CN106127181B - Method and system for virtually trying on nail art - Google Patents
Method and system for virtually trying on nail art Download PDFInfo
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Abstract
The invention discloses a virtual fitting nail beautifying method and system, wherein the method comprises the steps of obtaining an image, and detecting a skin color model to obtain a segmentation area; carrying out mode classification on the segmentation areas according to the classifier and the texture features to obtain a hand shape detection target; extracting and calculating feature points in the hand-shaped detection target; identifying fingertips and finger roots on the contour in the hand-shape detection target according to the characteristic points; positioning the finger tip and the finger root on the full contour to obtain a finger direction line and obtain a finger direction; according to the positions and the finger directions of the fingertips, the wearing characteristics of the nail area are obtained, the nail type of the selected nail is correspondingly generated in the nail area according to the wearing characteristics, and the image of the wearing nail is obtained. The implementation method of the invention is safe, environment-friendly, low in price and convenient for management of nail art practitioners, and particularly, the method enables users to conveniently and visually see the effect of the preselected style on hands before making the nail art, thereby achieving the effect of enhancing the virtual nail art.
Description
Technical Field
The invention relates to the field of image recognition, in particular to a method and a system for virtually screening fingernails.
Background
Nail art is a work for decorating and beautifying nail, which is a process for disinfecting, cleaning, nursing, maintaining, decorating and beautifying nail according to the hand shape, nail shape, skin and color and requirements of clothes of nail art guests. In the nail art, at present, a customer needs to select styles before making nails, and generally has several traditional modes, namely, looking up an album of the nail styles for selection, and trying on plastic nail styles for selection. The two methods have the problems of high manufacturing cost, no environmental protection, easy damage, limited style and the like, and the user is inconvenient to select and cannot visually see what effect the nail art has on the hand of the user. The digital nail printer is a complex machine with modules such as a display device, a camera device, a spray painting device, a control device, a CPU, a storage device and the like, which integrates software and hardware. The digital nail beautifying machine stores a large number of nail beautifying patterns, the patterns are displayed on a display device, and a user can select the patterns through the display device. After the user selects the pattern, the pattern is sprayed on the nail according to the three-dimensional shape of the nail by the nail art machine. But the test wearing can not be realized, and the nail pattern can only be directly printed and sprayed on the nail.
Disclosure of Invention
The invention aims to solve the technical problem of realizing virtual nail fitting through a hand recognition algorithm. The finger position of the user is automatically identified, the appearance that the user carries the preselection nail is displayed on the intelligent terminal, and the effect of virtually trying on the nail is achieved.
The invention provides a virtual fitting nail-beautifying method, which solves the technical problem and comprises the following steps:
acquiring an image, and detecting a skin color model to obtain a segmentation area;
performing mode classification on the segmentation region according to the classifier and the texture features to obtain a hand shape detection target;
extracting and calculating feature points in the hand shape detection target;
identifying fingertips and finger roots on the contour in the hand shape detection target according to the characteristic points,
positioning the finger tip and the finger root on the full contour to obtain a finger direction line and obtain a finger direction;
and obtaining a nail region wearing feature according to the position of the fingertip and the finger direction, and correspondingly generating a selected nail type according to the nail region wearing feature to obtain an image of wearing nails.
Further, the hand shape detection target is a palm contour.
Further, an image is acquired by the camera.
Further, the feature points include a convex envelope/concave envelope point of the contour, an extreme point of curvature of the contour, and an extreme point of distance from a point on the contour to the center of the palm.
Further, the method for obtaining the wearing characteristics of the nail region according to the position of the fingertip and the finger direction comprises,
and calculating the length of the fingernail according to the thickness of the fingertip part of the fingernail and the width-height ratio of the fingernail.
Further, the thickness dimension of the fingertip portion is obtained using an isosceles triangle method.
Still further, the classifier comprises one or more of an SVM classifier and a haar classifier.
Based on the above, the invention also provides a virtual fitting nail-beautifying system, which comprises a fitting customizing unit, an identifying unit, a fitting enhancement display unit and a nail-beautifying type database,
the fitting customizing unit is used for selecting the nail type to be fitted;
the identification unit is used for acquiring an image and detecting a skin color model to obtain a segmentation area; performing mode classification on the segmentation region according to the classifier and the texture features to obtain a hand shape detection target; extracting and calculating feature points in the hand shape detection target; identifying fingertips and finger roots on the contour in the hand-shaped detection target according to the characteristic points, and positioning the fingertips and the finger roots on the full contour to obtain a finger direction line and obtain a finger direction; obtaining a nail region wearing characteristic according to the position of the fingertip and the finger direction;
the display unit is used for displaying an image of wearing the nail art;
the nail-beautifying type database is used for organizing and storing nail-beautifying types;
the identification unit is further used for requesting the corresponding nail type in the nail area in the fitting customization unit to a server according to the wearing characteristics, inquiring in the nail type database and responding the matched nail type on the display unit.
Furthermore, the nail-beautifying database is connected with the cloud end and used for uploading and backing up nail-beautifying data.
Furthermore, the system also comprises an automatic generation unit for manufacturing and generating the nail type
The invention has the beneficial effects that:
1) the implementation method of the invention is safe, environment-friendly, low in price and convenient for management of nail art practitioners, and particularly, the method enables users to conveniently and visually see the effect of the preselected style on hands before making the nail art, thereby achieving the effect of enhancing the virtual nail art.
2) The invention provides a virtual fitting nail beautifying method, which is a method for realizing virtual fitting nail beautifying by nail positioning through nail identification and integrating nail beautifying style and hand images in a nail area.
3) According to the invention, the information of the position, direction, size and the like of the positioning point of the finger nail region can be obtained by identifying the palm, calculating the finger tip position and the finger direction, the algorithm is fast and accurate, and the matching goodness of fit is high.
Drawings
Fig. 1 is a schematic flow chart of a virtual fitting nail art method according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a virtual fitting nail art system according to an embodiment of the present invention.
Fig. 3 is an effect transformation diagram of virtual try-on.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments and the accompanying drawings.
Fig. 1 is a schematic flow chart of a virtual fitting nail art method according to an embodiment of the present invention.
In this embodiment, a virtual fitting nail art method includes the following steps:
step S100, acquiring an image, and detecting a skin color model to obtain a segmentation area; the skin color model includes but is not limited to a single gaussian, a mixed gaussian, a bayesian model, an elliptical model, etc.
In some embodiments, when the skin color model is detected as an elliptical model, the skin information is mapped to the YCrCb space, and the skin pixels are approximately distributed in an elliptical manner in the CrCb two-dimensional space. Therefore, if an ellipse of CrCb is detected, next time a coordinate (Cr, Cb) is determined whether it is in the ellipse (including the boundary), if so, it can be determined as skin, otherwise, it is a non-skin pixel.
In some embodiments, the step of segmenting the region includes, but is not limited to, obtaining a likelihood map, performing threshold segmentation, performing image binarization processing, and performing morphology processing.
In some embodiments, the skin tone model is detected using a two-dimensional skin tone model.
In some embodiments, the skin color model employs a k-means clustering algorithm.
In some embodiments, the image is acquired through a camera, and the user turns on a smart mobile terminal, a PAD, or a smart device with a camera to capture a hand-type image. Preferably, to simplify the computational and virtual fitting needs, the back of the hand is preferably photographed. The camera includes but is not limited to a web camera.
Step S101, performing mode classification on the segmentation areas according to a classifier and texture features to obtain a hand shape detection target; in this embodiment, the classifier employs an SVM classifier, a decision tree classifier, and a logistic regression classifier. In this embodiment, the texture features include, but are not limited to, LBP texture features, gray level co-occurrence matrix, Tamura texture analysis, Gabor wavelet-based texture feature extraction, and fourier transform-based texture feature extraction algorithm.
Preferably, in the present embodiment, the classifier includes, but is not limited to, one or more of an SVM classifier and a haar classifier.
Step S102, extracting and calculating feature points in the hand shape detection target; as will be appreciated by those skilled in the art, the hand shape detection target is a palm contour.
Preferably, in this embodiment, the feature points include a convex envelope/concave envelope point of the contour, an extreme point of curvature of the contour, and an extreme point of distance from a point on the contour to the center of the palm. Through the characteristic points, fingertips and finger roots on the outline in the hand-shape detection target can be further identified for subsequent determination of the position relation of the nail cover.
Preferably, in this embodiment, the curvature extremum point is defined as: and if the curvature of the contour at any point A on the contour is simultaneously larger than the curvatures of the adjacent points on the two sides, the point A is the curvature extreme point. The profile curvature refers to the degree of curvature of the profile curve.
As will be clear to a person skilled in the art, the contour convex envelope/concave points refer to concave and convex points on the boundary contour of the binary image.
Preferably, in this embodiment, the distance extremum point from the point on the contour to the palm center is defined as: if the distance from the point to the center point of the palm is larger than the distance from the adjacent points on the two sides to the center of the palm, the point A is the curvature extreme point.
Step S103, identifying fingertips and finger roots on the contour in the hand shape detection target according to the feature points; and finding fingertips and finger roots on the contour in the hand-shaped detection target by the theory of determining a straight line through two points.
Preferably, the fingertip and the finger root can be found by the intersection of the feature points of { contour convex envelope/concave point }, { contour curvature extreme point }, { point on contour to palm center distance extreme point }.
Step S104, positioning the finger tip and the finger root on the full contour to obtain a finger direction line and obtain a finger direction; in this embodiment, the full contour means that, for any one point a on the contour, there is one and only one point B on the contour, and the absolute value of the corresponding difference between the coordinates x and y thereof is not more than 1. Namely | Ax-Bx | < ═ 1& | Ay-By | < ═ 1. Based on the definition of the full outline, a finger direction can be obtained that uniquely determines the relationship.
Step S105, according to the positions of the fingertips and the finger directions, a nail region wearing feature is obtained, according to the wearing feature, the nail region is correspondingly generated into a selected nail type, and an image of wearing nails is obtained.
In some embodiments, the method for obtaining the wearing characteristics of the fingernail region according to the position of the fingertip and the finger direction comprises calculating the length of the fingernail according to the thickness of the fingertip part of the finger and the width-height ratio of the fingernail.
In some embodiments, the thickness dimension of the fingertip portion is obtained using an isosceles triangle method. Specifically, an isosceles triangle takes a fingertip as a vertex, two points with equal distance are found at proper positions on the left side and the right side of the outline, and the length of a connecting line of the two points is regarded as the thickness of the fingertip part.
In some embodiments, nail type may generate corresponding nail worn images as in table 1 below.
TABLE 1
Fig. 2 is a schematic structural diagram of a virtual fitting nail art system according to an embodiment of the present invention.
The virtual fitting nail-beautifying system in the embodiment comprises a fitting customization unit 1, an identification unit 2, a fitting enhancement display unit 3 and a nail-beautifying type database 4,
the fitting customizing unit 1 is used for selecting a nail type to be fitted; alternative fitting nail types include, but are not limited to, nail types of the various styles in table 1.
The identification unit 2 is used for acquiring an image and detecting a skin color model to obtain a segmentation area; performing mode classification on the segmentation region according to the classifier and the texture features to obtain a hand shape detection target; extracting and calculating feature points in the hand shape detection target; identifying fingertips and finger roots on the contour in the hand-shaped detection target according to the characteristic points, and positioning the fingertips and the finger roots on the full contour to obtain a finger direction line and obtain a finger direction; obtaining a nail region wearing characteristic according to the position of the fingertip and the finger direction; nail positioning is carried out through nail identification, and nail style and hand image fusion are carried out in a nail area to achieve virtual fitting of nails.
Optionally, before trying on the nail, a layer of colloid is coated on the nail of the user, after the colloid is dried, the nail is shot by a camera, the nail area is positioned by adopting the identification brightness area, and then the nail area wearing characteristics are obtained through the identification unit 2.
In some embodiments, the nail region wearing characteristics include, but are not limited to, nail location position, orientation, size.
In some embodiments, the method for obtaining the wearing characteristics of the fingernail region according to the position of the fingertip and the finger direction comprises calculating the length of the fingernail according to the thickness of the fingertip part of the finger and the width-height ratio of the fingernail.
In some embodiments, the thickness dimension of the fingertip portion is obtained using an isosceles triangle method. Specifically, an isosceles triangle takes a fingertip as a vertex, two points with equal distance are found at proper positions on the left side and the right side of the outline, and the length of a connecting line of the two points is regarded as the thickness of the fingertip part.
The display unit 3 is used for displaying an image of wearing the nail art; and displaying the image of wearing the nail through a user graphical operation interface and a UI.
The nail-beautifying type database 4 is used for organizing and storing nail-beautifying types;
the identification unit 2 is further configured to request the corresponding nail type in the nail region in the fitting customization unit from the server according to the wearing characteristics, query the nail type database, and respond the matched nail type on the display unit.
In some embodiments, the nail-beautifying type database is connected with a cloud end and used for uploading and backing up nail-beautifying type data.
In some embodiments, the system further comprises an automatic generation unit to make and generate nail types.
Fig. 3 is an effect transformation diagram of virtual try-on.
In this embodiment, when the user tries on the nail in a virtual manner, the palm of the user is shot by the mobile phone camera, the favorite nail style is selected, the finger position of the user can be automatically identified by the system to position the nail area, the appearance that the user takes the preselected nail can be displayed on the mobile phone screen, and therefore the virtual nail trying effect is achieved.
In this embodiment, the system operates according to the following virtual fitting nail art method:
step S100, acquiring an image, and detecting a skin color model to obtain a segmentation area;
step S101, performing mode classification on the segmentation areas according to a classifier and texture features to obtain a hand shape detection target;
step S102, extracting and calculating feature points in the hand shape detection target;
step S103, identifying fingertips and finger roots on the contour in the hand shape detection target according to the feature points;
step S104, positioning the finger tip and the finger root on the full contour to obtain a finger direction line and obtain a finger direction;
step S105, according to the positions of the fingertips and the finger directions, a nail region wearing feature is obtained, according to the wearing feature, the nail region is correspondingly generated into a selected nail type, and an image of wearing nails is obtained. Preferably, to better enable virtual wear, nail zone wear characteristics include, but are not limited to, nail width, length, thickness, position, orientation, and the like.
Those of ordinary skill in the art will understand that: the present invention is not limited to the above embodiments, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A method for virtually trying on nail art, characterized by comprising the following steps:
acquiring a hand back image, and detecting a skin color model of the hand back image to obtain a hand back image segmentation area;
performing mode classification on the segmentation region according to the classifier and the texture features to obtain a hand shape detection target;
extracting and calculating feature points in the hand shape detection target;
identifying fingertips and finger roots on the contour in the hand shape detection target according to the characteristic points;
positioning the finger tip and the finger root on the full contour to obtain a finger direction line and obtain a finger direction;
the full contour means that for any one point A on the contour, there is only one point B on the contour, and the absolute value of the corresponding difference between the coordinates x and y is not more than 1, namely | Ax-Bx | < ═ 1& | Ay-By | < ═ 1, and based on the definition of the full contour, a uniquely determined finger direction can be obtained;
obtaining a nail region wearing feature according to the position of the fingertip and the finger direction, and correspondingly generating a selected nail type according to the nail region wearing feature to obtain an image of wearing nails;
the characteristic points comprise a convex envelope or a concave envelope point of the contour, a curvature extreme point of the contour and a distance extreme point from a point on the contour to the center of the palm, and the fingertip and the finger root on the contour in the hand-shaped detection target are identified through the characteristic points and are used for determining the position relation of the subsequent nail cover;
the curvature extremum point is defined as: if the curvature of the contour at the point is simultaneously larger than the curvatures of the adjacent points at the two sides, the point A is a curvature extreme point, and the curvature of the contour refers to the bending degree of a contour curve;
the contour convex envelope or the concave points refer to concave and convex points on the boundary contour of the binary image;
the distance extremum point from the point on the outline to the palm center is defined as: if the distance from the point to the center point of the palm is greater than the distance from the adjacent points on the two sides to the palm center, the point A is the extreme distance point to the palm center;
according to the thickness of the fingertip part of the finger, the length of the fingernail is calculated through the width-to-height ratio of the fingernail, the thickness of the fingertip part is obtained by using an isosceles triangle method, the isosceles triangle takes the fingertip as a vertex, two points with equal distance between the two sides are found at the left side and the right side of the outline, and the length of the connecting line of the two points is regarded as the thickness of the fingertip part.
2. The method of virtual fitting of manicure as in claim 1, wherein the hand shape detection target is a palm contour.
3. The method of virtual fitting of nails of claim 1, wherein the image is acquired by a camera.
4. The method of virtual fitting of manicure as recited in claim 1, wherein the classifier comprises one or more of a SVM classifier, a haar classifier.
5. A system for virtual fitting of fingernails, characterized in that it is used in the method of claim 1, comprising a fitting customization unit, an identification unit, a fitting enhancement display unit and a fingernail style database,
the fitting customizing unit is used for selecting the nail type to be fitted;
the identification unit is used for acquiring a hand back image and detecting a skin color model of the hand back image to obtain a hand back image segmentation area; performing mode classification on the segmentation region according to the classifier and the texture features to obtain a hand shape detection target; extracting and calculating feature points in the hand shape detection target; identifying fingertips and finger roots on the contour in the hand-shaped detection target according to the characteristic points, and positioning the fingertips and the finger roots on the full contour to obtain a finger direction line and obtain a finger direction; obtaining a nail region wearing characteristic according to the position of the fingertip and the finger direction;
the display unit is used for displaying an image of wearing the nail art;
the nail-beautifying type database is used for organizing and storing nail-beautifying types;
the identification unit is further used for requesting the corresponding nail type in the nail area in the fitting customization unit to a server according to the wearing characteristics, inquiring in the nail type database and responding the matched nail type on the display unit.
6. The system of claim 5, wherein the nail art database is connected to a cloud for uploading and backing up nail art data.
7. The system for virtually fitting nails of claim 5, further comprising an automatic generation unit for creating and generating nail types.
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| CN109147001A (en) * | 2017-06-19 | 2019-01-04 | 亮风台（上海）信息科技有限公司 | A kind of method and apparatus of nail virtual for rendering |
| US10806231B2 (en) * | 2017-07-18 | 2020-10-20 | Casio Computer Co., Ltd. | Drawing apparatus, drawing method, and recording medium storing program |
| CN108447087A (en) * | 2018-02-27 | 2018-08-24 | 方建民 | The method that the article of suitable object size is looked for using object image |
| CN109272519B (en) * | 2018-09-03 | 2021-06-01 | 先临三维科技股份有限公司 | Nail contour determination method and device, storage medium and processor |
| US20200105007A1 (en) * | 2018-09-28 | 2020-04-02 | Mani.Me, Inc. | Apparatus and method for model reconstruction using photogrammetry |
| WO2020140198A1 (en) * | 2019-01-02 | 2020-07-09 | 深圳市邻友通科技发展有限公司 | Fingernail image segmentation method, apparatus and device, and storage medium |
| CN110507061A (en) * | 2019-09-06 | 2019-11-29 | 深圳市丹芽科技有限公司 | Nail beautifying pattern selection method, device, system, electronic equipment and storage medium |
| CN110959978A (en) * | 2019-12-06 | 2020-04-07 | 深圳市丹芽科技有限公司 | Nail beautifying service method, device and system |
| CN111091519B (en) * | 2019-12-20 | 2023-04-28 | 维沃移动通信有限公司 | Image processing method and device |
| JP2021196800A (en) * | 2020-06-12 | 2021-12-27 | キヤノン株式会社 | Program and method for controlling computer |
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| CN114880057A (en) * | 2022-04-22 | 2022-08-09 | 北京三快在线科技有限公司 | Image display method, image display device, terminal, server, and storage medium |
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