KR101949770B1 - Method for estimating body shape information for recommending personalized clothing and a system therefor - Google Patents

Abstract

According to an embodiment of the present invention, a method for estimating body shape information for recommending personalized clothing is provided. The method for estimating body shape information comprises the steps of: capturing an original picture and a scale reference of clothing and producing an initial image; recognizing the scale reference, adjusting the initial image based on the scale reference and producing an adjusted image; displaying, on the display, a measurement tool for measuring a plurality of measurement reference points and a size of the clothing displayed in the adjusted image and an image of clothing within the adjusted image; detecting a distance between the measurement reference points at which the measurement tool is located among the plurality of measurement reference points; and estimating size information of the clothing by repeating the step of detecting the distance for n times.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for estimating body shape information for recommending a personalized clothing,

The present invention relates to a method for estimating body shape information for recommending personalized clothing and a system therefor.

In recent years, interest in fashion has increased and information about clothing has been actively being made online.

The clothing market is becoming more and more complicated and the individual's personalities are being developed. The tendency to solve these needs through internet purchasing is the mainstream. However, There is a problem in that it is difficult to purchase the clothes of the optimum size by taking advantage of the personality of the customer in the present situation in which to purchase.

Korean Registered Patent No. 10-1760720

It is an object of the present invention to provide a method and system that can easily increase the efficiency of recommendation of an apparel product by easily reflecting needs of an individual product.

An embodiment includes the steps of photographing an original image and a scale reference of a garment to produce an original image; Recognizing the scale reference and adjusting the initial image based on the scale reference to produce an adjusted image; Displaying on the display a measurement tool for measuring a plurality of measurement reference points and a size of the garment displayed in the garment image within the adjusted image and the adjusted image; Detecting a distance among the plurality of measurement reference points between the measurement reference points at which the measurement tool is located; And estimating size information of the garment by repeating the step of detecting the distance n times. The method may further include estimating body information for recommending a customized garment.

In another aspect, there is provided a method of estimating body composition information for a customized garment recommendation, further comprising displaying on the display a garment recommendation item that matches the body shape of the user based on the estimated size information of the garment have.

In another aspect, the scale reference may include a reference rectangle in the original image, and the recognition of the scale reference may be a recognition of the reference rectangle.

In another aspect, the scale reference may be a credit card, and the four corners of the reference square, which is the credit card, may be rounded, to provide a method for estimating body shape information for a customized garment recommendation.

In yet another aspect, the step of detecting a distance between the measurement reference points of the plurality of measurement reference points, wherein the measurement tool is located, enlarges the scale reference in response to a touch input that scales the scale reference to a predetermined first size ; Displaying first and second reference reference points on each of two corners of an enlarged scale reference; Positioning the first reference reference point at any one of the plurality of measurement reference points and positioning the second reference reference point at the other one of the plurality of measurement reference points; And detecting an enlargement ratio of the scale reference and a distance between the first reference reference point and the second reference reference point.

In yet another aspect, the step of detecting the distance between the measurement reference points of the plurality of measurement reference points on which the measurement tool is located comprises: receiving a touch input that scales the scale reference to a second predetermined size; Displaying a partial area of the magnified scale reference including one corner area of the magnified scale reference; Moving the corner region in response to a touch input for moving the corner region so that first and second points in the curve representing the corner region meet the garment image; And detecting a circumference of a specific region on the garment image based on a contact point of two measurement reference points adjacent to the corner region and an area of a fan-shaped figure formed by the first and second points. Lt; RTI ID = 0.0 > information < / RTI >

In yet another aspect, detecting record information in the scale reference; Encrypting at least some of the detected recording information; And generating a billing page for decrypting the record information in response to an input for purchasing at least one item of the clothing recommendation product to be displayed so that the user can purchase the item with the credit card. Lt; RTI ID = 0.0 > information < / RTI >

According to another aspect of the present invention, there is provided a method for estimating body information for recommending a personalized clothing, characterized in that the information other than the type information of the credit card is encrypted in the detected recording information.

According to another aspect of the present invention, there is provided a method for searching for a shopping mall providing benefits associated with the credit card on the basis of the credit card type information and searching for the clothing recommendation item in the retrieved shopping mall . ≪ / RTI >

In another aspect, a non-transitory computer readable medium storing instructions for performing the steps described above may be provided.

The embodiment according to the present invention can provide a method and system for estimating an individual's body shape and recommending an apparel article suitable for an individual's body shape.

In addition, embodiments of the present invention can provide a method and a system that can easily increase the efficiency of recommendation of an apparel product by easily reflecting needs of an individual product.

In addition, the embodiment according to the present invention can improve the accuracy of measuring the size of clothes by aligning the position of the photographed clothing image by correcting the initial image using the scale reference.

Further, the embodiment according to the present invention makes it possible to purchase clothes items more conveniently based on the record information in the credit card as scale reference.

In addition, the embodiment of the present invention can easily reflect the user's needs for various benefits associated with purchase of goods according to the photographing position of the credit card as the scale reference.

1 shows an embodiment of an environment of a system for estimating body shape information for a customized garment recommendation.
Figure 2 is a raw image of the garment best suited to the user's body with a scale reference provided by the reference rectangle in the initial image, and the reference rectangle may be represented by a non-square rectangle due to the direction in which the image was captured.
Figure 3 is a tuned image of the garment with an exemplary line measuring tool generated by applying a perspective rectangle and a reference rectangle and a hardware rectangle shown as a true rectangle through application of perspective correction and applying a perspective correction. It also shows the measurement line ending at the measurement reference position on the adjusted image.
Figure 4 shows the change of the shape or position of the scale reference as the magnification and rotation of the scale reference and the creation of the reference reference point and the enlargement of the corner area.
Figure 5 shows a plurality of measurement reference points on the adjusted image and the adjusted image and reference reference points on the scale reference and scale reference.
Figure 6 shows that the reference reference point on the enlarged scale reference matches the measurement reference point.
Figure 7 shows that the reference reference point on the rotated scale reference matches the measurement reference point.
Figure 8 shows that enlargement of the scale reference causes some areas of the scale reference including corner areas to be displayed with the adjusted image.
Figure 9 shows a method of measuring the perimeter of a color in a garment image within an adjusted image.
10 shows an example of a credit card including recording information.
Figure 11 shows a flow diagram of one implementation of a method for estimating garment size and recommending garment goods according to estimated information.
12 is an exemplary block diagram of a computer system, which means a personal terminal, a clothing size estimation server, and a shopping mall server, respectively, constituting a system for implementing a method for estimating body shape information for recommending a personalized garment.

BRIEF DESCRIPTION OF THE DRAWINGS The present invention is capable of various modifications and various embodiments, and specific embodiments are illustrated in the drawings and described in detail in the detailed description. The effects and features of the present invention and methods of achieving them will be apparent with reference to the embodiments described in detail below with reference to the drawings. However, the present invention is not limited to the embodiments described below, but may be implemented in various forms. In the following embodiments, the terms first, second, and the like are used for the purpose of distinguishing one element from another element, not the limitative meaning. Also, the singular expressions include plural expressions unless the context clearly dictates otherwise. Also, the terms include, including, etc. mean that there is a feature, or element, recited in the specification and does not preclude the possibility that one or more other features or components may be added. Also, in the drawings, for convenience of explanation, the components may be exaggerated or reduced in size. For example, the size and thickness of each component shown in the drawings are arbitrarily shown for convenience of explanation, and thus the present invention is not necessarily limited to those shown in the drawings.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings, wherein like reference numerals refer to like or corresponding components throughout the drawings, and a duplicate description thereof will be omitted .

System Flow: The disclosed technique relates to providing a method for estimating body shape information for a customized garment recommendation.

Computer System: A simplified summary is provided to assist in enabling a basic or general understanding of the various aspects of an exemplary, non-limiting implementation that follows the more detailed description and the accompanying drawings. However, this summary is not intended to be a comprehensive or comprehensive overview. Instead, the sole purpose of this summary is to present some concepts related to some exemplary non-limiting implementations in a simplified form as a prelude to the more detailed description of the various embodiments that follow.

Regulation: One aspect of this technique is that demanding individuals to provide their own body measurements in order to recommend a customized garment to personal body information is a major hurdle for apparel retailers who want to recommend customized garments. Many people do not want to spend time or nerve to make the necessary measurements. Some people can not physically perform all the actual measurements needed to measure clothes. Also, measurements provided by individuals for various reasons, including improper placement of the measuring device and improper tension of the measuring device, may not be accurate. In particular, measurements of the body shape such as the buttocks area may result in different readings from each measurement.

The present invention solves this problem by recognizing that most people, even if not everyone, owns at least one garment suitable for their body shape. For example, a shirt is very suitable. The present invention may be embodied by reference to sometimes a favorite garment or a shirt suitable for its body shape. It should be understood, however, that the invention is not limited to shirts, but can be applied to various kinds of clothing articles, such as pants, jackets, jackets, sweaters, T-shirts, polo shirts and dresses.

Another aspect of the present technique is that the service provider providing the customized garment may have (1) an image of the article of clothing and (2) scale reference information as information necessary to recommend a garment product having a suitability based on the desired article garment . The scale references here may not only provide dimension information, but may also apply perspective correction to user generated images.

Other aspects and advantages of the disclosed technique can be seen by reviewing the drawings, the description and the claims.

1 shows an embodiment of an environment of a system for estimating body shape information for a customized garment recommendation. Figure 2 is a raw image of the garment best suited to the user's body with a scale reference provided by the reference rectangle in the initial image, and the reference rectangle may be represented by a non-square rectangle due to the direction in which the image was captured. Figure 3 is a tuned image of the garment with an exemplary line measuring tool generated by applying a perspective rectangle and a reference rectangle and a hardware rectangle shown as a true rectangle through application of perspective correction and applying a perspective correction. It also shows the measurement line ending at the measurement reference position on the adjusted image. Figure 4 shows the change of the shape or position of the scale reference as the magnification and rotation of the scale reference and the creation of the reference reference point and the enlargement of the corner area. Figure 5 shows a plurality of measurement reference points on the adjusted image and the adjusted image and reference reference points on the scale reference and scale reference. Figure 6 shows that the reference reference point on the enlarged scale reference matches the measurement reference point. Figure 7 shows that the reference reference point on the rotated scale reference matches the measurement reference point. Figure 8 shows that enlargement of the scale reference causes some areas of the scale reference including corner areas to be displayed with the adjusted image. Figure 9 shows a method of measuring the perimeter of a color in a garment image within an adjusted image. And Fig. 10 shows an example of a credit card including record information.

1, a system 100 may include a personal terminal 110, an application 120, a camera 130, a shopping mall server 140, a garment size estimation server 150, and a network 190 .

The garment size estimation server 150 includes a garment information storage 151 and a size estimation engine 152. The shopping mall server 140 includes a garment recommendation engine 141. [

The camera 130 can be a stand-alone camera, such as an Internet-connected computing device with a camera, such as what is currently referred to as a smart phone, which is typically a personal terminal 100, Examples are Apple Computer's iPhone® and Samsung and LG's Android-based phones. The camera 130 can be used to capture and transmit images of garment articles that conform to the body. The image may be transferred to paper and re-digitized or electronically delivered.

The garment size estimation server 150 capable of estimating the size of the garment from the photograph generates measurement values based on images of clothes articles and various calculation information received from the digital camera 130 as described later. The measurement may be stored in the clothing information store 151 and the size of the garment photographed by the size estimation engine 152 may be estimated.

The garment information store 151 may include dimensions for an assortment of garment items such as pants, shirts, jackets, jackets, sweatshirts, polo shirts, dresses, shoes, and boots described below. The clothing information store 151 may be implemented using a general purpose distributed memory caching system. In some implementations, the data structure may form an on-demand database service (ODDS) by storing information from one or more garment engineers into a table of common database images, and may include a multi-tenant database system ). A database image can contain one or more database objects. In other implementations, the database may be a relational database management system (RDBMS), an object-oriented database management system (OODBMS), a distributed file system (DFS), a schema-less database or other data storage system or computing device.

The original image of the garment article from the digital camera 170 may be imported or uploaded to the computer-based system using one of a number of transmission technologies, including but not limited to direct image upload, text message, e-mail or social media messages . WiFi hot spot or network. Raw images can be captured from printed pictures of clothing or humanity, and raw images can include scale references such as clothing and credit cards.

The shopping mall server 140 and the garment size estimation server 150 may each be any network or combination of networks that communicate with each other. For example, each of the shopping mall server 140 and the garment size estimation server 150 may be a LAN (local area network), a wide area network (WAN), a public switched telephone network (PSTN), a session initiation protocol ), Or any combination thereof. Data networks, including peer-to-peer connection Internet, such as star networks, Token Ring networks, hub networks, WiMAX, Wi-Fi, Bluetooth, Near Field Communication (NFC), Z-Wave, ZigBee, Other networks may be used, such as an intranet, an extranet, a virtual private network (VPN), a non-TCP / IP based network, any LAN or WAN.

Referring to Fig. 2, there is shown a raw image 201 of a garment article 200 suitable for a body shape, taken by a digital camera 130 on a personal terminal 110 of the owner of the garment article. The user desires to purchase through the shopping mall server 140 other clothing items customized to the body shape having the same suitability as the clothing article 200 suitable for the body shape of the user. In this example, the raw image 201 is captured using a camera that can be connected to the Internet for image transmission to facilitate sending measurements of the garment product to the mall server 140.

Referring to FIG. 2, a rectangular reference object 202 (e.g., a credit card) may be placed on or near the garment article, in preparation for capturing an image of the garment article that conforms to the body. The original image 201 includes an image of the reference rectangle 210. The reference rectangle of the original image 201 may be displayed in a quadrangle instead of a rectangle due to the direction in which the image was captured. In this example, the reference rectangle 210 is placed on the garment article 200, which is also part of the garment article 200, or with the garment article 200 so that at least a portion remains within the garment image 201 Can be located separately. As can be seen, the shape of the reference rectangle 210 is a non-rectangular quadrangle because of the warped orientation in which the image of the garment article 200 is captured. In this example, the reference rectangle 210 serves as a scale reference.

In some embodiments, a user may also photograph an apparel article 200 and a reference object 202 by executing an application 120 previously installed in the personal terminal 110 and executing a camera function provided by the application 120 . Here, the execution of the camera function means execution of the camera 130 installed in the personal terminal 110 in advance.

The personal terminal 110 transmits the photographed first image 201 and photographing information to the garment size measurement server 150. The shooting information here includes zoom information of the camera 130, unique information of the camera such as a focal distance, and state information of the camera at the shooting time.

The size estimation engine of the garment size estimation server 150 generates an image adjusted based on the first image and photographing information received from the personal terminal 110 and transmits the image to the personal terminal 110.

Referring to FIG. 3, the application 120 of the personal terminal 110 may display an adjusted image 301 that includes a scale reference 310 that can be viewed as an actual rectangle that is a quadrangle with four right angles. And the adjusted image here is an image with the original image rotated and the perspective corrected.

Figure 3 shows the adjusted image 301. The reference rectangle 310 is shown as a rectangle on a scale reference whose sides are equal in length and have an angle of 90 degrees at the edges. However, when the reference object is a credit card, the four corners of the credit card have a round shape, so the meaning of the angle of 90 degrees is not that the rectangular corner itself forms 90 degrees, It should be understood.

For example, you can use up to 12 measurements to reproduce a shirt that fits your body. These measurements include, but are not limited to, collar, shoulder, left sleeve, right sleeve, chest, waist, hips, length, left cuff, right cuff, left upper arm and right upper arm. Also, the number of measurements here can be more or less. And, the more the number of measurement points, the more accurately the body type information can be estimated.

Figure 3 shows an adjusted image of a photographed shirt having measurements to be displayed on screen 330 of a user display that is a component of the personal terminal 110. [ And may also include examples of two line measurement tools, a straight line measurement tool 340 and a curve measurement tool 350. Line measurement tools 340 and 350 are used to couple a pair of measurement reference points 360a, 360b, 360c, 360d, and 360e to the measurement line. In this example, twelve different measurement lines are created. The user can move, reduce, enlarge, and rotate the line measurement tools 340 and 350 through input means (e.g., touch input on the touch panel), and the curvature of the entire curve measurement tool 350 or the curvature Can be changed. The user can then connect the line measurement tool 340, 350 with a pair of measurement reference points.

The curve measuring tool 350 is used to generate the color measurement line 370. [ The straight line measurement tool 340 includes a shoulder measurement line 371, a left sleeve measurement line 372, a right sleeve measurement line 373, a breast measurement line 374, a waist measurement line 375, a hip measurement line 376, The left cuff measuring line 378 and the left cuff diameter 379. The right cuff measuring line 380, the left cuff diameter 381, the left upper arm measuring line 382, (383). ≪ / RTI > Depending on the particular type or style of apparel product, more or fewer number of measurement lines and different measurement lines may be used.

The application 120 stores the changed information when the reduction, enlargement, rotation, and curvature change of the line measurement tools 340 and 350 occur, and when the line measurement tools 340 and 350 are connected to the pair of measurement reference points And detects the total length information of the line measurement tools 340 and 350 connected to the pair of measurement reference points based on the stored information. That is, the circumference of the color is detected according to the total length of the curve measuring tool 350 and the length of each measurement line is detected according to the length of the linear measurement tool 340, thereby detecting distance information between measurement reference points. The application 120 transmits the detected information to the garment size estimation server 150. [

The size and aspect ratio of the reference rectangle can be determined through other approaches that are determined explicitly or automatically. The user can identify the reference rectangle used with an ISO / IEC standard dimensional credit card. The rectangle scoring algorithm described later can find explicitly identified rectangles. That is, the size estimation engine 152 from the photograph may receive the size of the reference rectangle. Another option is to allow the software to guess / determine the size of the reference rectangle, depending on the characteristics of the captured image, compared to data in a separate repository with typical card size information. You can select multiple rectangles in the figure and deduce that dimension from the list of allowed dimensions and aspect ratios. Or the size of the reference rectangle and the rounded corner and the text or logo are credit cards. In one use case, the customer can choose from a list of provided common items that can be used as reference squares, such as credit cards, banknotes, or standard size paper.

In one implementation of FIG. 2, the transformation from the raw image shown as the adjusted image representing the perspective correction comprises receiving the raw image and scale reference of the garment article, and recognizing the scale reference.

Scale reference and hardware processor are used to apply perspective correction to adjust the raw image and generate the adjusted image. In one implementation, you can implement the steps of a process using an open source library of programming functions and methods, such as CV2, provided by OpenCV. Scoring the positioned figure to identify the quadrangle corresponding to the reference image and completing the four-point transformation of the point in the located quadrangle to form a rectangle with a right angle at the corner. Gaussian blur algorithm can be used to reduce image noise.

You can use the size of the adjusted image to search the 4-point outline to find the rectangle in the image, then obtain a top-down view of the image and construct a set of target points. Arrange the contours for various factors, including the aspect ratio for the entire image. In some cases, searching for a rectangle may be difficult because of the presence of a checkerboard pattern on the surface of the garment that best fits the body when capturing an image, or because it includes a plaid pattern on the fabric of the garment. You can continue the perspective correction process, find outlines, score and align, and then use the resulting aspect ratio constraints to create the adjusted image.

The width of the adjusted image 301 is calculated as the maximum distance between the lower right and left lower x coordinates and the upper right and upper left x coordinates. The height of the adjusted image is calculated as the maximum distance between the upper right and lower right coordinate y coordinate and the upper left and lower left y coordinate.

Referring to FIG. 3, using the adjusted image together with the straight line measurement tool and the curve measurement tool as shown in FIG. 3, the scale reference can be determined and used as a line measurement tool.

The adjusted image and line measurement tool can be displayed on the user display. The user places the end of the line measuring tool in the measuring reference point (indicated by a circle) on the adjusted image of the garment article. A garment article distance between the measurement reference positions on the image of the adjusted garment product can be generated using the line adjustment tool. After repeating the process of receiving the n position for the end of the line measurement tool and creating the n + 1 apparel article distance, the resulting measurement is stored in the clothing information store 151. [ The size estimation engine 152 can estimate the garment size based on the measurements recorded in the clothing information storage 151 and transmits the estimated information to the shopping mall server 190. [

In another aspect, the scale reference 310 may be used as a measurement tool. Referring to FIG. 4, the scale reference 310 can be moved, rotated, enlarged and reduced by a user's touch input. For example, if the first scale reference 310a is enlarged, it is changed to the second scale reference 310b. The first and second reference reference points 311 and 312 are displayed on the second scale reference 310b obtained by enlarging the first scale reference 310a to a predetermined size or larger. The first and second reference points 311 and 312 are displayed at each of the two corners of the second scale reference 310b. For example, the first reference reference point 311 is displayed at one side edge of the second scale reference 310b, and the second reference reference point 312 is displayed at the other side edge of the second scale reference 310b. Also, the first and second reference reference points 311 and 312 are displayed only when the size of the scale reference 310 falls within the range of the first size to the second size. Where the first size is the size corresponding to the second scale reference 310b and the second size is the size corresponding to the fourth scale reference 310d.

Rotating the scale reference 310 (e.g., rotating the second scale reference) produces a third scale reference 310c. And expanding the third scale reference 310c generates a fourth scale reference 310d.

Scale reference 310 is magnified beyond the second magnitude to produce a fifth scale reference 310e. The fifth scale reference 310e is displayed as an enlarged one side edge of the scale reference 310 and only a part of the scale reference 310 including the enlarged corner area is displayed and the first and second reference reference points 311 , 312 disappear.

The application 120 stores position movement information, magnification information, reduction information, and rotation information when position movement, magnification, reduction, and rotation of the scale reference 310 occur.

As shown in FIG. 5, the scale reference 310 enlarged to a predetermined area so that the first and second reference reference points 311 and 312 are displayed is superimposed on the adjusted image 301 and a part of the area.

The user may move the scale reference 310 so that the first reference point 311 is located at the sixth measurement reference point 360f and the second reference point 312 is located at the second measurement reference point 360b, Or scale and move the scale reference (310).

7, the user can designate the scale reference (reference point) 360a such that the first reference reference point 311 is located at the seventh measurement reference point 360g and the second reference point 312 is located at the seventh measurement reference point 360h 310), and move and rotate the scale reference (310).

The application 120 may include positional movement information of the scale reference 310, enlargement information, reduction information, rotation information, measurement reference points 360a, 360b, ... where the first and second reference reference points 311, 312 are located, 1 and the second reference points 311 and 312 to the clothing size estimation server 150. [

8, when the scale reference 310 is enlarged beyond the second size, a partial area 310r of the scale reference 310 including the corner area of the scale reference 310 is displayed, (310r) is moved and / or rotated to be positioned at two points on the end of the collar on the garment article as shown in Fig. Here, two end points of the collar are two points at which the curves meet the curved line 310v forming the corner in the area 310r. The user places the curve 310v at the outermost point of the collar so that the curve 310v is located at two points on the end of the collar.

When the curve 310v is located at two points on the end of the collar, two segments from the two end points to the point where the circles indicated as the ninth measurement reference point 360i and the tenth measurement reference point 360j are tangent to each other Indicated by a dotted line) is displayed. Then, a fan-shaped figure formed by the curve 310v and two line segments (dotted line) is completed.

The application 120 detects information about a contact point of a circle which is a curved line 310v and two points where the color meets the ninth and tenth measurement reference points 360i and 360j and transmits the detected information to the clothing size estimation server 150. [

The scale reference 310 may be used to create a garment article distance between the metric reference locations on the image of the adjusted garment product. After repeating the process of receiving the n position for the near reference points on the scale reference 310 and creating the n + 1 clothing article distance, the resulting measurements are stored in the clothing information store 151. [ The size estimation engine 152 can estimate the garment size based on the measurements recorded in the clothing information storage 151 and transmits the estimated information to the shopping mall server 190. [

The size estimating engine 152 also determines the scale reference (s) displayed on the adjusted image 301 based on the pre-stored size of the credit card that is the subject of the scale reference 310 and the specification information (including information about the degree of rounding of the corner) (310) and the credit card actual size, and detects enlargement / reduction information of the scale reference (310) according to the touch of the user in the process of measuring the size of the garment and enlargement / reduction information The second scale information of the scale reference 310 and the credit card actual size is detected. In addition, the size of the garment can be estimated based on the distance information between the reference reference points of the scale reference 310 located at the measurement reference points and the second ratio information.

The circumference of the color can be estimated based on the area information of the fan-shaped figure formed by the two points at which the curve 310v of the scale reference 310 and the clothing image 310 meet and the contact points of the two measurement reference points.

The application 120 installed in the personal terminal 110 can detect the printed information in the credit card which is the photographed scale reference 310. [ The application 120 may detect print information in the photographed credit card, obtain credit card information, encrypt the acquired credit card information, and transmit the encrypted credit card information to the apparel size estimation server 150. [

The garment size estimation server 150 may transmit the estimated garment size information to the shopping mall server 140. [

The shopping mall server 140 may filter the clothes suitable for the body type of the user based on the estimated clothing size information among the sales clothes which are made up of the database and transmit them to the personal terminal 110. [ Also, when the user inputs a selection for purchasing at least one apparel among the recommended apparel displayed on the personal terminal 110, at the same time that the selection information is transmitted to the shopping mall server 140, To the estimation server (140). Here, the purchase request signal includes encryption information for decrypting the credit card information.

Upon receipt of the apparel purchase request signal, the apparel size estimation server 140 releases the password of the credit card information received from the personal terminal 110 using the password information in the apparel purchase request signal, and transmits the decrypted credit card information to the shopping mall To the server (140). The shopping mall server 140 can transmit the payment page generated based on the purchase page for purchasing the apparel selected by the user and the credit card information received from the apparel size estimation server 140 to the personal terminal 110. The user can proceed to purchase purchase of the clothes using the purchase page and the payment page displayed on the personal terminal 110. [

The user may take a credit card with the garment as scale reference 310 to estimate the size of the garment suitable for his body shape. And, at this time, the credit card to be selected by the scale reference 310 can be selected as a credit card to be used when buying clothes. Accordingly, the user can receive clothing information suitable for his or her body type, and can proceed to settle the apparel purchase with a desired card without selecting a card to be paid or inputting card information. Further, only when the user has clothes to be purchased among the recommended clothes, the password information for decrypting the credit card information is transmitted to the clothing size estimation server 150, thereby preventing the leakage of personal information due to leakage of the credit card information .

In another aspect, the application 120 installed in the personal terminal 110 may detect the printed information in the credit card, which is the captured scale reference 310. The application 120 detects print information in the photographed credit card and obtains credit card information, and encrypts remaining information (card number, valid period, card name information, etc.) of the acquired credit card information excluding the credit card type information And transmits it to the garment size estimation server 150.

The garment size estimation server 140 can select any of the plurality of shopping mall servers 140 registered in advance based on the credit card type information received from the personal terminal 110. [ The selection criterion here is to search for a shopping mall that carries out sales of clothing linked to a specific event that can provide a benefit for a specific credit card, a free shipping charge, or a no interest installment, It is possible to transmit garment size information estimated as a shopping mall server. Accordingly, the user can automatically recommend the shopping mall having the largest benefit according to the type of the credit card, and at the same time, the clothing suitable for his or her body type can be recommended.

In another aspect, when a user takes a credit card with a garment as a scale reference 310, the user can determine the priority of the benefit by varying the initial location of the credit card. For example, the first case where the credit card is photographed without rotating the credit card, the second case where the credit card is rotated by 90 degrees, and the third case where the credit card is rotated by 180 degrees It can be assumed that either one of the following is true. The assumption here is merely exemplary and is not limited to the above-described angles.

For example, when a user photographs a credit card without rotating the credit card, a no-payment incentive event, a free shipping event when the credit card is rotated 90 degrees, and a credit card rotated 180 degrees In the case of taking a picture, it can be seen that the user is preferred to the measurement event that the highest discount rate is paid when the card is photographed.

The application 120 can detect the record information in the credit card and detect the angle information of the record information. For example, when the credit card is photographed in a state rotated by 90 degrees, the record information becomes information extending from the top to the bottom, and when the credit card is photographed in the state rotated by 180 degrees, the record information is detected as being inverted .

The application 120 transmits detection angle information of the record information to the garment size estimation server 150. [ The garment size estimation server 150 selects one of the plurality of benefit information corresponding to the received detection angle information and searches for a shopping mall server capable of providing the selected benefit information, Information can be transmitted.

When photographing a credit card with the scale reference 310 for estimating the size of the garment, the user can make the shopping mall recommended by the user most favorable by changing the position of the credit card, and at the same time, Of the garments to be handled, clothes suitable for their body type can be recommended.

Figure 11 shows a flow diagram of an implementation (SlOO) of a method for estimating a garment size and recommending an apparel article according to estimated information.

The flowchart S100 may be implemented at least in part as a database system by one or more processors configured to receive or retrieve information, process information, store results, and send the results. Other implementations may perform steps in different orders and / or different, fewer, or additional steps than the steps shown in FIG. The operations described later may be subdivided into more steps or combined into fewer steps to perform the described method using different numbers or arrangements of steps.

In some cases, as the reader may understand, relocation of a step can yield the same result only when certain other changes are made. In other cases, as can be appreciated by the reader, the relocation of the steps may only result in the same result if certain conditions are met. It will also be appreciated that the flowcharts herein depict only steps associated with understanding the present invention, and that a number of additional steps for achieving other functions may be performed before, after, and between.

In operation S110, the application 120 in the personal terminal 110 generates the initial image by photographing the original image and scale reference of the garment using the camera 130 of the personal terminal 110. [

In operation S120, the application 120 of the personal terminal 110 or the garment size estimation server 150 receiving the initial image recognizes the scale reference and adjusts the initial image based on the scale reference to obtain the adjusted image .

In operation S130, a measurement tool is displayed on the display 330 of the personal terminal 110 to measure the adjusted image and a plurality of measurement reference points displayed in the garment image in the adjusted image and the size of the garment.

In operation S140, the garment size estimation server 150 receiving the position information of the application 120 or the measurement tool of the personal terminal 110 detects the distance between the measurement reference points at which the measurement tool is located among the plurality of measurement reference points do.

In operation S150, the application 120 of the personal terminal 110 or the garment size estimation server 150 estimates the size information of the garment by repeating the step of detecting the distance n times.

In operation S160, the garment size estimation server 150 estimates the body shape of the user and transmits the estimation information to the shopping mall server 140. [ Then, the shopping mall server 140 searches for garment recommendation goods that are worthy to the received body shape information, and transmits the garment recommendation goods to the personal terminal 110, thereby displaying garment recommendation goods on the display.

Meanwhile, the scale reference includes a reference rectangle in the original image, and the recognition of the scale reference is recognition of the reference rectangle.

In addition, the scale reference is a credit card, and the four corners of the reference square, which is the credit card, have a round shape. And the round shape are information previously stored in the garment size estimation server 150. [

In operation S140, the scale reference is enlarged in response to a touch input for enlarging the scale reference to a predetermined first size, and displaying first and second reference reference points on each of two corners of the enlarged scale reference Positioning the first reference reference point at one of the plurality of measurement reference points and positioning the second reference reference point at another measurement reference point of the plurality of measurement reference points, And detecting a distance between the first reference reference point and the second reference reference point.

In operation S140, receiving a touch input for enlarging the scale reference to a predetermined second size, displaying a partial area of the enlarged scale reference including one corner area of the enlarged scale reference, Moving said edge region in response to a touch input moving said corner region to cause first and second points in a curve representing an edge region to meet said garment image, Detecting a circumference of a specific region on the garment image based on an area of a fan-shaped pattern formed by the contact points of the first and second points.

The following describes various aspects of a method for estimating body shape information for recommending a personalized garment.

A method for estimating body shape information for recommending a personalized garment, comprising the steps of: detecting record information in the scale reference; encrypting at least some information of the detected record information; and purchasing at least one item Decrypting the record information in response to an input for the credit card to generate a payment page that allows the user to purchase the product with the credit card.

In addition, the information recording apparatus may encrypt remaining information excluding the type information of the credit card among the detected recording information.

Also, the shopping mall providing the benefits associated with the credit card may be searched based on the credit card type information, and the garment recommendation product may be searched in the searched shopping mall.

12 shows a computer system 810, which means a personal terminal 110, a clothing size estimation server 150, and a shopping mall server 140, respectively, constituting a system for implementing a method for estimating figure information for recommending a personalized garment. ≪ / RTI > The processor (s) may be an ASIC or a RISC processor. FPGA or other logic or gate array. Graphics Processing Unit (GPU) resources. The computer system 810 typically includes at least one processor 872 that communicates with a number of peripherals via a bus subsystem 850. These peripheral devices include, for example, a storage subsystem 826 including a memory device and a file storage subsystem, a user interface input device 838, a user interface output device 878, and a network interface subsystem 876 . The input and output devices allow a user to interact with the computer system 810. Network interface subsystem 876 provides an interface to an external network, including interfaces to corresponding interface devices of other computer systems.

User interface input devices 838 may include a keyboard and may include a pointing device such as a mouse, trackball, touchpad or graphics tablet, an audio input device such as a scanner, a touch screen integrated into the display, a voice recognition system and a microphone, Other types of input devices may be included. In general, the use of the term "input device" is intended to include a method of inputting possible types of devices and information into the computer system 810.

The user interface output device 878 may include a non-visual display, such as a display subsystem, a printer, a fax machine, or an audio output device. The display subsystem may include a flat panel device such as a cathode ray tube (CRT), a liquid crystal display (LCD), a projection device, or other mechanism for generating a visible image. The display subsystem may also provide a non-visual display, such as an audio output device. In general, the use of the term "output device" is intended to encompass possible types of devices and methods of outputting information from computer system 810 to a user or other machine or computer system.

The storage subsystem 824 stores programming and data configurations that provide the functionality of some or all of the modules and methods described herein. These software modules are typically executed by processor 872 alone or in conjunction with other processors.

The memory 822 used in the storage subsystem includes a main random access memory (RAM) 834 for storing instructions and data during program execution and a read only memory (ROM) 832 in which fixed instructions are stored And may include a plurality of memories. The file storage subsystem 836 may provide persistent storage for programs and data files and may include a hard disk drive, a floppy disk drive, a CD-ROM drive, an optical drive, or a removable media cartridge with associated removable media . Modules that implement the functionality of a particular implementation may be stored by the file storage subsystem 336 of the storage subsystem 826, or installed on another computer that the processor can access.

Bus subsystem 850 provides a mechanism by which the various components and subsystems of computer system 810 communicate with each other as intended. Although the bus subsystem 850 is schematically illustrated as a single bus, other implementations of the bus subsystem may use multiple buses.

The computer system 810 may be of various types, including a workstation, a server, a computing cluster, a blade server, a server farm, or any other data processing system or computing device. Due to the ever-changing nature of computers and networks, the description of computer system 810 shown is intended only as an example. Many different configurations of computer system 810 may have more or fewer components than the computer system shown.

The embodiments of the present invention described above can be implemented in the form of program instructions that can be executed through various computer components and recorded in a computer-readable recording medium. The computer-readable recording medium may include program commands, data files, data structures, and the like, alone or in combination. The program instructions recorded on the computer-readable recording medium may be those specifically designed and configured for the present invention or may be those known and used by those skilled in the computer software arts. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CD-ROM and DVD, magneto-optical media such as floptical disks, medium, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code, such as those generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware device may be modified into one or more software modules for performing the processing according to the present invention, and vice versa.

The specific acts described in the present invention are, by way of example, not intended to limit the scope of the invention in any way. For brevity of description, descriptions of conventional electronic configurations, control systems, software, and other functional aspects of such systems may be omitted. Also, the connections or connecting members of the lines between the components shown in the figures are illustrative of functional connections and / or physical or circuit connections, which may be replaced or additionally provided by a variety of functional connections, physical Connection, or circuit connections. Also, unless explicitly mentioned, such as " essential ", " importantly ", etc., it may not be a necessary component for application of the present invention.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the technical scope of the present invention should not be limited to the contents described in the detailed description of the specification, but should be defined by the claims.

Claims (10)

A method for estimating body shape information for recommending a personalized garment,
The personal terminal capturing the original and scale references of the garment to produce an initial image;
The personal terminal recognizing the scale reference and adjusting the original image based on the scale reference to generate an adjusted image;
Displaying on the display a measurement tool for measuring a plurality of measurement reference points and a size of the garment displayed on the garment image in the adjusted image and the adjusted image;
Wherein the personal terminal detects a distance between measurement reference points at which the measurement tool is located among the plurality of measurement reference points;
Estimating size information of the garment by repeating the step of detecting the distance n times for the personal terminal; And
Wherein the personal terminal displays garment recommendation goods on the display based on size information of the garment,
Wherein the step of detecting the distance between the measurement reference points of the plurality of measurement reference points,
Receiving, by the personal terminal, a user input that scales the scale reference in response to a touch input that scales the scale reference to a first predetermined size;
The personal terminal displaying first and second reference points on each of two corners of an enlarged scale reference;
Wherein the personal terminal receives a user input that positions the first reference point to one of the plurality of measurement reference points and positions the second reference reference point at the other one of the plurality of measurement reference points step;
The personal terminal identifying an enlargement ratio of the scale reference and a distance between the first and second reference reference points;
Estimating size information of the garment based on an enlargement ratio of the scale reference and a distance between the first reference reference point and the second reference reference point;
Receiving, by the personal terminal, a user input that scales the scale reference to a second predetermined size;
The personal terminal displaying a partial area of the enlarged scale reference including one corner area of the enlarged scale reference;
Moving the corner region in response to a touch input moving the corner region so that first and second points in a curve representing the corner region meet the garment image; And
Detecting a circumference of a specific region on the garment image based on an area of a fan-shaped figure formed by a contact point of two measurement reference points adjacent to the corner region and the first and second points, ,
A method for estimating body shape information for recommending a personalized garment
Confirming whether the personal terminal includes an image corresponding to a credit card in an area corresponding to the scale reference;
Extracting record information from an image corresponding to the credit card in response to confirming that the personal terminal includes an image corresponding to the credit card within an area corresponding to the scale reference;
Encrypting the extracted record information by the personal terminal;
Transmitting, by the personal terminal, the encrypted record information and the angle information of the record information included in the image corresponding to the credit card to an external server corresponding to a user input for purchasing the apparel recommendation product;
Wherein the personal terminal receives from the external server a purchase page and a payment page generated based on the encrypted record information, the information on the apparel recommendation product, and the angle information of the record information included in the image corresponding to the credit card Receiving; And
Further comprising the step of the personal terminal displaying the purchase page and the payment page on the display,
Wherein the scale reference includes a reference rectangle in the original image,
The step of encrypting the extracted record information
The personal terminal encrypting all of the remaining information except for the type information of the credit card among the extracted record information,
A method for estimating body shape information for recommending a personalized garment
Further comprising the step of the external server searching for a shopping mall providing benefits associated with the credit card based on the type information of the credit card and searching for the garment recommendation item in the searched shopping mall, A method for estimating information.
delete delete delete delete delete delete delete delete 12. A non-transitory computer readable medium storing instructions for performing the steps of claim 1. 11. A computer readable medium having computer-

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