JP7128402B2 - Fashion style diagnosis system - Google Patents

Description

The present invention relates to a fashion style diagnosing system that analyzes and provides an optimum fashion style for a customer based on the customer's desired fashion style image and information on the customer's actual features.

In the past, not only so-called apparel styles such as clothing and attire, but also styles related to fashion in general, such as hairstyles and facial makeup (makeup), have been used historically in both the East and West. It goes without saying that it has attracted more people's attention. I will leave the details of the changes in fashion history up to the present day to the results of various researches, and I will omit the explanation here, but it can be said that the way people acquire information about fashion has changed dramatically in recent years. For example, in recent years, not only paper media such as fashion information magazines, but also a large amount of information on fashion style is overflowing on the Internet, and the opportunities for people to come into contact with this information have increased dramatically compared to before. ing.

On the other hand, in recent years, fashion styles have become more and more diversified along with the spread of individual tastes. Coupled with the abundance of information that individuals come into contact with, the style that people want to be is also diversifying. It's getting

However, even if an individual desires to "be", it is not always possible to realize that fashion style. Here, it has been widely known since ancient times that not only hairstyles and facial makeup but also apparel styles are influenced by the individual's "features." Historically, it is a well-known phenomenon that there is a ratio that human beings originally prefer, for example, a ratio represented by the ratio called the golden ratio. From this point of view, since fashion style is based on people's sensibilities, it is also understandable that a person's "features" affect fashion style.

Thus, a person's "feature" influences fashion style, but it is considered difficult for many individuals to recognize how the influence is exerted. In other words, if you can understand the characteristics of your own "feature", you will be able to recognize the style that is "suitable" for that "feature" and expand the range of possible fashion styles. become.

However, in the current situation, it is difficult to recognize in what category the fashion style one "want to be" is classified as. In addition, as described above, it is difficult to objectively grasp the characteristics of one's own "feature", so it is also difficult to recognize a style that is originally thought to "suit". And it is even more difficult to recognize the gap between the fashion style you want to be and the one that suits you. Knowing what the style is is also extremely difficult.

Here, Japanese Patent No. 3529954 (Patent Document 1) discloses a technique relating to a facial feature map for use in makeup effect, and Japanese Patent No. 3614783 (Patent Document 2) discloses a technique relating to a facial feature classification method. However, Japanese Patent No. 3611007 (Patent Document 3) discloses a technique relating to a hairstyle image map, and Japanese Patent No. 3927569 (Patent Document 4) discloses a technique relating to a hairstyle evaluation method. there is Furthermore, Japanese Patent No. 4809056 (Patent Document 5) discloses a technique relating to a facial adjustment method using cheek makeup that is effective for each cheek morphological feature.

In addition, Japanese Patent Application Laid-Open No. 2001-211933 (Patent Document 6) discloses a technique related to a hair counseling method, and Japanese Patent Application Laid-Open No. 7-82604 (Patent Document 7) simply proposes clothing. A furnishings information selection support device is disclosed.

Japanese Patent No. 3529954 Japanese Patent No. 3614783 Japanese Patent No. 3611007 Japanese Patent No. 3927569 Japanese Patent No. 4809056 JP-A-2001-211933 JP-A-7-82604

The techniques described in Patent Literatures 1 to 5 mentioned above are all techniques for diagnosing the customer's face type, but they do not disclose anything about grasping the fashion style desired by the customer. It does not suggest anything about providing the most suitable fashion style for the customer based on the information of the fashion style desired by the customer.

Furthermore, the technique described in Patent Document 6 also does not suggest anything about providing the optimum fashion style for the customer based on the customer's desired fashion style information and the grasped customer information.

SUMMARY OF THE INVENTION The present invention has been made in view of the above-mentioned circumstances. If there is a gap between the acquired fashion style desired by the acquired customer and the acquired fashion style that "suits" the customer's facial features, the memory associates the optimal fashion style category corresponding to the gap pattern. An optimum fashion style image for the customer corresponding to the gap pattern is acquired based on the table data stored in the storage unit, and stored as table data in the storage unit based on the acquired optimum fashion style image. To obtain fashion style image information related to a style element selected by a customer from among optimum fashion style image information related to style elements such as hairstyle, facial makeup, eyebrow, apparel style, etc., and to provide the fashion to the customer. The purpose is to provide a style diagnosis system.

A fashion style diagnosis system according to one aspect of the present invention uses style classification table data in which fashion styles are classified into a plurality of categories, the gap between the image diagnosis result of the customer's desired image and the face image diagnosis result that suits the customer's features. A storage unit having table data storing a plurality of assumed gap patterns and fashion style categories corresponding to the gap patterns in association with each other, and table data storing fashion style image information related to each style element, and presented to an image presentation unit. a desired image information acquisition unit that acquires one collage image from among a plurality of collage images that are visual information related to a fashion style obtained by a customer's selection; and the desired image acquired by the desired image information acquisition unit. Based on the collage image, the fashion style that the customer wants to be is compared with the style classification table data in which the fashion styles are classified into a plurality of categories read from the storage unit, and the customer selects the collage image from the collage image. a desired image diagnosing unit for determining to which category the image related to the desired fashion style is classified in the style classification table data and obtaining an image of the fashion style that the customer desires to be; and an image of the customer's face. and calculating customer's face shape data by measuring a plurality of points based on, classifying the customer's face length ratio into either golden balance or longer than golden balance, and measuring the customer's face A facial information acquisition unit for acquiring information related to the length of the customer's face in addition to the shape data as the customer's facial information; and reading the customer's facial information obtained by the facial information acquisition unit from the storage unit. The customer is compared with style classification table data that classifies fashion styles into a plurality of categories, and determines to which category of the style classification table data the image related to the customer's facial features is classified from the customer's facial information. A face image diagnosis unit that acquires a face image that suits the face of the person, and an image related to the optimal fashion style is analyzed based on the diagnosis result of the desired image diagnosis unit and the diagnosis result of the face image diagnosis unit, and the desired image is obtained. Diagnosis results in the diagnosis section and diagnosis in the face image diagnosis section a plurality of gap patterns assuming a gap between the desired image diagnosis result of the customer's desired image and the face image diagnosis result that suits the customer's features, stored in the storage unit when there is a gap between the result and the customer's image; a fitting analysis unit that acquires an optimal fashion style image for a customer corresponding to the gap pattern of the diagnosis result based on table data in which fashion style categories corresponding to the gap pattern are associated; The customer selects a plurality of fashion-related elements from fashion style image information related to each style element stored as table data in the storage unit based on the fashion style image best suited for the customer obtained by the analysis unit. Optimal image information generating unit for acquiring optimal fashion style image information for the customer regarding style elements; and information provision for providing optimal image information in the style elements selected by the customer acquired in the optimal image information generating unit. and

According to the present invention, a fashion style desired by a customer is acquired, and a fashion style that "suits" the customer's features is acquired from information related to the customer's features. When there is a gap between the fashion style "desired to be" and the fashion style "suitable" for the customer's acquired features, table data stored in a storage unit in which the category of the optimum fashion style corresponding to the gap pattern is associated with each other. and acquires the optimal fashion style image for the customer corresponding to the gap pattern based on the above, and based on the acquired optimal fashion style image, the hairstyle, facial makeup, and eyebrows stored in the storage unit as table data , fashion style image information related to the style element selected by the customer out of the optimum fashion style image information related to the style element such as apparel style can be acquired and provided to the customer.

FIG. 1 is a diagram showing the configuration of a fashion style diagnosis system according to the first embodiment of the present invention. FIG. 2 is a block diagram showing the configuration of the diagnosis device in the fashion style diagnosis system of the first embodiment. FIG. 3 is a block diagram showing the configuration of the facial features information acquisition section in the fashion style diagnosis system of the first embodiment. FIG. 4 is a flow chart showing the flow of counseling in the fashion style diagnosis system of the first embodiment. FIG. 5 is a diagram showing an example of a diagnostic matrix in the fashion style diagnostic system according to the first embodiment. FIG. 6 is a diagram showing an example of a hairstyle according to a customer's "desired image" in the fashion style diagnosis system of the first embodiment. FIG. 7 is a diagram showing an example of a hairstyle related to "image that suits" a customer in the fashion style diagnosis system of the first embodiment. FIG. 8 is a diagram showing an example of an optimum hairstyle for a customer in the fashion style diagnosis system of the first embodiment. FIG. 9 is a diagram showing an example of an eyebrow style according to the customer's "desired image" in the fashion style diagnosis system of the first embodiment. FIG. 10 is a diagram showing an example of an eyebrow style related to the "image that suits the customer" in the fashion style diagnosis system of the first embodiment. FIG. 11 is a diagram showing an example of an optimal eyebrow style for a customer in the fashion style diagnosis system of the first embodiment. FIG. 12 is a flow chart showing the flow of "desired image diagnosis" counseling in the fashion style diagnosis system according to the second embodiment of the present invention. FIG. 13 is a flow chart showing a case of measuring the shape of the face in the "face image diagnosis" counseling in the fashion style diagnosis system according to the third embodiment of the present invention. FIG. 14 is a flow chart showing a case where the face shape is not measured in the "face image diagnosis" counseling in the fashion style diagnosis system according to the third embodiment of the present invention.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the drawings.

<First embodiment>
FIG. 1 is a diagram showing the configuration of a fashion style diagnosis system according to the first embodiment of the present invention, and FIG. 2 is a block diagram showing the configuration of a diagnosis device in the fashion style diagnosis system of the first embodiment. is.

As shown in FIG. 1, a fashion style diagnostic system 1 according to the first embodiment of the present invention includes a diagnostic device 2, which is a terminal device for a user who uses the system, and a public communication network for the diagnostic device 2. and a server 4 connected via a certain Internet 3 .

The Internet 3 is a public communication network, so-called Internet network, to which the diagnosis device 2 as a terminal device and the server 4 are connected via a communication line. If the diagnosis device 2 is operated within a narrow area, the Internet 3 may be replaced with a LAN, for example. The Internet 3 may be connected by wired communication such as a so-called optical fiber communication network, or may be connected by a wireless communication network.

In the present embodiment, the diagnostic device 2 is assumed to be a so-called tablet terminal device, and it is assumed that it has the functions that this type of device normally has, is operated by a predetermined program, can be connected to the Internet 3 described above, and can be connected to the Internet 3 described above. shall be provided with a storage unit of

In the present embodiment, the diagnostic device 2 is assumed to be a tablet terminal device, but is not limited to this, and may be composed of, for example, a smartphone, another type of wearable terminal, a notebook personal computer (PC), or the like. good too. It is a device that operates at least based on the operation of a user (customer and/or store clerk) and can communicate with the server 4 or the like via the Internet 3 .

Also, the diagnostic device 2 is a device that can be always carried by the user, but is not limited to this, and is a concept that includes all electronic devices such as a stationary PC.

The diagnostic device 2 may download a predetermined program via the Internet 3, or may be installed with package software sold at a store, for example. In this case, a device that does not perform communication via the Internet 3 may be used.

As shown in FIG. 2 , the diagnosis device 2 includes a desired image information acquisition unit 21, a desired image diagnosis unit 22, a feature information acquisition unit 23, a face image diagnosis unit 24, a fitting analysis unit 25, a beauty fitter image information generation unit 26, It has an information providing unit 27 .

In addition, each component mentioned above is not restricted to what is included in the said diagnostic apparatus 2 entirely, You may be comprised so that the function of the one part may be implemented by another external apparatus. In this case, the external device having the partial functions and the diagnostic device 2 may be configured to cooperate via the Internet 3, for example.

The desired image information acquisition unit 21 acquires information related to the fashion style image that the customer wants to be.

Specifically, the desired image information acquisition unit 21 selects one of a plurality of pieces of visual information related to the fashion style set in advance, thereby acquiring information related to the image of the fashion style that the customer desires to become. get.

More specifically, the “desired image information acquiring unit 21” in this embodiment has a collage image presenting unit that presents a plurality of types of collage images, which are collections of images, and presents the collage images to the customer. Here, this collage image means a collection of images that represent a plurality of different forms and that make the viewer associate them with the same kind of fashion style. The desired image information acquiring unit 21 sends the information of the collage image selected by the customer to the desired image diagnosis unit 22 in the subsequent stage.

The desired image diagnosing unit 22 compares the desired image obtained by the desired image information obtaining unit 21 and a diagnostic matrix table (beauty fitter matrix, hereinafter referred to as a BF matrix; see FIG. 5), which is a preset style classification index. ) and the image of the fashion style that the customer wants to be (or the image of the fashion style that the customer potentially wants to be) is diagnosed.

As shown in FIG. 5, the BF matrix is an index obtained by classifying fashion style images into a plurality of categories in a matrix along a plurality of index axes. ing. The storage unit for storing this BF matrix may be included in the diagnostic device 2 or may be configured as a predetermined storage medium connectable to the diagnostic device 2 . Alternatively, it may be configured such that it is stored in another device such as the server 4 via the Internet 3 .

In this embodiment, for example, a table in which fashion style images are classified into eight categories along three index axes is used as the BF matrix. In this classification, a plurality of categories representing fashion style images, such as "elegant", "cool", etc., are sifted into separate categories according to the unique theory devised by the present applicant. The example shown in FIG. 5 shows a matrix table in which “elegant” and “cool”, which are examples of fashion style images, are arranged at positions forming opposite images along a predetermined index axis.

Note that this classification is not limited to classification of eight categories, but may be classification of more image elements, and more or fewer index axes may be used. In addition, the portion classified as "one area" in FIG. 5 (for example, the area classified as "elegant" in FIG. 5) may be further classified in detail based on another index (in this case , "soft elegant" based on another index may be added as a minor classification to the "elegant").

As described above, the diagnosis in the desired image diagnosis unit 22 is made based on the acquisition result of the desired image information acquisition unit 21 . For example, assume that a customer selects a collage image from among a plurality of collage images presented by the collage image presenting unit. Based on the selected collage image, the desired image diagnosing unit 22 identifies the style that the customer desires to be by referring to the BF matrix. For example, from the collage images selected by the customer, it is determined that the image related to the fashion style that the customer wants is in the category classified into, for example, "elegant."

Also, the facial feature information acquiring unit 23 acquires information related to the face shape of the customer (a specific example of the information related to the facial shape will be described later), and acquires actual facial feature information of the customer.

Here, as shown in FIG. 3, the facial features information acquisition unit 23 in this embodiment has a facial feature element classification unit 34 in addition to a facial shape measurement unit 31, a facial shape data calculation unit 32, and a facial features information output unit 33.

The face shape measurement unit 31 measures a plurality of points on the customer's face to measure the face shape of the customer. Specifically, for example, a captured image of the customer's face captured by a camera or the like incorporated in the diagnostic device 2 is acquired, and based on the captured image, a plurality of points related to the customer are measured to obtain the customer's face. Obtain shape data.

Further, the face shape measurement unit 31 may be provided with captured image data of the customer's own face, measure a plurality of points related to the customer based on the captured image, and obtain data related to the face shape. The picked-up image data provided by the customer may be provided via the Internet 3, or may be provided via a predetermined storage medium.

The face shape data calculation unit 32 calculates face shape data of the customer based on the measurement results obtained by the face shape measurement unit 31 . A known calculation method is used to calculate the data related to the face shape. Although this calculation function is provided in the diagnostic device 2 in this embodiment, it is not limited to this, and a form of obtaining the result calculated by another calculation device via the Internet 3 may be adopted.

The facial feature information output unit 33 outputs facial feature information of the customer based on the facial shape data of the customer calculated by the facial shape data calculation unit 32 to the subsequent face image diagnosis unit 24 .

On the other hand, the feature information acquisition unit 23 of this embodiment includes a facial feature element classification unit 34 . This facial feature element classifying unit 34 classifies the feature elements for each of a plurality of locations on the customer's face.

Specifically, for example, regarding the feature element "ratio of the length of the customer's face", a store clerk visually determines the customer's face and inputs the determination result to the face feature element classification unit 34. . More specifically, the clerk visually recognizes the customer's face in the store, and determines whether the "ratio of the length of the customer's face" can be classified as the golden balance or longer than the balance ratio. Then, the determination result is input by operating the touch panel on the diagnostic device 2, which is a tablet terminal. By this operation, the facial feature element classifying section 34 in the feature information acquiring section 23 acquires the determination result.

Then, the facial feature information output unit 33 adds the facial shape data of the customer calculated by the facial shape data calculation unit 32 to the classified facial feature elements acquired by the facial feature element classification unit 34 (in this case, the customer face length) is output to the face image diagnosis unit 24 as the customer's feature information.

The face image diagnosis unit 24 performs diagnosis similar to the above-described diagnosis matrix table (BF matrix; see FIG. 5), which is a preset style classification index, and the customer's facial features information acquired by the facial features information acquisition unit 23. Diagnose a face image that suits the customer's facial features based on the matrix table for use.

The BF matrix is also an index obtained by classifying fashion styles into a matrix along a plurality of index axes, and the data is stored in advance in a predetermined storage unit. This storage unit may also be included in the diagnostic device 2 as described above, or may be a predetermined storage medium connectable to the diagnostic device 2 . Furthermore, the data may be stored in another device such as the server 4 via the Internet 3 .

Specifically, it is assumed that, for example, data relating to the customer's face shape is obtained from the acquisition result of the facial features information acquisition unit 23 . The face image diagnosis unit 24 identifies the facial features of the customer from the obtained data relating to the facial shape of the customer by comparing them with the BF matrix (see FIG. 5). For example, based on the customer's face shape data, it is determined that the image of the customer's facial features is in the "cool" category.

In the present embodiment, the desired-to-be-image diagnostic unit 22 and the face-image diagnostic unit 24 use the same diagnostic matrix table as the BF matrix. A different diagnostic matrix table may be set for the face image diagnostic unit 24 .

The fitting analysis unit 25 analyzes the customer's ideal fashion style image based on the diagnosis result of the desired image diagnosis unit 22 and the diagnosis result of the face image diagnosis unit 24 .

Specifically, the result of diagnosis by the desired image diagnosis unit 22 is, as described above, a category classified into "elegant" (see FIG. 5), while the result of diagnosis by the face image diagnosis unit 24 is Assume that the category is classified as "cool" as described above. In this case, the fitting analysis unit 25 recognizes this gap, that is, the gap between "elegant" and "cool", and when this pattern gap occurs, the fitting analysis unit 25 finds the optimal fashion style image for the customer. analyze what is

More specifically, the fitting analysis unit 25 has a storage unit that stores table data in which various gap patterns and optimal categories corresponding to the gap patterns are associated and stored. Based on the table data stored in the storage unit, the fitting analysis unit 25 determines the optimum category corresponding to the gap pattern (in this case, “elegant”, “cool” and gap), that is, the customer Seeking the best fashion style image for

The storage unit for storing this table data may be included in the diagnostic device 2 or may be configured as a predetermined storage medium connectable to the diagnostic device 2 . Alternatively, it may be configured such that it is stored in another device such as the server 4 via the Internet 3 .

The beauty fitter image information generation unit 26 generates a plurality of style elements related to fashion, such as hairstyle, facial makeup, eyebrow, apparel style, etc., based on the customer's optimum fashion style image obtained by the fitting analysis unit 25 To generate fashion style image information optimum for a customer regarding a style element selected by the customer among nail styles and the like.

In this embodiment, the optimum fashion style image information related to each style element is stored as predetermined table data in a predetermined storage section in the diagnosis device 2. FIG. The storage unit for storing this table data may be included in the diagnostic device 2 as described above, or may be configured as a predetermined storage medium connectable to the diagnostic device 2 . Alternatively, it may be configured such that it is stored in another device such as the server 4 via the Internet 3 .

Hereinafter, the function of the beauty fitter image information generating section 26 will be specifically described by taking a hairstyle and an eyebrow as examples of fashion style elements.

<When a hairstyle is selected>
Assume that the customer has selected a hairstyle as the fashion style element for which diagnosis is desired. In addition, the image of the hairstyle that the customer wants to have is classified as "elegant" (see FIG. 6), and the image of the hairstyle that suits the customer is classified as "cool." (see FIG. 7).

At this time, the beauty fitter image information generation unit 26 generates the “best fashion style image for the customer”, which is the result of the analysis by the fitting analysis unit 25. Specific hairstyle data when applying this optimum fashion style image to the hairstyle is obtained from the table data described above, based on the information related to the appropriate fashion style image.

FIG. 8 is a diagram showing an example of an optimum hairstyle for a customer in the fashion style diagnosis system of this embodiment. In other words, the fashion style diagnosis system of this embodiment provides an image as shown in FIG. and propose to customers.

The information providing unit 27 provides the customer with the optimum fashion style image information related to the style element (in this case, hairstyle) selected by the customer, generated by the beauty fitter image information generating unit 26 .

<When eyebrow is selected>
On the other hand, it is assumed that the customer next selects the eyebrow style as the fashion style element for which diagnosis is desired. In addition, the image of the eyebrow that the customer wants is classified as "elegant" (see FIG. 9), and the image of the eyebrow that suits the customer is classified as "cool" (see FIG. 9). 10).

At this time, the beauty fitter image information generation unit 26 selects the result of analysis by the fitting analysis unit 25 as in the case of the hairstyle described above, which is the "best fashion style image for the customer", in this case, "elegant". Based on the information related to the optimum fashion style image corresponding to the gap between "cool" and "cool", specific eyebrow data when applying this optimum fashion style image to the eyebrow style are obtained from the table data described above.

FIG. 11 is a diagram showing an example of the optimum eyebrow style for the customer in the fashion style diagnosis system of this embodiment. That is, the fashion style diagnosis system of this embodiment provides an image as shown in FIG. 11 as an optimal eyebrow style image corresponding to the gap between the image of "elegant" that the customer wants to be and the image of "cool" that suits the customer. and propose to customers.

The information providing unit 27 provides the customer with the optimum fashion style image information related to the style element (eyebrow style in this case) selected by the customer, generated by the beauty fitter image information generating unit 26 .

The operation of the fashion style diagnostic system 1 including the diagnostic device 2 configured as described above will be described with reference to the flowchart shown in FIG.

As shown in FIG. 12, first, a store clerk operates a diagnostic device 2, which is a tablet terminal device, to perform beauty fitter counseling (“beauty fitter” is a galdy. company's registered trademark).

First, the desired image information acquisition unit 21 in the diagnostic device 2 acquires information related to the fashion style image that the customer wants to be, for example, by selecting the collage image as described above (step S101).

Next, the desired image diagnosing unit 22 determines the fashion style that the customer potentially “want to be” based on the desired image acquired by the desired image information acquisition unit 21 and a BF matrix (beauty fitter matrix). Such images are diagnosed (step S102).

After that, the facial information acquisition unit 23 acquires information related to the customer's facial shape (step S103), and then the face image diagnosis unit 24 acquires the customer's facial information acquired by the facial information acquisition unit 23 and preset Based on the BF matrix, which is the style classification index thus obtained, a face image that suits the customer's features is diagnosed (step S104).

Here, in this embodiment, the customer is individually provided with the diagnosis result of the desired image diagnosis unit 22 and the diagnosis result of the face image diagnosis unit 24 (step S105).

Next, the fitting analysis unit 25 analyzes and obtains the optimum fashion style image for the customer as described above, based on the diagnosis result of the desired image diagnosis unit 22 and the diagnosis result of the face image diagnosis unit 24 (step S106). ).

After that, the beauty fitter image information generation unit 26 generates a plurality of style elements related to fashion, such as hairstyle, facial makeup, eyebrow, apparel style, etc., based on the customer's optimum fashion style image obtained by the fitting analysis unit 25 The fashion style image information most suitable for the customer is generated with respect to the style elements selected by the customer from among the nail styles, etc., and then the information provision unit 27 transmits the style selected by the customer, which is generated by the beauty fitter image information generation unit 26. Optimal fashion style image information regarding elements (eg, hairstyle) is provided to the customer (step S107).

As described above, according to the fashion style diagnosis system of the first embodiment, it is possible to objectively grasp the fashion style desired by a customer, acquire information about the customer's facial features, and Objectively grasp the fashion style that "suits" the customer, and based on objective information on the fashion style that the customer wants to be and the fashion style that "suits" the customer, the optimal fashion style for the customer It is possible to provide a fashion style diagnostic system that analyzes fashion styles and provides the results to customers.

It should be noted that the diagnosis of the desired image itself has the following effects. In other words, this "diagnosis of the desired image" visualizes the image of the customer's fashion style image that the customer wishes to become. and provide useful information for customers.

On the other hand, face image diagnosis, that is, diagnosis of an image that suits the customer, also has the following effects. In other words, "face image diagnosis" visualizes the "image that suits" the customer's actual features. and provide useful information to customers.

In addition, as described above, the fashion style diagnosis system of the first embodiment provides "diagnosis of the desired image," "diagnosis of the image that suits you (face image diagnosis)," "analysis of the optimum fashion style for the customer," and the like. Although the processing of (1) is performed only by each element in the diagnostic device 2 (or by substituting part of it for another device), the technical idea of the present invention is not limited to this. That is, the technology of the present invention may adopt a form in which an external "web application" is used for part of the above-described processing. For example, it may use information or services provided by an external "web application" via a so-called "web API".

Furthermore, the technology of the present invention can perform the above-mentioned "diagnosis of desired image", "diagnosis of image that suits you (face image diagnosis)", and "analysis of optimal fashion style for customers", etc., using a tablet terminal or the like. It may be realized by running application software called an "application" installed in the diagnostic device 2 installed.

<Second and Third Embodiments>
Next, a second embodiment and a third embodiment of the present invention will be described.

In the above-described first embodiment, as shown in FIG. 4, the desired image of the customer is diagnosed by the desired image diagnosing unit 22 (step S102), and the face image of the customer is diagnosed by the face image diagnosing unit 24 (step S104). and, based on the diagnosis results of both, analyze and provide the most suitable fashion style image for the customer (steps S106, S107). , and the diagnosis of the customer's face image by the face image diagnosis unit 24 (step S104) may be made individually and the results thereof may be provided to the customer.

The fashion style diagnosis system of the second embodiment is an embodiment specialized for this "ideal image diagnosis" counseling, and the fashion style diagnosis system of the third embodiment is an embodiment specialized for "face image diagnosis" counseling. Embodiment.

<Second embodiment>
The fashion style diagnostic system according to the second embodiment of the present invention has the same configuration as the fashion style diagnostic system according to the first embodiment, and includes a diagnostic device 2 as shown in FIG. It specializes in image diagnosis counseling.

FIG. 12 is a flow chart showing the flow of "desired image diagnosis" counseling in the fashion style diagnosis system of the second embodiment.

As shown in FIG. 12, in the fashion style diagnostic system of the second embodiment, as in the first embodiment, the desired image information acquisition unit 21 in the diagnostic device 2 first selects a collage image as described above. As a result, information relating to the fashion style image that the customer wants to become is acquired (step S201).

Next, the desired image diagnosing unit 22 determines the fashion style that the customer potentially “want to be” based on the desired image acquired by the desired image information acquisition unit 21 and a BF matrix (beauty fitter matrix). Such images are diagnosed (step S202).

After that, the diagnosis apparatus 2 in the second embodiment provides the customer with the diagnosis result of the desired image diagnosis unit 22 (step S203).

In this way, the fashion style diagnosis system of the second embodiment makes it possible to diagnose only the desired image and provide the customer with the diagnosis results. This diagnosis of the desired image is also common to the fashion style diagnosis system of the first embodiment. can reveal the latent "desired image" that even the customer is unaware of, and can provide useful information to the customer.

<Third Embodiment>
The fashion style diagnosis system according to the third embodiment of the present invention has the same configuration as the fashion style diagnosis system according to the first embodiment, and includes a diagnosis device 2 as shown in FIG. It specializes in image diagnosis counseling.

FIG. 13 is a flow chart showing the case of measuring the face shape in the "face image diagnosis" counseling in the fashion style diagnosis system of the third embodiment, and FIG. , and a flow chart showing a case where the face shape is not measured.

First, the case of measuring the shape of the face will be described.
When the "face image diagnosis" counseling is started, the facial feature information acquiring unit 23 in the diagnostic device 2 first measures a plurality of points on the customer's face in the face shape measuring unit 31 shown in FIG. The shape is measured (step S301). Specifically, a captured image of the customer's face captured by a camera or the like incorporated in the diagnostic device 2 is acquired, and based on the captured image, a plurality of points related to the customer are measured to determine the shape of the customer's face. Obtain relevant data.

Next, the face shape data calculation unit 32 in the facial features information acquisition unit 23 calculates face shape data of the customer based on the measurement results obtained by the face shape measurement unit 31 (step S302). A known calculation method is used to calculate the data related to the face shape. This calculation function may be implemented in the face shape data calculation unit 32, or may take a form of obtaining the result calculated by another calculation device via the Internet 3. FIG.

Thereafter, the facial feature information output section 33 outputs facial feature information of the customer based on the facial shape data of the customer calculated by the facial shape data calculation section 32 to the subsequent face image diagnosis section 24 .

The face image diagnosis unit 24 obtains the customer's facial information obtained by the facial information obtaining unit 23 (facial information based on the customer's facial shape data) and a preset beauty fitter matrix (BF matrix; see FIG. 9). ), and a face image that suits the customer's facial features is diagnosed (step S303).

Specifically, the face image diagnosis unit 24 compares the customer's facial features with the beauty fitter matrix from the obtained data regarding the customer's facial shape, and based on the result, the image of the customer's facial features, That is, it is determined that the "image that suits the customer" is in the category of, for example, "cool".

After that, the diagnosis device 2 outputs the diagnosis result of the face image diagnosis unit 24, for example, in the above case, the diagnosis result that the image that suits the customer is classified as "cool" based on the customer's facial information. It is provided to the customer (step S304).

Furthermore, in the present embodiment, variation information based on the customer's image of suitability is provided (step S305). For example, if the image that suits the customer is categorized as "cool", the image that has a wider range while maintaining this "cool" image will be presented to the customer along with the specific image. provide to

Next, a case where the face shape is not measured will be described.
When the "face image diagnosis" counseling is started, the facial feature element classification unit 34 in the facial feature information acquisition unit 23 classifies the feature elements for each of a plurality of locations on the customer's face (step S401).

Specifically, for example, the length of a customer's face can be classified into long, normal, and short. The classification unit 34 acquires the determination result by operating the touch panel on the diagnostic device 2, which is a tablet terminal.

Then, the facial feature information output unit 33 converts the classified facial feature elements (in this case, information related to the length of the customer's face) acquired by the facial feature element classifying unit 34 to facial feature information of the customer. Output to the image diagnosis unit 24 . When the face shape is measured as described above, the facial feature information output unit 33 outputs information related to the facial characteristic elements to the face image diagnosis unit 24 together with the data of the measured face shape. The subsequent diagnosis in the face image diagnosis section 24 is the same as described above.

The face image diagnosis unit 24 obtains the customer's facial information acquired by the facial information acquisition unit 23 (facial information based on the classification of the characteristic elements of the customer's face, or information obtained by adding the above-described facial shape data to this); Based on a preset beauty fitter matrix (BF matrix; see FIG. 5), a face image that suits the customer's features is diagnosed in the same manner as described above (step S402).

Specifically, the face image diagnosis unit 24 determines the facial features of the customer from the obtained facial feature information based on the classification of the characteristic elements of the customer's face or from the information obtained by adding the above-described facial shape data to the facial feature information. The matrix is compared, and based on the results, it is determined that the image of the customer's features, that is, the image that suits the customer is in the category of, for example, "cool."

After that, the diagnosis device 2 outputs the diagnosis result of the face image diagnosis unit 24, for example, in the above case, the diagnosis result that the image that suits the customer is classified as "cool" based on the customer's facial information. It is provided to the customer (step S403).

Furthermore, even if this face shape is not measured, in this embodiment, variation information based on this customer's image of suitability is provided (step S404).

As described above, the fashion style diagnosis system of the third embodiment identifies the customer's face image based on the measurement data of the customer's face shape or the classification information of the feature elements related to the customer's face, thereby identifying the customer's face image. It is possible to diagnose the "image that suits you" and provide the diagnosis result to the customer.

This face image, that is, the diagnosis of the image that suits the customer, is common to the fashion style diagnosis system of the first embodiment, and visualizes the "image that suits" the customer's actual features. At that time, it is possible to actualize the "image that suits you", which is difficult for the customer to recognize by himself, and to provide useful information to the customer.

The present invention is not limited to the above-described embodiments, and various modifications and alterations are possible without departing from the gist of the present invention.

1: Fashion style diagnosis system 2: Diagnosis device 3: Internet 4: Server 21: Desired image information acquisition unit 22: Desired image diagnosis unit 23: Facial information acquisition unit 24: Face image diagnosis unit 25: Fitting analysis unit 26: Beauty fitter Image information generation unit 27: information provision unit 31: face shape measurement unit 32: face shape data calculation unit 33: facial information output unit 34: facial feature element classification unit

Claims (2)

Style classification table data that classifies fashion styles into multiple categories, multiple gap patterns assuming gaps between the results of diagnosis of the desired image that the customer wants to be and the result of diagnosis of the face image that suits the customer's features, and corresponding gap patterns a storage unit having table data storing fashion style categories associated with each other and table data storing fashion style image information related to each style element;
Acquiring one collage image from a plurality of collage images, which are visual information related to fashion style presented by the image presentation unit, according to the customer's selection; a desired image information acquisition unit;
Based on the collage image of the desired image acquired by the desired image information acquisition unit, the fashion style that the customer wants to be is read out from the storage unit and converted into style classification table data in which the fashion styles are classified into a plurality of categories. By comparing the collage images selected by the customer, it is determined in which category of the style classification table data the image related to the fashion style desired by the customer is classified, and the image of the fashion style desired by the customer is obtained. do, The image diagnostic department that you want to be,
Based on the image of the customer's face, multiple points are measured to calculate the customer's face shape data, and the length ratio of the customer's face is classified as either golden balance or longer than golden balance. , acquiring information related to the length of the customer's face in addition to the customer's face shape data as the customer's facial feature information; a facial information acquisition unit;
The customer's facial information obtained by the facial information acquisition unit is compared with style classification table data in which the fashion styles read out from the storage unit are classified into a plurality of categories, and the customer's facial information is related to the customer's facial features from the customer's facial information. Determining which category the image is classified in the style classification table data to acquire a face image that suits the customer's facial features;a face image diagnosis unit;
Based on the diagnosis result of the desired image diagnosis unit and the diagnosis result of the face image diagnosis unitWhen there is a gap between the diagnosis result of the desired image diagnosis part and the diagnosis result of the face image diagnosis part by analyzing the image related to the optimum fashion style, the image that the customer wants to be stored in the storage part. Based on table data in which a plurality of gap patterns assuming a gap between a desired image diagnosis result and a face image diagnosis result that suits the customer's features and fashion style categories corresponding to the gap patterns are associated, the diagnosis result is obtained. Acquiring the best fashion style image for customers corresponding to the gap pattern ofa fitting analysis department;
Based on the customer's optimal fashion style image obtained by the fitting analysis department,obtaining optimal fashion style image information for the customer regarding the style element selected by the customer from among the plurality of fashion elements, from the fashion style image information regarding each style element stored in the storage unit as table data;an optimal image information generator;
an information providing unit for providing the optimum image information for the style element selected by the customer, obtained by the optimum image information generating unit;
A fashion style diagnosis system comprising: 2. The fashion style diagnosis system according to claim 1, wherein each style element stored in said storage unit is hairstyle, facial makeup, eyebrow, apparel style, and nail style.

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