/又は向きの時間変化に関する量を含むことを特徴とする。 In a preferred embodiment of the present invention, the quantity with respect to the grid points includes a quantity with respect to the magnitude and / or orientation of the velocity vector for each grid point.

本発明の好ましい形態では、顔の見た目印象の決定因子の抽出方法が、前記顔の表情変化を含む動的情報を評価者に提示して顔の見た目印象の目視評価値を得る、目視評価値取得工程を有し、
前記因子抽出工程が、前記物理量と前記目視評価値との相関関係を解析して前記因子を抽出することを含むこと特徴とする。
目視評価値を用いることによって、実際に人が顔を目視した際に受ける印象と相関関係の高い因子を抽出することができる。
In a preferred embodiment of the present invention, the method for extracting a determinant of the facial expression impression presents dynamic information including the facial expression change to the evaluator to obtain a visual evaluation value of the facial expression impression. Has an acquisition process,
The factor extraction step is characterized by including analyzing the correlation between the physical quantity and the visual evaluation value and extracting the factor.
By using the visual evaluation value, it is possible to extract a factor that has a high correlation with the impression that a person actually receives when visually observing the face.

本発明の好ましい形態では、顔の見た目印象の決定因子の抽出方法が、皮膚に関する生理学的量を測定する、生理学的量測定工程を有し、
前記因子抽出工程が、前記物理量と前記生理学的量との相関関係を解析して前記因子を抽出すること含むことを特徴とする。
生理学的量を用いることによって、実際に皮膚等の生体組織における生理学的現象と相関関係の高い顔の見た目印象の決定因子を抽出することができる。
In a preferred embodiment of the invention, the method of extracting a determinant of the appearance impression of a face comprises a physiological quantity measuring step of measuring a physiological quantity relating to the skin.
The factor extraction step is characterized by analyzing the correlation between the physical quantity and the physiological quantity to extract the factor.
By using a physiological amount, it is possible to extract a determinant of the appearance impression of the face, which is highly correlated with the physiological phenomenon in the living tissue such as the skin.

本発明の好ましい形態では、前記生理学的量が、前記印象決定部位における皮膚表面物性及び/又は内部物性であることを特徴とする。 In a preferred embodiment of the invention, the physiological amount is characterized by skin surface and / or internal properties at the impression-determining site.

本発明の好ましい形態では、前記顔の見た目印象が年齢印象であることを特徴とする。 A preferred embodiment of the present invention is characterized in that the appearance impression of the face is an age impression.

本発明の好ましい形態では、前記物理量が、前記印象決定部位における皮膚の運動に関する量であることを特徴とする。 In a preferred embodiment of the present invention, the physical quantity is a quantity relating to the movement of the skin at the impression-determining site.

本発明に係る顔の見た目印象の鑑別方法は、
顔の見た目印象を決定する印象決定部位における、顔の表情変化によって生じる皮膚変化の物理量に基づいて、被験者の顔の見た目印象を鑑別することを特徴とする。
印象決定部位に生じる物理量を用いることによって、他者に与える顔の見た目印象をより正確に鑑別することができる。
The method for distinguishing the appearance impression of a face according to the present invention is as follows.
It is characterized in that the appearance impression of a subject's face is discriminated based on the physical quantity of skin changes caused by changes in facial expressions at the impression determination site that determines the appearance impression of the face.
By using the physical quantity generated at the impression determination site, it is possible to more accurately discriminate the appearance impression of the face given to others.

本発明の好ましい形態では、前記物理量が、前記顔に含まれる特徴点の移動の速度の大きさ、速度の方向、加速度の大きさ、加速度の方向の内、少なくとも1つを含むことを特徴とする。 A preferred embodiment of the present invention is characterized in that the physical quantity includes at least one of the magnitude, direction of velocity, magnitude of acceleration, and direction of acceleration of feature points contained in the face. do.

本発明の好ましい形態では、前記物理量が、前記顔に含まれる1つの基準点と、前記顔に含まれる少なくとも2つの特徴点のそれぞれとの間の距離の時間変化に関する量を含むことを特徴とする。 In a preferred embodiment of the invention, the physical quantity is characterized by comprising a time variation of a distance between one reference point contained in the face and each of at least two feature points contained in the face. do.

本発明の好ましい形態では、前記物理量が、前記顔に含まれる少なくとも3つの特徴点によって囲まれる面積の時間変化に関する量を含むことを特徴とする。 In a preferred embodiment of the present invention, the physical quantity is characterized by including a time-varying quantity of an area surrounded by at least three feature points contained in the face.

本発明の好ましい形態では、前記顔の見た目印象の鑑別が、前記物理量と、顔の見た目印象の目視評価値との相関関係に基づいて、被験者についての前記物理量の測定値から被験者の顔の見た目印象の目視評価値を算出することを含むことを特徴とする。 In a preferred embodiment of the present invention, the appearance of the face of the subject is discriminated from the measured value of the physical quantity of the subject based on the correlation between the physical quantity and the visual evaluation value of the appearance impression of the face. It is characterized by including calculating a visual evaluation value of an impression.

本発明の好ましい形態では、前記顔の見た目印象の鑑別が、前記物理量と、皮膚に関する生理学的量との相関関係に基づいて、被験者についての前記物理量の測定値から被験者の皮膚に関する生理学的量を算出することを含むことを特徴とする。 In a preferred embodiment of the present invention, the discrimination of the appearance impression of the face is based on the correlation between the physical quantity and the physiological quantity related to the skin, and the physiological quantity related to the skin of the subject is obtained from the measured value of the physical quantity for the subject. It is characterized by including calculation.

本発明の好ましい形態では、前記生理学的量が、前記印象決定部位における皮膚表面物性及び/又は内部物性であることを特徴とする。 In a preferred embodiment of the invention, the physiological amount is characterized by skin surface and / or internal properties at the impression-determining site.

本発明の好ましい形態では、前記顔の見た目印象が年齢印象であることを特徴とする。 A preferred embodiment of the present invention is characterized in that the appearance impression of the face is an age impression.

本発明の好ましい形態では、前記物理量が、前記印象決定部位における皮膚の運動に関する量であることを特徴とする。 In a preferred embodiment of the present invention, the physical quantity is a quantity relating to the movement of the skin at the impression-determining site.

本発明に係る顔印象解析装置は、
表情変化時の皮膚の動きに基づいて対象者の顔の見た目印象を解析する、顔印象解析装置であって、
前記表情変化の過程を含む動画像を取得する動画像取得手段と、
前記動画像より、前記表情変化によって生じる物理量を測定する、物理量測定手段と、を備えることを特徴とする。
このような構成の装置とすることにより、本発明に係る顔の見た目印象の鑑別方法を実施することができる。
The face impression analysis device according to the present invention is
It is a facial impression analysis device that analyzes the appearance impression of the subject's face based on the movement of the skin when the facial expression changes.
A moving image acquisition means for acquiring a moving image including the process of changing facial expressions,
It is characterized by comprising a physical quantity measuring means for measuring a physical quantity generated by the change in facial expression from the moving image.
By using the device having such a configuration, it is possible to carry out the method for discriminating the appearance impression of the face according to the present invention.

本発明の好ましい形態では、前記物理量測定手段が、前記動画像より複数の特徴点を抽出する特徴点抽出手段と、
前記動画像より前記特徴点の動きベクトルを特定する動きベクトル特定手段と、
前記動きベクトルを解析し、前記物理量を算出する動きベクトル解析手段と、を有することを特徴とする。
In a preferred embodiment of the present invention, the physical quantity measuring means comprises a feature point extracting means for extracting a plurality of feature points from the moving image, and a feature point extracting means.
A motion vector specifying means for specifying a motion vector of the feature point from the moving image,
It is characterized by having a motion vector analysis means for analyzing the motion vector and calculating the physical quantity.

本発明の好ましい形態では、前記物理量が、前記動きベクトルの大きさ及び/又は向きの時間変化に関する量を含むことを特徴とする。 In a preferred embodiment of the present invention, the physical quantity is characterized by including a quantity related to a change in magnitude and / or orientation of the motion vector over time.

本発明の好ましい形態では、前記物理量測定手段が、前記動画像より複数の特徴点を抽出する特徴点抽出手段と、
前記動画像の各フレームにおける前記特徴点の座標を算出する特徴点座標算出手段と、
前記各フレーム間において対応する前記特徴点を特定し、前記物理量を算出する特徴点追跡手段と、を有することを特徴とする。
In a preferred embodiment of the present invention, the physical quantity measuring means comprises a feature point extracting means for extracting a plurality of feature points from the moving image, and a feature point extracting means.
A feature point coordinate calculation means for calculating the coordinates of the feature points in each frame of the moving image, and
It is characterized by having a feature point tracking means for specifying the corresponding feature points between the frames and calculating the physical quantity.

本発明の好ましい形態では、前記物理量が、少なくとも1つの前記特徴点の、座標の変位量、移動速度、加速度、移動方向、加速度の方向の内、少なくとも1つを含むことを特徴とする。 A preferred embodiment of the present invention is characterized in that the physical quantity includes at least one of the coordinate displacement amount, the moving speed, the acceleration, the moving direction, and the direction of the acceleration of at least one of the feature points.

本発明の好ましい形態では、前記物理量が、前記顔に含まれる1つの基準点と、前記顔に含まれる少なくとも2つの特徴点のそれぞれとの間の距離の時間変化に関する量を含むことを特徴とする。 In a preferred embodiment of the invention, the physical quantity is characterized by comprising a time variation of a distance between one reference point contained in the face and each of at least two feature points contained in the face. do.

本発明の好ましい形態では、前記物理量が、少なくとも3つの前記特徴点によって囲まれる面積の時間変化に関する量を含むことを特徴とする。 A preferred embodiment of the invention is characterized in that the physical quantity comprises a time-varying quantity of an area surrounded by at least three feature points.

本発明の好ましい形態では、前記物理量の測定を、顔の見た目印象を決定する印象決定部位に対して行うことを特徴とする。 A preferred embodiment of the present invention is characterized in that the measurement of the physical quantity is performed on an impression determining portion that determines the appearance impression of the face.

本発明の好ましい形態では、前記顔の見た目印象が年齢印象であることを特徴とする。 A preferred embodiment of the present invention is characterized in that the appearance impression of the face is an age impression.

本発明の好ましい形態では、前記顔印象解析装置は、前記物理量と、顔を目視評価して得られた顔の見た目印象の目視評価値との相関関係を記憶する、相関関係記憶手段を有し、
該相関関係記憶手段に記憶された相関関係に基づいて、被験者についての前記物理量の測定値から被験者の見た目印象の目視評価値を算出する、目視評価値算出手段を有することを特徴とする。
In a preferred embodiment of the present invention, the face impression analysis device has a correlation storage means for storing the correlation between the physical quantity and the visual evaluation value of the appearance impression of the face obtained by visually evaluating the face. ,
It is characterized by having a visual evaluation value calculating means for calculating a visual evaluation value of a visual impression of a subject from the measured value of the physical quantity of the subject based on the correlation stored in the correlation storage means.

本発明の好ましい形態では、前記顔印象解析装置は、前記物理量と、皮膚に関する生理学的量との相関関係を記憶する、相関関係記憶手段を有し、
該相関関係記憶手段に記憶された相関関係に基づいて、被験者についての前記物理量の測定値から被験者の皮膚の生理学的量を算出する、生理学的量算出手段を有することを特徴とする。
In a preferred embodiment of the present invention, the facial impression analyzer has a correlation storage means for storing the correlation between the physical quantity and the physiological quantity related to the skin.
It is characterized by having a physiological quantity calculating means for calculating the physiological quantity of the skin of the subject from the measured value of the physical quantity of the subject based on the correlation stored in the correlation storage means.

本発明の好ましい形態では、前記生理学的量が、前記印象決定部位における皮膚表面物性及び/又は内部物性であることを特徴とする。 In a preferred embodiment of the invention, the physiological amount is characterized by skin surface and / or internal properties at the impression-determining site.

本発明に係る顔印象解析プログラムは、
表情変化時の皮膚の動きに基づいて対象者の顔の見た目印象を解析する、顔印象解析プログラムであって、
コンピュータを、
顔の表情変化によって生じる皮膚変化の物理量を測定する手段と、
前記物理量に基づいて被験者の顔の見た目印象を鑑別する手段と、
として機能させることを特徴とする。
The face impression analysis program according to the present invention is
It is a facial impression analysis program that analyzes the appearance impression of the subject's face based on the movement of the skin when the facial expression changes.
Computer,
A means to measure the physical quantity of skin changes caused by changes in facial expressions,
A means for discriminating the appearance impression of the subject's face based on the physical quantity,
It is characterized by functioning as.

本発明に係る顔の見た目印象の解析方法は、
表情変化時の皮膚の動きに基づいて対象者の顔の見た目印象を解析する、動画像取得手段と、物理量測定手段と、を備える顔印象解析装置を用いた顔の見た目印象の解析方法であって、
前記動画像取得手段が、前記表情変化の過程を含む動画像を取得するステップと、
前記物理量測定手段が、前記表情変化によって生じる物理量を算出するステップと、を備えることを特徴とする。
The method for analyzing the appearance impression of a face according to the present invention is as follows.
It is a method for analyzing the appearance of a face using a face impression analysis device equipped with a moving image acquisition means and a physical quantity measuring means for analyzing the appearance impression of the subject's face based on the movement of the skin when the facial expression changes. hand,
The step in which the moving image acquisition means acquires a moving image including the process of changing the facial expression,
The physical quantity measuring means includes a step of calculating a physical quantity caused by the change in facial expression.

本発明に係る化粧効果の鑑別方法は、
顔の表情変化によって生じる皮膚変化の物理量に基づいた被験者の顔の見た目印象の鑑別による化粧効果の鑑別方法であって、
化粧前の顔の表情変化によって生じる、化粧前の前記物理量を抽出する化粧前物理量測定工程と、
前記物理量と前記顔の見た目印象の目視評価値の相関関係に基づいて、化粧前の目視評価値を算出する化粧前目視評価値算出工程と、
化粧後の顔の表情変化によって生じる、化粧後の前記物理量を抽出する化粧後物理量測定工程と、
前記相関関係に基づいて、化粧後の目視評価値を算出する化粧後目視評価値算出工程と、
前記化粧前の目視評価値と、前記化粧後の目視評価値と、を比較し、化粧効果を評価する化粧効果評価工程と、を備えることを特徴とする。
The method for distinguishing the cosmetic effect according to the present invention is
It is a method of distinguishing the cosmetic effect by distinguishing the appearance impression of the subject's face based on the physical quantity of the skin change caused by the change of facial expression.
A pre-makeup physical quantity measurement step for extracting the physical quantity before make-up, which is caused by a change in facial expression before make-up.
A pre-makeup visual evaluation value calculation step for calculating a pre-makeup visual evaluation value based on the correlation between the physical quantity and the visual evaluation value of the appearance impression of the face.
A post-makeup physical quantity measurement step for extracting the post-makeup physical quantity caused by a change in facial expression after makeup,
A post-makeup visual evaluation value calculation step for calculating a post-makeup visual evaluation value based on the correlation, and a post-makeup visual evaluation value calculation step.
It is characterized by comprising a cosmetic effect evaluation step of comparing the visual evaluation value before makeup and the visual evaluation value after makeup to evaluate the makeup effect.

表情変化によって生じる物理量のうち、顔の見た目の印象を決定する部位における、顔の見た目印象と相関関係が高い物理量(決定因子)を顔の見た目印象を鑑別するための指標として用いることにより、実際に人が目視によって受ける顔の見た目印象を、簡便にかつ正確に鑑別することができる。 Of the physical quantities generated by changes in facial expressions, the physical quantities (determining factors) that have a high correlation with the facial appearance impression in the part that determines the facial appearance impression are actually used as an index for distinguishing the facial appearance impression. It is possible to easily and accurately distinguish the visual impression of a face that a person receives visually.

本発明に係る顔の見た目印象の決定部位の抽出方法、及び顔の見た目印象の決定因子の抽出方法を示すフローチャートである。It is a flowchart which shows the extraction method of the determination part of the appearance impression of a face which concerns on this invention, and the extraction method of the determinant of the appearance impression of a face. 動画像からの物理量の測定処理を示すフローチャートである。It is a flowchart which shows the measurement process of the physical quantity from a moving image. 本発明に係る顔印象解析装置の機能ブロック図である。It is a functional block diagram of the face impression analysis apparatus which concerns on this invention. 本発明に係る顔印象解析装置による顔の見た目印象の鑑別方法を示すフローチャートである。It is a flowchart which shows the discrimination method of the appearance impression of a face by the face impression analysis apparatus which concerns on this invention. 本発明に係る顔印象解析装置による目視評価値/生理学的量の算出処理を示すフローチャートである。It is a flowchart which shows the calculation process of the visual evaluation value / physiological amount by the face impression analysis apparatus which concerns on this invention. 目視評価値の取得に用いる動画像/連続静止画像の例を示す図である。(図面代用写真)It is a figure which shows the example of the moving image / continuous still image used for the acquisition of the visual evaluation value. (Photo substitute for drawing) 目視評価値の取得の際の評価者への動画像/連続静止画像の提示方法を示す図である。(図面代用写真)It is a figure which shows the presentation method of the moving image / continuous still image to an evaluator at the time of acquisition of a visual evaluation value. (Photo substitute for drawing) 動画像/連続静止画像に対する目視評価値の集計結果を示す図である。It is a figure which shows the aggregation result of the visual evaluation value with respect to the moving image / continuous still image. 動画像/連続静止画像に対する視線評価の結果の例を示す図である。(図面代用写真)It is a figure which shows the example of the result of the line-of-sight evaluation for a moving image / continuous still image. (Photo substitute for drawing) 動画像中における評価対象の表情変化を示す図である。(図面代用写真)It is a figure which shows the facial expression change of the evaluation target in a moving image. (Photo substitute for drawing) 動画像中におけるマーカーの移動速度の時間変化を示す図である。It is a figure which shows the time change of the moving speed of a marker in a moving image. 動画像中におけるマーカーの移動速度の積算値を示す図である。It is a figure which shows the integrated value of the moving speed of a marker in a moving image. モーションキャプチャ用のマーカーの配置を示す図である。It is a figure which shows the arrangement of the marker for motion capture. 動画像中における評価対象の表情変化を示す図である。(図面代用写真)It is a figure which shows the facial expression change of the evaluation target in a moving image. (Photo substitute for drawing) 動画像中におけるマーカー間の距離の単位時間当たりの変化量の時間変化を示す図である。It is a figure which shows the time change of the amount of change in the distance between markers in a moving image per unit time. 面積の時間変化の解析対象とする領域設定を示す図である。It is a figure which shows the area setting to analyze the time change of the area. 解析対象領域における皮膚の伸縮率の測定結果を示すグラフである。It is a graph which shows the measurement result of the stretch ratio of the skin in the analysis target area. 格子点の設定と動きベクトルの例を示す図である。(図面代用写真)It is a figure which shows the setting of a grid point and an example of a motion vector. (Photo substitute for drawing) 動画像中における評価対象の表情変化を示す図である。(図面代用写真)It is a figure which shows the facial expression change of the evaluation target in a moving image. (Photo substitute for drawing) 動きベクトルの大きさの時間変化の測定結果を示す図である。It is a figure which shows the measurement result of the time change of the magnitude of a motion vector. 動画像中の動きベクトルの波形の幅の平均値を示す図である。It is a figure which shows the average value of the width of the waveform of the motion vector in a moving image.

[1]本発明の顔の見た目印象の決定部位の抽出方法及び顔の見た目印象の決定因子の抽出方法
本発明は、顔の表情変化を含む動画像を評価者へと提示して顔の見た目印象の評価を行い、その際の評価者の視線を解析することによって顔の見た目印象の決定部位を抽出する方法、及び動画像より物理量を測定して、その中から顔の見た目印象と相関関係の高い因子を抽出する、顔の見た目印象の決定因子の抽出方法である。
[1] A method for extracting a determination portion of a facial expression impression of the present invention and a method for extracting a determinant of a facial expression impression in the present invention The present invention presents a moving image including a change in facial expression to an evaluator and presents the appearance of the face. A method of evaluating the impression and extracting the determination part of the facial expression impression by analyzing the line of sight of the evaluator at that time, and measuring the physical quantity from the moving image and correlating it with the facial expression impression. It is a method of extracting the determinants of the appearance impression of the face, which extracts the factors with high facial expressions.

本発明にいう「顔の見た目印象」とは、評価対象の顔を他者が見た際に、視覚的に受ける印象である。例えば、年齢印象について着目すれば、実年齢よりも若く見える、といった若々しさや、あるいは老けて見える、といった老化印象などの印象が挙げられる。また、他にも、評価対象を見た際に感じる魅力など、種々の印象が挙げられる。 The "appearance impression of a face" as used in the present invention is an impression that is visually received when another person sees the face to be evaluated. For example, if we focus on the impression of age, we can see the impression of youthfulness such as looking younger than the actual age, or the impression of aging such as looking old. In addition, there are various impressions such as the attractiveness felt when looking at the evaluation target.

図1は、本発明の顔の見た目印象の決定部位の抽出方法、及び顔の見た目印象の決定因子の抽出方法を示すフローチャートである。これを参照して、本発明の顔の見た目印象の決定部位と決定因子の抽出方法について、詳細に説明する。 FIG. 1 is a flowchart showing a method of extracting a determination portion of a facial appearance impression and a method of extracting a determinant of a facial appearance impression of the present invention. With reference to this, the determination site of the appearance impression of the face and the extraction method of the determinant of the present invention will be described in detail.

<動画像の取得>
まず、ステップS11にて、評価対象の顔の動画像を取得する。ここでは、先に述べたように、顔の表情の変化を含む動画像を取得する。
<Acquisition of moving image>
First, in step S11, a moving image of the face to be evaluated is acquired. Here, as described above, a moving image including a change in facial expression is acquired.

ここでは一般的なカメラ装置で評価対象の顔の動画像を撮影した映像を用いてよいが、後の物理量測定工程における画像解析に耐えうる程度の解像度を有していることが好ましい。 Here, an image obtained by capturing a moving image of the face to be evaluated with a general camera device may be used, but it is preferable that the image has a resolution sufficient to withstand image analysis in a later physical quantity measurement step.

なお、一般的に動画像は多数の静止画像(フレーム)の連続によって構成されるものであり、単位時間当たりのフレーム数を表すフレームレートによって、その動きの滑らかさが表される。ここでは、後の目視評価値の取得工程にて評価者に動画像を提示する際に、評価者が、それが単なる静止画像の連続でなく動画像であると知覚できる程度以上のフレームレートを有する動画像を取得することが好ましい。 In general, a moving image is composed of a series of a large number of still images (frames), and the smoothness of the movement is represented by a frame rate representing the number of frames per unit time. Here, when presenting a moving image to the evaluator in the later visual evaluation value acquisition process, the frame rate is set to a level higher than the evaluator can perceive as a moving image rather than just a series of still images. It is preferable to acquire a moving image to have.

また、ステレオカメラを用いたステレオ動画像の撮影を行ってもよい。このような構成とすれば、後に説明する物理量測定工程において、三次元的な解析を行うことができる。 Further, a stereo moving image may be taken using a stereo camera. With such a configuration, three-dimensional analysis can be performed in the physical quantity measuring step described later.

より具体的には、評価対象の顔に複数のマーカーをつけ、その上で評価対象の顔の動画像のステレオカメラによる撮影を行うことで、各マーカーの三次元的な位置の追跡を行うモーションキャプチャを実施することができる。 More specifically, a motion that tracks the three-dimensional position of each marker by attaching a plurality of markers to the face to be evaluated and then taking a motion image of the face to be evaluated with a stereo camera. Capturing can be performed.

<目視評価値の取得>
ステップS12では、動画像に対する目視評価値の取得を行う。これは、ステップS11で取得した動画像を、評価者へと提示し、評価者がその動画像より受けた印象を提示することによって行う。
<Acquisition of visual evaluation value>
In step S12, the visual evaluation value for the moving image is acquired. This is done by presenting the moving image acquired in step S11 to the evaluator and presenting the impression received by the evaluator from the moving image.

例えば、顔の見た目印象のうち、年齢印象についての、決定部位及び決定因子の抽出を目的とする場合であれば、評価対象の顔の表情変化を含む動画像を評価者へと提示し、評価対象の年齢の推定を求める(推定年齢の回答を求める)などの方法がある。また、別の例として、魅力に関する顔の見た目印象の決定因子の抽出を目的とするのであれば、年齢印象の場合と同様に評価対象の顔の表情変化を含む動画像を評価者へと提示した後に、評価対象を魅力的に感じたか否かの回答を求める方法が挙げられる。このようにして得た目視評価値は、評価対象の顔の見た目印象を直接示す値であるといえる。 For example, if the purpose is to extract the determinant and the determinant of the age impression among the facial facial expressions, a moving image including the facial expression change of the face to be evaluated is presented to the evaluator for evaluation. There are methods such as requesting an estimate of the target age (requesting an answer for the estimated age). As another example, if the purpose is to extract the determinants of the facial expression impression related to attractiveness, a moving image including the facial expression change of the face to be evaluated is presented to the evaluator as in the case of the age impression. After that, there is a method of asking for an answer as to whether or not the evaluation target is attractive. It can be said that the visual evaluation value obtained in this way is a value that directly indicates the appearance impression of the face to be evaluated.

また、動画像中より、表情変化前の1フレームと、表情変化後の1フレームを静止画像として抽出し、それらの2フレームのみを連続した静止画像として評価者へと提示して、同じように印象の評価を促す工程を設けてもよい。これにより、動的刺激としての動画像が評価者へ与える評価対象の顔の印象との対比として、静的刺激としての連続した静止画像が評価者与える評価対象の顔の印象を取得し、印象決定部位及び印象決定因子の抽出のための解析をより詳細に行うことができる。 In addition, one frame before the facial expression change and one frame after the facial expression change are extracted as still images from the moving image, and only those two frames are presented to the evaluator as continuous still images in the same manner. A step may be provided to promote the evaluation of the impression. As a result, the impression of the face of the evaluation target given by the continuous still image as the static stimulus is acquired as a contrast with the impression of the face of the evaluation target given to the evaluator by the moving image as the dynamic stimulus. More detailed analysis can be performed for the extraction of decision sites and impression determinants.

なお、動画像を評価者へと提示する際には、評価者の視線情報を取得し、評価者が評価対象の顔のどの領域に何回、何秒間視線を滞留させたかといった情報を取得する。 When presenting a moving image to the evaluator, the evaluator's line-of-sight information is acquired, and information such as how many times and how many seconds the evaluator has retained the line of sight in which area of the face to be evaluated is acquired. ..

<印象決定部位の抽出>
ステップS13においては、動画像を評価者へと提示した際の、評価者の視線情報を解析し、印象決定部位の抽出を行う。
<Extraction of impression determination site>
In step S13, the line-of-sight information of the evaluator when the moving image is presented to the evaluator is analyzed, and the impression determination portion is extracted.

ある印象の評価を課した評価者が動画像を観測する際に、多くの回数、また、長時間視線を滞留させた領域は、意識的、無意識的に関わらず、評価者がその印象を判断する際に注視する領域、すなわち、その印象の決定部位を含んでいるといえる。 When an evaluator who imposes an evaluation of a certain impression observes a moving image, the evaluator judges the impression many times and in the area where the line of sight is retained for a long time, regardless of whether it is conscious or unconscious. It can be said that it includes the area to be watched when doing so, that is, the part that determines the impression.

例えば、動画像に表示された対象の推定年齢の回答を求めることを評価者へ伝え、動画像を提示した際に、評価者の視線が多くの回数、長時間滞留した領域は、年齢印象の決定部位を含んでいる。 For example, when the evaluator is informed that an answer to the estimated age of the target displayed on the moving image is requested and the moving image is presented, the area where the evaluator's line of sight stays for a long time many times is an age impression. Contains the decision site.

ステップS13では、上記のように、目視評価の際に評価者の視線が多く滞留した領域とその周辺を、その見た目印象の決定部位として抽出する。 In step S13, as described above, the region where the evaluator's line of sight stays a lot during the visual evaluation and the surrounding area are extracted as the determination site of the appearance impression.

<物理量の測定>
続くステップS14では、動画像の解析を行い、物理量の測定を行う。これは、ステップS13で特定した印象決定部位のみを対象として行ってもよいし、動画像に含まれる全領域を対象として行ってもよい。図2(a)は、二次元の動画像のオプティカルフロー法による解析を行い、それによって得られる皮膚の動きベクトルを用いた物理量の算出処理を示すフローチャートである。
<Measurement of physical quantity>
In the following step S14, the moving image is analyzed and the physical quantity is measured. This may be performed only on the impression determination portion specified in step S13, or may be performed on the entire region included in the moving image. FIG. 2A is a flowchart showing a physical quantity calculation process using a skin motion vector obtained by analyzing a two-dimensional moving image by an optical flow method.

まず、ステップS21では、動画像中の各フレームより、特徴点の抽出を行う。ここでは、フレーム中の各画素の輝度値などから皮膚の凹凸を判別して特徴点を設定する方法や、動画像中にグリッド状に特徴点を設定する方法、すなわち、格子状に特徴点を配置する方法など、任意の方法を用いてよい。 First, in step S21, feature points are extracted from each frame in the moving image. Here, a method of discriminating the unevenness of the skin from the brightness value of each pixel in the frame and setting the feature points, or a method of setting the feature points in a grid pattern in a moving image, that is, the feature points in a grid pattern. Any method such as a method of arranging may be used.

そして、ステップS22で、各特徴点の動きベクトルの特定を行う。動きベクトルは、フレーム間における輝度の変化などによって求めることができる。 Then, in step S22, the motion vector of each feature point is specified. The motion vector can be obtained by the change in brightness between frames and the like.

その後、ステップS23で、動きベクトルの解析を行い、顔の表情変化に伴って生じた物理量の算出を行う。ここでの物理量の例としては、先述した特徴点の座標の変位量、移動速度、加速度、移動方向などや、平面の運動の波動性パラメータ、例えば周期、周長など、顔の皮膚の運動に関する量が挙げられる。また、輝度や色調のような光学的な量、それらの変化量や周波数特性などを算出する構成、粒子画像流速測定法(PIV,Perticle Image Velocity)やその他の方法による解析を行う構成としてもよい。 After that, in step S23, the motion vector is analyzed, and the physical quantity generated by the change in the facial expression is calculated. Examples of physical quantities here are related to the displacement of the coordinates of the feature points mentioned above, the moving speed, the acceleration, the moving direction, and the wave motion parameters of the plane movement, such as the period and the circumference, and the movement of the skin of the face. The amount can be mentioned. Further, it may be configured to calculate optical quantities such as brightness and color tone, the amount of change thereof, frequency characteristics, etc., and to perform analysis by a particle image velocimetry method (PIV, Personal Image Velocity) or other methods. ..

このようなそれぞれの物理量は、各フレームにおける値として求めてもよいし、また、動画像全体を通しての平均値として求めてもよい。あるいは、頬部、顎部といったように領域を設定し、その領域内における値の積算値や平均値などを求めてもよい。 Each such physical quantity may be obtained as a value in each frame, or may be obtained as an average value over the entire moving image. Alternatively, a region such as a cheek or a chin may be set, and an integrated value or an average value of values in the region may be obtained.

物理量測定の別の手法として、特徴点の座標追跡による物理量の算出処理を図2(b)のフローチャートに示す。 As another method of measuring the physical quantity, the calculation process of the physical quantity by tracking the coordinates of the feature points is shown in the flowchart of FIG. 2 (b).

まず、ステップS31において、ステップS21と同様、任意の方法にて特徴点の算出を行う。または、ステップS11における動画像の撮影の際に、予め撮影対象となる顔にマーカーなどを配置しておき、それらを特徴点として用いてもよい。 First, in step S31, the feature points are calculated by an arbitrary method as in step S21. Alternatively, when shooting a moving image in step S11, markers or the like may be arranged in advance on the face to be shot and used as feature points.

そして、ステップS32において、動画像中の各フレームにおける各特徴点の座標を算出する。 Then, in step S32, the coordinates of each feature point in each frame in the moving image are calculated.

そして、ステップS33で、各フレーム間における特徴点の座標の変化の追跡を行い、ステップS23の説明にて挙げたような、物理量を算出する。例えば、各特徴点の速度や加速度の時間変化である。また、基準点とする特徴点を設定し、それと他の任意の特徴点との間の距離の時間変化を求めてもよい。これはすなわち、任意の特徴点の顔上での相対的な速度にあたる値である。更に別の物理量として、3つ以上の特徴点によって囲まれる面積の時間変化が挙げられる。これにより、顔上の任意の部位の皮膚の伸縮の態様を数値化することができる。 Then, in step S33, the change in the coordinates of the feature points between each frame is tracked, and the physical quantity as described in the explanation of step S23 is calculated. For example, it is the time change of the velocity and acceleration of each feature point. Further, a feature point as a reference point may be set, and the time change of the distance between the feature point and any other feature point may be obtained. That is, it is a value corresponding to the relative velocity of any feature point on the face. Yet another physical quantity is the time variation of the area surrounded by three or more feature points. Thereby, the mode of expansion and contraction of the skin at any part on the face can be quantified.

また、先に述べたように、ステップS11においてステレオ動画像を取得した場合には、平面のみでなく、奥行きも加味した三次元的な解析を行うことができる。すなわち、ステップS32においてステレオ法などの任意の方法での三次元空間における特徴点座標を算出し、ステップS33で三次元空間における特徴点の座標変化の追跡を行うことができる。これにより、表情変化に伴う皮膚の立体的な動きを、より正確に解析することができる。 Further, as described above, when the stereo moving image is acquired in step S11, it is possible to perform a three-dimensional analysis in which not only the plane but also the depth is taken into consideration. That is, in step S32, the coordinate of the feature point in the three-dimensional space can be calculated by an arbitrary method such as the stereo method, and in step S33, the coordinate change of the feature point in the three-dimensional space can be tracked. This makes it possible to more accurately analyze the three-dimensional movement of the skin due to changes in facial expressions.

なお、上述した動きベクトルを用いた物理量の測定と、特徴点の座標の追跡による物理量の測定は、そのどちらか一方、又はそれら両方を行う構成としてよい。さらに、これらと異なる手法による動画像解析を行い、物理量の測定を行ってもよい。 The physical quantity measurement using the motion vector described above and the physical quantity measurement by tracking the coordinates of the feature points may be configured to perform either one or both of them. Further, a moving image analysis by a method different from these may be performed to measure the physical quantity.

<生理学的量の測定>
ステップS15では、動画像の撮影対象となる顔の皮膚に関する生理学的量の測定を行う。
皮膚に関する生理学的量としては、皮膚表面物性及び/又は内部物性、皮膚組織の組成等が挙げられ、顔の見た目印象と相関のあることが知られているものを用いることができる。例えば、顔の見た目印象が年齢印象である場合には、老化への関与メカニズムが明らかにされている皮膚に関する生理学的量を用いることができる。このような生理学的量として、皮膚表面の物性、例えば皮膚表面粗さ、角層表皮の物性、例えば角層水分量、真皮の物性、例えばコラーゲン線維束量や構造、脂肪層の物性、例えば脂肪体の位置、大きさなど、乳頭層もしくは乳頭層の物性、例えば、乳頭構造の単位面積あたりの個数、高さなどが挙げられる。前記生理学的量は、好ましくは、前記印象決定部位の生理学的量である。
生理学的量の測定は、従来知られている方法により行うことができる。本発明では、非侵襲的方法(手術を伴わない方法)により行う場合に限定される。
<Measurement of physiological amount>
In step S15, the physiological amount of the skin of the face to be photographed for the moving image is measured.
Examples of the physiological amount related to the skin include skin surface physical characteristics and / or internal physical characteristics, skin tissue composition, and the like, and those known to have a correlation with the appearance impression of the face can be used. For example, if the visual impression of the face is an age impression, physiological amounts for the skin for which the mechanism involved in aging has been clarified can be used. Such physiological quantities include skin surface characteristics such as skin surface roughness, stratum corneum skin properties such as stratum corneum water content, dermal properties such as collagen fiber bundle amount and structure, and fat layer physical properties such as fat. Physical characteristics of the papillary layer or papillary layer such as the position and size of the body, for example, the number and height of the papillary structure per unit area and the like can be mentioned. The physiological amount is preferably the physiological amount of the impression-determining site.
The measurement of the physiological amount can be performed by a conventionally known method. The present invention is limited to non-invasive methods (methods that do not involve surgery).

ステップS11〜S15の各工程は、次の相関関係の解析を行うのに十分な、複数の異なる顔を対象として行う。 Each step of steps S11 to S15 is performed on a plurality of different faces, which is sufficient to perform the following correlation analysis.

<見た目印象決定因子の抽出>
ステップS16では、ステップS14において動画像より取得した物理量より、顔の見た目印象の決定因子の抽出を行う。
<Extraction of appearance determinants>
In step S16, a determinant of the appearance impression of the face is extracted from the physical quantity acquired from the moving image in step S14.

ここでは、ステップS14で取得した物理量と、ステップS12で取得した目視評価値、又はステップS15で測定した生理学的量との相関関係の解析を行い、物理量の中から、目視評価値又は生理学的量を決定する因子となるものを抽出する。 Here, the correlation between the physical quantity acquired in step S14 and the visual evaluation value acquired in step S12 or the physiological quantity measured in step S15 is analyzed, and the visual evaluation value or the physiological quantity is analyzed from the physical quantities. Extract the factors that determine.

例えば、目視評価値の異なる評価対象の、複数の動画像を比較し、それらの動画像からそれぞれ測定した物理量の中で、両者の間に差異があるものは、目視評価値との相関関係を有することが予測される。そして、さらに別の動画像についても同様の比較を行うことで、目視評価値と相関関係を持ち、見た目印象の決定因子となっている物理量、そしてその物理量と目視評価値との相関関係を明らかにすることができる。
相関関係の解析は、従来知られている方法を用いて行うことができる。
For example, a plurality of moving images of evaluation targets having different visual evaluation values are compared, and among the physical quantities measured from those moving images, those having a difference between the two have a correlation with the visual evaluation value. Expected to have. Then, by making the same comparison for another moving image, the physical quantity that has a correlation with the visual evaluation value and is a determinant of the appearance impression, and the correlation between the physical quantity and the visual evaluation value are clarified. Can be.
Correlation analysis can be performed using conventionally known methods.

また、先述したように、ステップS12における目視評価値の取得の際に、表情変化の前後2枚の静止画像を提示した場合の目視評価値を取得している場合には、それに対応する動画像に対する目視評価値との比較を行ってもよい。例えば、同一の評価対象の静止画像に対する目視評価値と、動画像に対する目視評価値とが大きく異なる場合には、その動画像中に含まれる物理量が、顔の見た目の印象の決定因子であると推定できる。 Further, as described above, when the visual evaluation value is acquired in step S12, when the visual evaluation value when two still images before and after the facial expression change are presented, the corresponding moving image is obtained. May be compared with the visual evaluation value. For example, when the visual evaluation value for a still image of the same evaluation target and the visual evaluation value for a moving image are significantly different, the physical quantity contained in the moving image is a determinant of the visual impression of the face. Can be estimated.

同様に、動画像から得られた物理量と皮膚に関する生理学的量との相関関係を解析することにより、皮膚に関する生理学的量と相関の高い物理量を決定することができ、当該物理量が、顔の見た目の印象の決定因子であると推定できる。 Similarly, by analyzing the correlation between the physical quantity obtained from the moving image and the physiological quantity related to the skin, it is possible to determine the physical quantity having a high correlation with the physiological quantity related to the skin, and the physical quantity is the appearance of the face. It can be presumed to be a determinant of the impression of.

以上のように、本発明によれば、表情変化を含む動画像を評価者へと提示し、評価者の視線を解析することによって、顔の見た目印象を決定する部位を、そして、該動画像より物理量を抽出し、それらを解析することによって、顔の見た目印象の決定因子を抽出することができる。 As described above, according to the present invention, a moving image including a change in facial expression is presented to the evaluator, and by analyzing the line of sight of the evaluator, a portion for determining the appearance impression of the face is determined, and the moving image. By extracting more physical quantities and analyzing them, it is possible to extract the determinants of the appearance impression of the face.

なお、目視評価値の取得及び物理量との相関関係の解析と、生理学的量の測定及び物理量との相関関係の解析は、それら両方を行ってもよいし、必要に応じてどちらか一方のみを行ってもよい。また、さらに異なる評価値や量を用い、それと動画像より測定した物理量との相関関係の解析を行ってもよい。 It should be noted that the acquisition of the visual evaluation value and the analysis of the correlation with the physical quantity, the measurement of the physiological quantity and the analysis of the correlation with the physical quantity may be performed both, or only one of them may be performed as necessary. You may go. Further, different evaluation values and quantities may be used to analyze the correlation between the evaluation values and the physical quantities measured from the moving images.

[2]本発明の顔の見た目印象の鑑別方法及び顔印象解析装置
本発明は、表情変化を含む、被験者の顔の印象決定部位の動画像を取得し、それを解析することによって物理量を測定して、被験者の顔の見た目印象を鑑別する方法、及び顔の見た目印象解析装置である。
[2] Method for Discriminating Appearance Impression of Face of the Present Invention and Face Impression Analytical Device The present invention acquires a moving image of an impression-determining part of a subject's face, including a change in facial expression, and measures the physical quantity by analyzing the moving image. Then, it is a method of discriminating the appearance impression of the face of the subject, and an appearance analysis device of the face.

図3に機能ブロック図を示すように、本発明に係る顔印象解析装置は、動画像取得手段1と、物理量測定手段2と、相関関係記憶手段3と、目視評価値算出手段4と、生理学的量算出手段5と、を備える。 As shown in the functional block diagram in FIG. 3, the face impression analysis device according to the present invention includes a moving image acquisition means 1, a physical quantity measuring means 2, a correlation storage means 3, a visual evaluation value calculating means 4, and physiology. A physical quantity calculation means 5 is provided.

さらに、動画像取得手段1は、ステレオ動画像取得手段11を有し、物理量測定手段2は、特徴点抽出手段21と、動きベクトル特定手段22と、動きベクトル解析手段23と、特徴点座標算出手段24と、特徴点追跡手段25と、を有する。 Further, the moving image acquiring means 1 has a stereo moving image acquiring means 11, and the physical quantity measuring means 2 includes a feature point extracting means 21, a motion vector specifying means 22, a motion vector analysis means 23, and feature point coordinate calculation. It has means 24 and feature point tracking means 25.

相関関係記憶手段3は、顔の見た目印象の決定因子の抽出の過程において、物理量と目視評価値とを解析して得られた相関関係を示す式や、物理量と生理学的量とを解析して得られた相関関係を示す式などの情報を保持する。 In the process of extracting the determinant of the appearance impression of the face, the correlation storage means 3 analyzes the formula showing the correlation obtained by analyzing the physical quantity and the visual evaluation value, and the physical quantity and the physiological quantity. Information such as an expression showing the obtained correlation is retained.

なお、本発明に係る顔印象解析装置は、演算装置と、主記憶装置と、補助記憶装置と、各種の入出力装置と、を備える、汎用的なコンピュータ装置を用い、その補助記憶装置に、コンピュータ装置を先述した各手段として機能させるための顔印象解析プログラムを記憶させることで実現する。そして、該コンピュータ装置を顔印象解析装置として機能させる際には、顔印象解析プログラムを必要に応じて主記憶装置上に展開し、演算装置による処理を行う。 The face impression analysis device according to the present invention uses a general-purpose computer device including an arithmetic unit, a main storage device, an auxiliary storage device, and various input / output devices, and the auxiliary storage device thereof is used. This is realized by storing a face impression analysis program for making the computer device function as each of the above-mentioned means. Then, when the computer device is made to function as the face impression analysis device, the face impression analysis program is developed on the main storage device as needed, and the processing by the arithmetic unit is performed.

また、動画像取得手段1としてカメラ装置を用い、それによって得た動画像を物理量測定手段2へと受け渡す構成や、相関関係記憶手段3を汎用的なサーバ装置によって実現する構成など、任意の複数機器を、USB(Universal Serial Bus)接続や記録メディアを用いたデータの受け渡し、インターネットやLAN(Local Area Network)などのネットワーク経由での通信を可能に構成してもよい。 Further, any configuration such as a configuration in which a camera device is used as the moving image acquisition means 1 and the moving image obtained thereby is passed to the physical quantity measuring means 2, or a configuration in which the correlation storage means 3 is realized by a general-purpose server device, etc. A plurality of devices may be configured to enable communication via a USB (Universal Real Bus) connection, data transfer using a recording medium, and a network such as the Internet or a LAN (Local Area Network).

<動画像の取得>
図4は、顔印象解析装置による、被験者の顔の見た目印象の鑑別方法を示すフローチャートである。まず、ステップS41において、動画像取得手段1を用いて、被験者の顔の表情変化を含む動画像を取得する。なお、ステレオ動画像取得手段11によって、被験者の顔の表情変化を含むステレオ動画像を取得してもよい。また、この際に、後の物理量の測定において特徴点として使用するマーカーを、被験者の顔に予め設置した動画像を取得してもよい。
<Acquisition of moving image>
FIG. 4 is a flowchart showing a method of discriminating the appearance impression of the subject's face by the face impression analysis device. First, in step S41, the moving image acquisition means 1 is used to acquire a moving image including a change in the facial expression of the subject's face. The stereo moving image acquisition means 11 may acquire a stereo moving image including a change in the facial expression of the subject's face. Further, at this time, a moving image in which a marker used as a feature point in the subsequent measurement of the physical quantity is previously placed on the face of the subject may be acquired.

<物理量の測定>
そして、ステップS42において、物理量測定手段2を用いて、物理量の測定を行う。
ここでは、先に図2を参照して説明した内容と同様の処理にて、先述した顔の見た目印象の決定因子の抽出方法によって、顔の見た目印象の決定因子として抽出された物理量の算出を行う。
<Measurement of physical quantity>
Then, in step S42, the physical quantity is measured by using the physical quantity measuring means 2.
Here, the physical quantity extracted as the determinant of the facial appearance impression is calculated by the above-mentioned method for extracting the facial appearance impression determinant by the same processing as that described with reference to FIG. conduct.

図2(a)に示す動きベクトルを用いた物理量の算出を行う場合には、ステップS21の特徴点抽出処理を特徴点抽出手段21によって行い、ステップS22の動きベクトルの特定処理を動きベクトル特定手段22によって行った後、ステップS23の動きベクトル解析処理を動きベクトル解析手段23によって行う。 When the physical quantity is calculated using the motion vector shown in FIG. 2A, the feature point extraction process in step S21 is performed by the feature point extraction means 21, and the motion vector identification process in step S22 is performed by the motion vector identification means. After performing the motion vector analysis process in step S23, the motion vector analysis means 23 performs the motion vector analysis process in step S23.

図2(b)に示す特徴点座標を用いた物理量の算出を行う場合には、ステップS31の特徴点抽出処理を特徴点抽出手段21によって行い、ステップS32の特徴点座標の算出処理を特徴点座標算出手段24によって行った後、ステップS33の特徴点座標の追跡処理を特徴点追跡手段25によって行う。 When the physical quantity is calculated using the feature point coordinates shown in FIG. 2B, the feature point extraction process in step S31 is performed by the feature point extraction means 21, and the feature point coordinates calculation process in step S32 is performed. After the coordinate calculation means 24, the feature point tracking means 25 performs the tracking process of the feature point coordinates in step S33.

また、ステップS41においてステレオ動画像を取得していた場合には、ステップS32においてステレオ法などの任意の方法での三次元空間における特徴点座標を算出し、ステップS33で三次元空間における特徴点の座標変化の追跡を行ってもよい。 Further, when the stereo moving image was acquired in step S41, the feature point coordinates in the three-dimensional space are calculated by an arbitrary method such as the stereo method in step S32, and the feature points in the three-dimensional space are calculated in step S33. Coordinate changes may be tracked.

なお、動きベクトルを用いた物理量の測定と、特徴点座標を用いた物理量の測定の両方を用いて物理量の算出を行う場合には、ステップS21とステップS31における特徴点座標算出処理は、どちらか一方のみを行って特徴点を共有する構成としてもよいし、それぞれの手法において効果的に物理量を測定するために、ステップS21とステップS31を共に実行してそれぞれ異なる特徴点を抽出する構成としてもよい。 When the physical quantity is calculated using both the physical quantity measurement using the motion vector and the physical quantity measurement using the feature point coordinates, which of the feature point coordinate calculation processes is performed in step S21 and step S31? A configuration may be performed in which only one is performed to share the feature points, or a configuration in which steps S21 and S31 are executed together to extract different feature points in order to effectively measure the physical quantity in each method. good.

<顔の見た目印象の解析>
ステップS43では、ステップS42で測定した物理量の解析を行い、顔の見た目印象の鑑別を行う。それにより、被験者の顔の見た目印象の目視評価値と、被験者の顔の皮膚に関する生理学的量のうちの、少なくとも1つの算出を行う。
<Analysis of facial appearance impression>
In step S43, the physical quantity measured in step S42 is analyzed to distinguish the appearance impression of the face. Thereby, at least one of the visual evaluation value of the visual impression of the subject's face and the physiological amount of the subject's facial skin is calculated.

図5(a)は、目視評価値算出手段4による目視評価値の算出処理を示すフローチャートである。まず、ステップS51で、相関関係記憶手段3より、物理量と目視評価値との相関関係データを取得する。 FIG. 5A is a flowchart showing the calculation process of the visual evaluation value by the visual evaluation value calculation means 4. First, in step S51, the correlation data between the physical quantity and the visual evaluation value is acquired from the correlation storage means 3.

そして、ステップS52において、ステップS42で取得した物理量と、ステップS51で取得した相関関係データとに基づいて、目視評価値の算出を行う。算出された目視評価値から、被験者の顔の見た目印象の鑑別を行うことができる。 Then, in step S52, the visual evaluation value is calculated based on the physical quantity acquired in step S42 and the correlation data acquired in step S51. From the calculated visual evaluation value, it is possible to discriminate the appearance impression of the subject's face.

図5(b)は、生理学的量算出手段5による生理学的量の算出処理を示すフローチャートである。こちらについても、上述の目視評価値の算出処理と同様の処理であり、まずステップS61で、相関関係記憶手段3より、物理量と生理学的量との相関関係データを取得する。 FIG. 5B is a flowchart showing a physiological quantity calculation process by the physiological quantity calculation means 5. This is also the same process as the above-mentioned visual evaluation value calculation process. First, in step S61, the correlation data between the physical quantity and the physiological quantity is acquired from the correlation storage means 3.

そして、ステップS62において、ステップS42で取得した物理量と、ステップS61で取得した相関関係データとに基づいて、生理学的量の算出を行う。算出された生理学的量から、被験者の顔の見た目印象の鑑別を行うことができる。 Then, in step S62, the physiological quantity is calculated based on the physical quantity acquired in step S42 and the correlation data acquired in step S61. From the calculated physiological amount, it is possible to discriminate the appearance impression of the subject's face.

以上のように、被験者の顔の表情変化を含む動画像を解析することによって物理量を測定し、該被験者についての物理量から、物理量と目視評価値又は生理学的量との相関関係に基づいて、被験者についての目視評価値及び/又は生理学的量を算出し、算出値から被験者の顔の見た目印象の鑑別を行うことができる。 As described above, the physical quantity is measured by analyzing the moving image including the facial expression change of the subject, and the subject is based on the correlation between the physical quantity and the visual evaluation value or the physiological quantity from the physical quantity of the subject. The visual evaluation value and / or the physiological quantity of the subject can be calculated, and the appearance impression of the subject's face can be discriminated from the calculated value.

なお、ステレオ動画像取得手段11を用いてステレオ動画像を取得すれば、物理量測定手段2によって三次元的な解析を行うことが可能となるが、ステレオ動画像取得手段11は一般的な単眼カメラなどと比較して高価である。そのため、ステレオ動画像取得手段11を省略し、一般的な単眼カメラなどを動画像取得手段1として備え、物理量測定手段2によって二次元的な解析のみを行う構成としてもよい。このような構成とすることにより、顔印象解析装置を低コストに実現することができる。 If the stereo moving image is acquired by using the stereo moving image acquiring means 11, the physical quantity measuring means 2 can perform a three-dimensional analysis. However, the stereo moving image acquiring means 11 is a general monocular camera. It is expensive compared to such. Therefore, the stereo moving image acquisition means 11 may be omitted, a general monocular camera or the like may be provided as the moving image acquisition means 1, and only the two-dimensional analysis may be performed by the physical quantity measuring means 2. With such a configuration, the face impression analysis device can be realized at low cost.

また、本発明に係る顔の見た目印象の鑑別方法及び顔印象解析装置の利用方法として、化粧効果の鑑別方法が挙げられる。これはすなわち、被験者の化粧前の顔の動画像を用いて行った見た目印象の解析結果と、被験者の化粧後の顔の動画像を用いて行った見た目印象の解析とを比較することにより、化粧が見た目印象へ及ぼした効果を鑑別するものである。 Further, as a method for discriminating the appearance impression of the face and a method for using the face impression analysis device according to the present invention, there is a method for discriminating the cosmetic effect. That is, by comparing the analysis result of the appearance impression performed using the moving image of the face before makeup of the subject and the analysis of the appearance impression performed using the moving image of the face after makeup of the subject. It distinguishes the effect of makeup on the appearance impression.

以下に、顔の見た目の年齢印象の目視評価値の取得、印象決定部位の抽出、及び物理量の測定についての実施例を挙げて、本発明について更に詳細に説明を加えるが、本発明がこの実施例にのみ限定されないことは言うまでもない。 Hereinafter, the present invention will be described in more detail by giving examples of acquisition of a visual evaluation value of an age impression of the appearance of a face, extraction of an impression determining site, and measurement of a physical quantity. It goes without saying that it is not limited to just an example.

[1]動画像と連続静止画像による目視評価値の取得
<動画像の取得>
20人の評価対象(年齢は20〜60歳代)について、顔の表情変化を含む9秒間の動画像を撮影した。そして、動画像中より、表情変化前の1フレームと、表情変化後の1フレームとを、共に静止画像として抽出し、それらの2フレームのみを9秒間に表示する、連続静止画像を作成した。図6(a)に動画像の模式図を、図6(b)に連続静止画像の模式図を、それぞれ示す。
[1] Acquisition of visual evaluation values using moving images and continuous still images <Acquisition of moving images>
Nine seconds of moving images including changes in facial expressions were taken for 20 evaluation subjects (ages in their 20s and 60s). Then, one frame before the facial expression change and one frame after the facial expression change were both extracted as still images from the moving image, and a continuous still image was created in which only those two frames were displayed in 9 seconds. FIG. 6A shows a schematic diagram of a moving image, and FIG. 6B shows a schematic diagram of a continuous still image.

<目視評価値の取得>
モニターを用いて15人の評価者に、上記の動画像又は連続静止画像を、ランダムに表示し、顔の見た目の年齢印象の目視評価値の取得を行った。評価者への動画像及び連続静止画像の提示の際には、視線解析装置を用いて、評価者の視線が動画像及び静止画像のどの領域に何回、何秒間滞留するかの解析を行った。図7に、評価者への動画像及び静止画像の提示方法の模式図を示す。
<Acquisition of visual evaluation value>
The above moving image or continuous still image was randomly displayed on 15 evaluators using a monitor, and the visual evaluation value of the age impression of the appearance of the face was acquired. When presenting a moving image and a continuous still image to an evaluator, a line-of-sight analysis device is used to analyze how many times and how many seconds the evaluator's line of sight stays in which area of the moving image or still image. rice field. FIG. 7 shows a schematic diagram of a method of presenting a moving image and a still image to an evaluator.

まず、図7(a)に示すように、これから数字が表示され、次いで評価対象の顔が表示されること、そして、数字の世代の前半か後半かの回答を求める指示を提示した。これにより、この後表示される動画像又は連続静止画像を見る際に、評価者は評価対象の年齢印象についての判別を意識することになる。 First, as shown in FIG. 7A, the numbers are now displayed, then the face to be evaluated is displayed, and instructions are presented asking for an answer as to whether the numbers are in the first half or the second half of the generation. As a result, when viewing the moving image or the continuous still image displayed after that, the evaluator becomes aware of the determination of the age impression of the evaluation target.

次いで、図7(b)に示すように、数字を表示した。この数字は、この後に動画像又は連続静止画像中の評価対象の実年齢の1の位を切り捨てたものである。本実施例における対象の年齢は先述の通り20〜60歳代であるので、20、30、40、50、60のうちの何れかの数字を表示した。 Then, as shown in FIG. 7 (b), the numbers were displayed. This number is subsequently rounded down to the first place of the actual age of the evaluation target in the moving image or the continuous still image. Since the target age in this embodiment is in the 20s to 60s as described above, any number of 20, 30, 40, 50, and 60 is displayed.

そして、図7(c)に示すように、9秒間の動画像あるいは連続静止画像を表示し、その後、図7(d)に示すように、図7(c)で表示した評価対象が、図7(b)で表示した数字の世代の前半か後半かの回答を求めた。 Then, as shown in FIG. 7 (c), a moving image or a continuous still image for 9 seconds is displayed, and then, as shown in FIG. 7 (d), the evaluation target displayed in FIG. 7 (c) is shown in FIG. We asked for answers on whether the numbers displayed in 7 (b) were the first half or the second half of the generation.

すなわち、図7に示した一例では、評価対象の年齢が30〜39歳の間の何れかであり、評価者はそれに対して、30代前半か30代後半かの回答を行った。 That is, in the example shown in FIG. 7, the age of the evaluation target was either between 30 and 39 years old, and the evaluator replied whether he was in his early 30s or late 30s.

上記のような手順で取得した評価者の回答において、評価者が世代の後半であると評価した場合には、すなわち、評価対象に対して老化印象を感じたものであると判断できる。 In the response of the evaluator obtained by the above procedure, if the evaluator evaluates that it is in the latter half of the generation, that is, it can be judged that the evaluator feels an aging impression.

図8は、評価者より取得した目視評価値を全評価対象について集計したものである。ここに示すように、連続静止画像よりも動画像の方が評価者へと高い年齢印象を与えたことが読み取れる。これより、動画像に含まれる表情変化中の動きに、評価者へと高い年齢印象を与える因子が含まれていることがわかる。 FIG. 8 is a compilation of the visual evaluation values obtained from the evaluators for all evaluation targets. As shown here, it can be read that the moving image gave the evaluator a higher age impression than the continuous still image. From this, it can be seen that the movement during the facial expression change included in the moving image contains a factor that gives a high age impression to the evaluator.

<印象決定部位の抽出>
ある評価対象についての動画像及び連続静止画像を表示した際の評価者の視線解析結果を、図9に示す。図9(a)は評価対象の動画像を表示した際に、図9(b)は評価対象の連続静止画像を表示した際に、評価者の視線の滞留が多く見られた点を示すものである。
<Extraction of impression determination site>
FIG. 9 shows the results of line-of-sight analysis of the evaluator when displaying a moving image and a continuous still image of a certain evaluation target. FIG. 9 (a) shows a point where the evaluator's line of sight was often retained when the moving image of the evaluation target was displayed, and FIG. 9 (b) was shown when the continuous still image of the evaluation target was displayed. Is.

これらの視線解析結果を見ると、動画像、連続静止画像のどちらを表示した場合についても、評価者は評価対象の頬及び目の周辺に着目していたことがわかる。これより、顔の見た目の年齢印象の決定部位は、頬及び目の周辺部であることが見いだされた。 Looking at these line-of-sight analysis results, it can be seen that the evaluator focused on the cheeks and the areas around the eyes to be evaluated regardless of whether the moving image or the continuous still image was displayed. From this, it was found that the areas where the appearance of the face was determined by the age impression were the cheeks and the periphery of the eyes.

また、動画像と連続静止画像のどちらについても年齢印象の決定部位が同一であるにもかかわらず、動画像の方が与える年齢印象が高いことより、年齢印象の決定因子は、年齢印象の決定部位における表情変化時の動きによって生じる物理量にあることが見いだされた。 In addition, although the determination site of the age impression is the same for both the moving image and the continuous still image, the age impression given by the moving image is higher, so that the determinant of the age impression is the determination of the age impression. It was found that it is in the physical quantity generated by the movement when the facial expression changes in the part.

[2]モーションキャプチャによる物理量の測定
<動画像の取得>
20代から60代の30人の女性を評価対象として、その顔に反射マーカーを、計測点を示すためのマーカーとして貼り付け、複数のカメラによって各評価対象の表情変化を含む動画像の撮影を行った。そして、この動画像を解析することにより、マーカーの三次元的な座標の変化を追跡する、モーションキャプチャを行った。また、評価者へ動画像を提示し、各評価対象の年齢の目視評価値の取得を行った。
[2] Measurement of physical quantities by motion capture <Acquisition of moving images>
For 30 women in their 20s to 60s, a reflective marker was attached to their faces as markers to indicate measurement points, and multiple cameras were used to shoot moving images including facial expression changes for each evaluation target. went. Then, by analyzing this moving image, motion capture was performed to track the change in the three-dimensional coordinates of the marker. In addition, a moving image was presented to the evaluator, and the visual evaluation value of the age of each evaluation target was acquired.

ここでは、真顔の状態から、図10(a)に示すような口を大きく開いた状態へ、そして図10(b)に示すような口を閉じた表情をとった後に、再度真顔に戻る、という一連の表情変化を含む動画を、モーションキャプチャ及び目視評価値の取得に用いた。 Here, the facial expression is changed from a straight face to a wide open mouth as shown in FIG. 10 (a), and after taking a closed facial expression as shown in FIG. 10 (b), the face is returned to the true face again. A moving image containing a series of facial expression changes was used for motion capture and acquisition of visual evaluation values.

そして、下記に示すように、マーカーの移動位置、移動量、移動速度、2つのマーカーの動きの関係性、3つ以上のマーカーによって囲まれる面積の時間変化のそれぞれについて解析を行い、物理量を抽出した。 Then, as shown below, the physical quantity is extracted by analyzing the movement position, movement amount, movement speed of the markers, the relationship between the movements of the two markers, and the time change of the area surrounded by three or more markers. bottom.

<マーカーの移動速度の測定>
各評価対象の顔におけるマーカーの移動の追跡をおこない、その移動速度の測定を行ったところ、図11に示すような結果が得られた。
<Measurement of marker movement speed>
The movement of the marker on the face of each evaluation target was tracked, and the movement speed was measured. As a result, the results shown in FIG. 11 were obtained.

図11(a)は、年齢の目視評価値が実年齢よりも高かった評価対象、すなわち、見た目の年齢印象の高い評価対象の、図11(b)は、年齢の目視評価値が実年齢よりも低かった評価対象、すなわち、見た目の年齢印象の低い評価対象の、それぞれにおけるマーカーの移動速度の時間変化を示すグラフである。なお、これは、縦軸にマーカーの移動速度を、横軸に、動画像中におけるフレーム数を時間要素として採用したものである。また、真顔の状態から図10(a)に示したような口を大きく開いた表情への表情変化時のマーカーの速度方向を伸び方向の速さ、図10(b)に示したような口を閉じた表情への表情変化時のマーカーの移動速度を縮み方向の速さとして示した。 FIG. 11A shows an evaluation target whose age visual evaluation value is higher than the actual age, that is, an evaluation target having a high visual age impression, and FIG. 11B shows an evaluation target whose age visual evaluation value is higher than the actual age. It is a graph showing the time change of the movement speed of the marker in each of the evaluation targets having a low age impression, that is, the evaluation targets having a low visual age impression. In this case, the vertical axis is the moving speed of the marker, and the horizontal axis is the number of frames in the moving image as the time element. Further, the speed direction of the marker when the facial expression changes from the state of a straight face to the facial expression with the mouth wide open as shown in FIG. 10 (a) is the speed in the extension direction, and the mouth as shown in FIG. 10 (b). The moving speed of the marker when the facial expression changes to the closed facial expression is shown as the speed in the contraction direction.

ここに示すように、老けて見える評価対象の特徴点の速度変化のグラフは、若く見える評価対象のそれに比べ、鋭いピークを持ち、速度の収束が早い結果となった。すなわち、老けて見える評価対象の特徴点の移動速度の変化は、若く見える評価対象のそれに比べて激しいものであると言える。 As shown here, the graph of the velocity change of the feature points of the evaluation target that looks old has a sharp peak and the velocity converges faster than that of the evaluation target that looks young. That is, it can be said that the change in the moving speed of the feature points of the evaluation target that looks old is more severe than that of the evaluation target that looks young.

図12は、図11(a)に示した、老けて見える評価対象の特徴点の移動の速さと、図11(b)に示した、若く見える評価対象の特徴点の移動の速さのそれぞれを積算し、それぞれのグラフの面積を算出したグラフである。 12 shows the speed of movement of the feature points of the evaluation target that looks old and the speed of movement of the feature points of the evaluation target that looks young as shown in FIG. 11 (b), respectively. It is a graph which calculated the area of each graph by integrating.

図12において、若く見える評価対象の方が、グラフ面積が大きくなっていることからも、若く見える評価対象の特徴点の移動速度の変化が、老けて見える評価対象のそれよりも緩やかであることが読み取れる。 In FIG. 12, since the graph area of the evaluation target that looks younger is larger, the change in the moving speed of the feature points of the evaluation target that looks younger is more gradual than that of the evaluation target that looks old. Can be read.

この結果より、表情の変化に対して、特徴点、すなわち皮膚の動きが緩やかに追従するような、しなやかな動きが、評価者に対して若く見える印象を与える可能性が見いだされた。 From this result, it was found that the characteristic points, that is, the supple movements in which the movements of the skin gently follow the changes in facial expressions, may give the evaluator the impression of being young.

<2つのマーカーの動きの関係性>
図13は、評価対象の顔の左側面部に設定されたマーカーを示す図である。ここに示すように、額の上部のマーカーを基準点M0として、頬の2点のマーカーM1、マーカーM2、及び顎に位置するマーカーM3を設定した。
<Relationship between the movements of the two markers>
FIG. 13 is a diagram showing a marker set on the left side surface of the face to be evaluated. As shown here, a marker M1 at two points on the cheek, a marker M2, and a marker M3 located on the chin were set with the marker at the upper part of the forehead as the reference point M0.

そして、図14(a)に示すような真顔の状態から、図14(b)に示すような口を大きく開いた表情への変化の際の、基準点M0とマーカーM1との間の距離L1の単位時間当たりの変化量V1と、基準点M0とマーカーM2との間の距離L2の単位時間当たりの変化量V2と、基準点M0とマーカーM3との間の距離L3の単位時間当たりの変化量V3と、の3つの変化量の時間変化を測定した。これはすなわち、基準点M0を基準とした、マーカーM1、M2、M3の相対速度の時間変化であると言える。 Then, the distance L1 between the reference point M0 and the marker M1 when changing from the state of a straight face as shown in FIG. 14 (a) to the expression with a wide open mouth as shown in FIG. 14 (b). Change amount V1 per unit time and the change amount V2 per unit time of the distance L2 between the reference point M0 and the marker M2, and the change L3 of the distance L3 between the reference point M0 and the marker M3 per unit time. The time change of the three changes of the quantity V3 was measured. That is, it can be said that this is a time change of the relative velocities of the markers M1, M2, and M3 with respect to the reference point M0.

上記の測定の結果、図15のグラフに示すような結果が得られた。図15(a)は、目視評価で若い見た目印象を持つと評価された評価対象の測定結果を示すグラフである。これを見ると、V1〜V3の最大値の絶対値は異なるが、それぞれが最大値をとる時刻は非常に近いことが読み取れる。一方で、図15(b)に示す、目視評価で老けた見た目印象を持つと評価された評価対象の測定結果をみると、V3が最大値をとった後、遅れてV1、V2が最大値をとるという結果となった。 As a result of the above measurement, the result as shown in the graph of FIG. 15 was obtained. FIG. 15A is a graph showing the measurement results of the evaluation target evaluated to have a young appearance impression by visual evaluation. Looking at this, it can be read that the absolute values of the maximum values of V1 to V3 are different, but the times when the maximum values are taken by each are very close. On the other hand, looking at the measurement results of the evaluation target, which was evaluated to have an aged appearance impression by visual evaluation, as shown in FIG. The result was that

これはすなわち、老けた見た目印象を持つ評価対象の表情変化においては、マーカーM1及びマーカーM2によってあらわされる頬の動きが、マーカーM3によって示される顎の動きよりも遅れていると言える。 That is, it can be said that the movement of the cheeks represented by the markers M1 and the marker M2 is delayed from the movement of the jaw indicated by the markers M3 in the facial expression change of the evaluation target having an aged appearance impression.

この結果より、表情変化時の頬の動きの追従性が良い場合に、評価者に対して若く見える印象を与える可能性が見いだされた。 From this result, it was found that there is a possibility of giving the evaluator an impression of being young when the followability of the cheek movement when the facial expression changes is good.

<3つ以上のマーカーによって囲まれる面積の時間変化>
図16に示すように、3つのマーカーによって囲まれる顎部A1と、4つのマーカーによって囲まれる頬部A2と、の2つの領域を設定した。そして、表情変化時における、それぞれの領域の面積の時間変化を測定し、それらの値を時間積算した結果を、各領域における皮膚の伸縮率として算出すると、図17のグラフに示すような結果が得られた。
<Time change of the area surrounded by 3 or more markers>
As shown in FIG. 16, two regions were set: a jaw A1 surrounded by three markers and a cheek A2 surrounded by four markers. Then, when the time change of the area of each region at the time of facial expression change is measured and the result of time integration of those values is calculated as the stretch ratio of the skin in each region, the result as shown in the graph of FIG. 17 is obtained. Obtained.

図17(a)は、目視評価で若い見た目印象を持つと評価された評価対象の測定結果を示すグラフである。また、図17(b)は、目視評価で老けた見た目印象を持つと評価された評価対象の測定結果を示すグラフである。これらを比較すると、若い見た目印象を持つ評価対象は、顎部A1よりも頬部A2の伸縮率が高いのに対して、老けた見た目印象を持つ評価対象は、顎部A1よりも頬部A2の伸縮性が低いという結果が得られた。 FIG. 17A is a graph showing the measurement results of the evaluation target evaluated to have a young appearance impression by visual evaluation. Further, FIG. 17B is a graph showing the measurement results of the evaluation target evaluated to have an aged appearance impression by visual evaluation. Comparing these, the evaluation target having a young appearance impression has a higher expansion / contraction rate of the cheek A2 than the jaw A1, while the evaluation target having an old appearance impression has a cheek A2 rather than the jaw A1. The result was that the elasticity of the cheeks was low.

この結果より、頬部A2の皮膚が顎部A1と比較して柔軟に伸縮する場合に、評価者に対して若く見える印象を与える可能性が見いだされた。 From this result, it was found that when the skin of the cheek part A2 expands and contracts more flexibly than the chin part A1, it may give the evaluator the impression of looking younger.

[3]オプティカルフロー法による物理量の測定
<動画像の取得>
20代から60代の80人の女性の評価対象のそれぞれについて、顔の表情変化を含む二次元の動画像の撮影を行った。そして、動画像中にグリッド状の格子点を設定し、動画像中の各フレーム間の濃淡変化から、図18に示すように、各フレームの各格子点における、皮膚の動きベクトルを求めた。また、動画像を評価者へ提示し、各評価対象の年齢の目視評価値の取得を行った。
[3] Measurement of physical quantities by optical flow method <Acquisition of moving images>
Two-dimensional moving images including changes in facial expressions were taken for each of the 80 females in their 20s to 60s to be evaluated. Then, grid-shaped grid points were set in the moving image, and the movement vector of the skin at each grid point of each frame was obtained from the shading change between each frame in the moving image, as shown in FIG. In addition, the moving images were presented to the evaluators, and the visual evaluation values of the ages of each evaluation target were acquired.

なお、動画像の解析と、目視評価値の取得には、真顔から図19(a)の口を開けた表情をとり、図19(b)の真顔を経て、図19(c)に示すような表情へと変化し、また真顔に戻る動画像を用いた。 For the analysis of the moving image and the acquisition of the visual evaluation value, the facial expression with the mouth opened in FIG. 19 (a) is taken from the straight face, and the straight face in FIG. 19 (b) is passed through, as shown in FIG. 19 (c). We used a moving image that changed to a nice facial expression and returned to a true face.

<動きベクトルの変化>
表情変化中における動きベクトルの大きさ、すなわち、皮膚の動きの速さを、頬部位領域について解析した結果、図20に示すようなグラフが得られた。これは、縦軸を各フレームにおける動きベクトルの大きさの平均値、横軸をフレーム数、すなわち時間軸として、皮膚の動きの速さの時間変化を示すものである。これを見ると、グラフ中に実線で示す、目視評価で若い見た目印象を持つと評価された評価対象の測定結果に比べて、グラフ中に破線で示す目視評価で老けた見た目印象を持つと評価された評価対象の測定結果は、特に図19(c)に示すような表情への変化時において、鋭いピークを持つ形状となった。
<Changes in motion vector>
As a result of analyzing the magnitude of the motion vector during the facial expression change, that is, the speed of the skin movement for the cheek region, a graph as shown in FIG. 20 was obtained. This shows the time change of the speed of skin movement, with the vertical axis representing the average value of the magnitudes of the motion vectors in each frame and the horizontal axis representing the number of frames, that is, the time axis. Looking at this, it is evaluated that it has an old appearance impression by the visual evaluation shown by the broken line in the graph, compared with the measurement result of the evaluation target evaluated as having a young appearance impression by the visual evaluation shown by the solid line in the graph. The measurement result of the evaluation target was formed into a shape having a sharp peak, particularly at the time of change to the facial expression as shown in FIG. 19 (c).

図21は、図20に示した、老けて見える評価対象の皮膚の動きの速さと、若く見える評価対象の皮膚の動きの速さの収束する時間幅を算出した結果を示すグラフである。これを見ると、先に図12を参照して説明した、モーションキャプチャ動画による表情変化時のマーカーの動きの速さの測定結果が示す皮膚物性と同じように、若く見える評価対象の方が、グラフ値が大きくなっており、動きの変化が緩やかであることが読み取れる。 FIG. 21 is a graph showing the results of calculating the convergence time width between the speed of movement of the skin of the evaluation target that looks old and the speed of movement of the skin of the evaluation target that looks young, as shown in FIG. Looking at this, the evaluation target that looks younger is similar to the skin physical properties shown by the measurement result of the movement speed of the marker when the facial expression changes by the motion capture video explained earlier with reference to FIG. It can be seen that the graph value is large and the change in movement is gradual.

すなわち、評価対象の顔へとマーカーを物理的に設置し、複数台のカメラを用いて撮影することが必要となる三次元動画モーションキャプチャによる解析に代えて、簡単に撮影することのできる二次元動画像のオプティカルフロー法による解析によっても、同様の解析結果が得られる可能性が示唆された。 In other words, instead of the analysis by 3D video motion capture, which requires physically installing a marker on the face to be evaluated and shooting with multiple cameras, 2D that can be easily shot. It was suggested that the same analysis result may be obtained by the analysis of the moving image by the optical flow method.

本発明は、化粧品販売、カウンセリング、エステティック等の場面で、顧客の見た目の年齢印象等を簡便かつ正確に鑑別することなどに利用できる。 INDUSTRIAL APPLICABILITY The present invention can be used to easily and accurately discriminate an age impression of a customer's appearance in cosmetics sales, counseling, aesthetics, and the like.

1 動画像取得手段
11 ステレオ動画像取得手段
2 物理量測定手段
21 特徴点抽出手段
22 動きベクトル特定手段
23 動きベクトル解析手段
24 特徴点座標算出手段
25 特徴点追跡手段
3 相関関係記憶手段
4 目視評価値算出手段
5 生理学的量算出手段
1 Motion image acquisition means 11 Stereo video acquisition means 2 Physical quantity measurement means 21 Feature point extraction means 22 Motion vector identification means 23 Motion vector analysis means 24 Feature point coordinate calculation means 25 Feature point tracking means 3 Correlation storage means 4 Visual evaluation value Calculation means 5 Physiological quantity calculation means

Claims (21)

顔の見た目印象を決定する印象決定部位における、顔の表情変化によって生じる皮膚変化の物理量に基づいて、被験者の顔の見た目印象を鑑別することを特徴とする、顔の見た目印象の鑑別方法。 A method for distinguishing the appearance impression of a face, which comprises distinguishing the appearance impression of a subject's face based on the physical quantity of the skin change caused by the change of the facial expression at the impression determination site for determining the appearance impression of the face. 前記物理量が、前記顔に含まれる特徴点の移動の速度の大きさ、速度の方向、加速度の大きさ、加速度の方向の内、少なくとも1つを含むことを特徴とする、請求項1に記載の顔の見た目印象の鑑別方法。 The first aspect of the invention, wherein the physical quantity includes at least one of the magnitude of the moving speed, the direction of the velocity, the magnitude of the acceleration, and the direction of the acceleration included in the face. How to distinguish the appearance impression of the face. 前記物理量が、前記顔に含まれる1つの基準点と、前記顔に含まれる少なくとも2つの特徴点のそれぞれとの間の距離の時間変化に関する量を含むことを特徴とする、請求項1又は請求項2に記載の顔の見た目印象の鑑別方法。 1. Item 2. The method for distinguishing the appearance impression of a face according to item 2. 前記物理量が、前記顔に含まれる少なくとも3つの特徴点によって囲まれる面積の時間変化に関する量を含むことを特徴とする、請求項1から請求項3の何れかに記載の顔の見た目印象の鑑別方法。 The discrimination of the appearance impression of the face according to any one of claims 1 to 3, wherein the physical quantity includes an amount related to a time change of an area surrounded by at least three feature points contained in the face. Method. 前記顔の見た目印象の鑑別が、前記物理量と、顔の見た目印象の目視評価値との相関関係に基づいて、被験者についての前記物理量の測定値から被験者の顔の見た目印象の目視評価値を算出することを含むことを特徴とする、請求項1から請求項4の何れかに記載の顔の見た目印象の鑑別方法。 The discrimination of the appearance impression of the face calculates the visual evaluation value of the appearance impression of the subject's face from the measured value of the physical quantity for the subject based on the correlation between the physical quantity and the visual evaluation value of the appearance impression of the face. The method for discriminating the appearance impression of a face according to any one of claims 1 to 4, wherein the method comprises the same. 前記顔の見た目印象が年齢印象であることを特徴とする、請求項1から請求項5の何れかに記載の顔の見た目印象の鑑別方法。 The method for discriminating the appearance impression of a face according to any one of claims 1 to 5, wherein the appearance impression of the face is an age impression. 表情変化時の皮膚の動きに基づいて対象者の顔の見た目印象を解析する、顔印象解析装置であって、
前記表情変化の過程を含む動画像を取得する動画像取得手段と、
前記動画像より、前記表情変化によって生じる皮膚変化の物理量を測定する、物理量測定手段と、を備えることを特徴とする、顔印象解析装置。
It is a facial impression analysis device that analyzes the appearance impression of the subject's face based on the movement of the skin when the facial expression changes.
A moving image acquisition means for acquiring a moving image including the process of changing facial expressions,
A face impression analysis device comprising: a physical quantity measuring means for measuring a physical quantity of a skin change caused by the facial expression change from the moving image.
前記物理量測定手段が、前記動画像より複数の特徴点を抽出する特徴点抽出手段と、
前記動画像より前記特徴点の動きベクトルを特定する動きベクトル特定手段と、
前記動きベクトルを解析し、前記物理量を算出する動きベクトル解析手段と、を有することを特徴とする、請求項7に記載の顔印象解析装置。
The physical quantity measuring means includes a feature point extracting means for extracting a plurality of feature points from the moving image, and a feature point extracting means.
A motion vector specifying means for specifying a motion vector of the feature point from the moving image,
The face impression analysis apparatus according to claim 7, further comprising a motion vector analysis means for analyzing the motion vector and calculating the physical quantity.
前記物理量が、前記動きベクトルの大きさ及び/又は向きの時間変化に関する量を含むことを特徴とする、請求項8に記載の顔印象解析装置。 The face impression analysis apparatus according to claim 8, wherein the physical quantity includes a quantity related to a change in the magnitude and / or direction of the motion vector. 前記物理量測定手段が、前記動画像より複数の特徴点を抽出する特徴点抽出手段と、
前記動画像の各フレームにおける前記特徴点の座標を算出する特徴点座標算出手段と、
前記各フレーム間において対応する前記特徴点を特定し、前記物理量を算出する特徴点追跡手段と、を有することを特徴とする、請求項7に記載の顔印象解析装置。
The physical quantity measuring means includes a feature point extracting means for extracting a plurality of feature points from the moving image, and a feature point extracting means.
A feature point coordinate calculation means for calculating the coordinates of the feature points in each frame of the moving image, and
The face impression analysis apparatus according to claim 7, further comprising a feature point tracking means for identifying the corresponding feature points between the frames and calculating the physical quantity.
前記物理量が、少なくとも1つの前記特徴点の、座標の変位量、移動速度、加速度、移動方向、加速度の方向の内、少なくとも1つを含むことを特徴とする、請求項10に記載の顔印象解析装置。 The facial impression according to claim 10, wherein the physical quantity includes at least one of the coordinate displacement amount, the moving speed, the acceleration, the moving direction, and the direction of the acceleration of the at least one feature point. Analytical device. 前記物理量が、前記顔に含まれる1つの基準点と、前記顔に含まれる少なくとも2つの特徴点のそれぞれとの間の距離の時間変化に関する量を含むことを特徴とする、請求項10又は請求項11に記載の顔印象解析装置。 10. Claim 10 or claim, wherein the physical quantity includes a time variation of a distance between one reference point contained in the face and each of at least two feature points contained in the face. Item 11. The face impression analysis device according to item 11. 前記物理量が、少なくとも3つの前記特徴点によって囲まれる面積の時間変化に関する量を含むことを特徴とする、請求項10から請求項12の何れかに記載の顔印象解析装置。 The face impression analysis apparatus according to any one of claims 10 to 12, wherein the physical quantity includes a quantity related to a time change of an area surrounded by at least three feature points. 前記物理量の測定を、顔の見た目印象を決定する印象決定部位に対して行うことを特徴とする、請求項7から請求項13の何れかに記載の顔印象解析装置。 The face impression analysis apparatus according to any one of claims 7 to 13, wherein the measurement of the physical quantity is performed on an impression determining portion that determines the appearance impression of the face. 前記顔の見た目印象が年齢印象であることを特徴とする、請求項7から請求項13の何れかに記載の顔印象解析装置。 The face impression analysis device according to any one of claims 7 to 13, wherein the appearance impression of the face is an age impression. 前記物理量と、顔を目視評価して得られた顔の見た目印象の目視評価値との相関関係を記憶する、相関関係記憶手段を有し、
該相関関係記憶手段に記憶された相関関係に基づいて、被験者についての前記物理量の測定値から被験者の見た目印象の目視評価値を算出する、目視評価値算出手段を有することを特徴とする、請求項7から請求項15の何れかに記載の顔印象解析装置。
It has a correlation storage means for storing the correlation between the physical quantity and the visual evaluation value of the appearance impression of the face obtained by visually evaluating the face.
A claim comprising a visual evaluation value calculating means for calculating a visual evaluation value of a visual impression of a subject from the measured value of the physical quantity of the subject based on the correlation stored in the correlation storage means. The facial impression analysis apparatus according to any one of claims 7 to 15.
前記物理量と、皮膚に関する生理学的量との相関関係を記憶する、相関関係記憶手段を有し、
該相関関係記憶手段に記憶された相関関係に基づいて、被験者についての前記物理量の測定値から被験者の皮膚の生理学的量を算出する、生理学的量算出手段を有することを特徴とする、請求項7から請求項16の何れかに記載の顔印象解析装置。
It has a correlation storage means for storing the correlation between the physical quantity and the physiological quantity related to the skin.
The claim is characterized by having a physiological quantity calculating means for calculating the physiological quantity of the skin of the subject from the measured value of the physical quantity of the subject based on the correlation stored in the correlation storage means. 7. The facial impression analyzer according to any one of claims 16.
前記生理学的量が、前記顔の皮膚表面物性及び/又は内部物性であることを特徴とする、請求項17に記載の顔印象解析装置。 The facial impression analyzer according to claim 17, wherein the physiological amount is the skin surface physical characteristics and / or the internal physical characteristics of the face. 表情変化時の皮膚の動きに基づいて対象者の顔の見た目印象を解析する、顔印象解析プログラムであって、
コンピュータを、
顔の表情変化によって生じる皮膚変化の物理量を測定する手段と、
前記物理量に基づいて被験者の顔の見た目印象を鑑別する手段と、
として機能させることを特徴とする、顔印象解析プログラム。
It is a facial impression analysis program that analyzes the appearance impression of the subject's face based on the movement of the skin when the facial expression changes.
Computer,
A means to measure the physical quantity of skin changes caused by changes in facial expressions,
A means for discriminating the appearance impression of the subject's face based on the physical quantity,
A facial impression analysis program characterized by functioning as.
表情変化時の皮膚の動きに基づいて対象者の顔の見た目印象を解析する、動画像取得手段と、物理量測定手段と、を備える顔印象解析装置を用いた顔の見た目印象の解析方法であって、
前記動画像取得手段が、前記表情変化の過程を含む動画像を取得するステップと、
前記物理量測定手段が、前記表情変化によって生じる皮膚変化の物理量を算出するステップと、を備えることを特徴とする、顔の見た目印象の解析方法。
It is a method for analyzing the appearance of a face using a face impression analysis device equipped with a moving image acquisition means and a physical quantity measuring means for analyzing the appearance impression of the subject's face based on the movement of the skin when the facial expression changes. hand,
The step in which the moving image acquisition means acquires a moving image including the process of changing the facial expression,
A method for analyzing the appearance impression of a face, wherein the physical quantity measuring means includes a step of calculating a physical quantity of a skin change caused by the facial expression change.
顔の表情変化によって生じる皮膚変化の物理量に基づいた被験者の顔の見た目印象の鑑別による化粧効果の鑑別方法であって、
化粧前の顔の表情変化によって生じる、化粧前の前記物理量を抽出する化粧前物理量測定工程と、
前記物理量と前記顔の見た目印象の目視評価値の相関関係に基づいて、化粧前の目視評価値を算出する化粧前目視評価値算出工程と、
化粧後の顔の表情変化によって生じる、化粧後の前記物理量を抽出する化粧後物理量測定工程と、
前記相関関係に基づいて、化粧後の目視評価値を算出する化粧後目視評価値算出工程と、
前記化粧前の目視評価値と、前記化粧後の目視評価値と、を比較し、化粧効果を評価する化粧効果評価工程と、を備えることを特徴とする、化粧効果の鑑別方法。

It is a method of distinguishing the cosmetic effect by distinguishing the appearance impression of the subject's face based on the physical quantity of the skin change caused by the change of facial expression.
A pre-makeup physical quantity measurement step for extracting the physical quantity before make-up, which is caused by a change in facial expression before make-up.
A pre-makeup visual evaluation value calculation step for calculating a pre-makeup visual evaluation value based on the correlation between the physical quantity and the visual evaluation value of the appearance impression of the face.
A post-makeup physical quantity measurement step for extracting the post-makeup physical quantity caused by a change in facial expression after makeup,
A post-makeup visual evaluation value calculation step for calculating a post-makeup visual evaluation value based on the correlation, and a post-makeup visual evaluation value calculation step.
A method for discriminating cosmetic effects, which comprises a cosmetic effect evaluation step of comparing the visual evaluation value before makeup and the visual evaluation value after makeup to evaluate the makeup effect.

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