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Noncontact foot measurement and shoe tree matching method

A non-contact, matching technology, applied in the fields of image recognition, intelligent matching, and e-commerce, can solve problems such as inability to collect instep height data, inability to analyze space differences in shoes, single measurement data, etc., to achieve simple and practical data collection, The effect of wide application range and simple operation

Inactive Publication Date: 2013-01-23
BEIHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1. The measurement data is single, only foot length and foot width data are collected, and instep height data cannot be collected
[0004] 2. The measurement method depends on a special device
[0005] 3. The corresponding relationship with the inner space of the shoe (that is, the shoe last) is only one data of the length of the foot, and it is impossible to analyze the different styles, structures, and uses of the inner space of the shoe
[0006] 4. The simulated try-on experience in terms of length, width, and height cannot be obtained by analyzing the eigenvalues ​​of the feet and the corresponding eigenvalues ​​of the shoe last

Method used

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  • Noncontact foot measurement and shoe tree matching method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0143] The matching method provided by the present invention is described below through a specific embodiment. Using the method provided by the present invention, the specific steps are as follows:

[0144] The first step is to determine the eigenvalues ​​of the first foot:

[0145] Take pictures of both feet from the front and side, or compare the feet with a ruler A4 paper.

[0146] A first foot feature value is obtained according to the foot image, and a three-dimensional model of the foot is established.

[0147] According to the foot image, the characteristic values ​​of the first foot can be obtained: ①Length of the right foot: L1=24.143226cm ②Width of the right foot: L2=10.474839cm ③Height of the widest part of the foot: H1=3.456697cm ④The middle height of the instep : H2=7.856129cm. like figure 1 and figure 2 .

[0148] The second step is to convert the shoe last data of the pre-purchased new shoe B to obtain the most suitable foot characteristic data of the shoe...

Embodiment 2

[0158] The first step is to take the front and side photos of the foot with the coin as the reference scale to obtain the foot image. Data analysis is performed on the foot image to obtain a first foot feature value. L1=240mm, L2=85mm, H1=42mm, H2=80mm.

[0159] The second step is to measure the shoe last data of the pre-purchased shoe B, and convert the shoe last data to obtain the second foot characteristic value.

[0160] L1”=250mm, L2”=88mm, H1”=40mm, H2”=75mm.

[0161] The third step is to match the eigenvalues ​​of the first foot with the eigenvalues ​​of the second foot to obtain the degree of fit:

[0162] Q1=66.7%, Q2=96.6%, Q3=95%, Q4=93.3%, Q5=57.1%.

[0163] The fourth step is to get the feeling of trying on according to the degree of fit.

[0164] Combined with Table 1, the comprehensive evaluation is: it is not recommended to buy this shoe.

Embodiment 3

[0166] The first step is to measure the shoe last data of shoe A based on the user’s existing comfortable shoe A as an example, convert the shoe last data to obtain the corresponding second foot feature value, and assign the second foot feature value to The first foot eigenvalue.

[0167] LA1”=240mm, LA2”=85mm, HA1”=42mm, HA2”=80mm.

[0168] The second step is to measure the shoe last data of the pre-purchased shoe B, and convert the shoe last data to obtain the second foot characteristic value.

[0169] LB1”=250mm, LB2”=88mm, HB1”=40mm, HB2”=75mm.

[0170] The third step is to match the eigenvalues ​​of the first foot with the eigenvalues ​​of the second foot to obtain the degree of fit:

[0171] Q1'=66.7%, Q2'=96.6%, Q3'=95%, Q4'=93.3%, Q5'=57.1%

[0172] The fourth step is to get the feeling of trying on according to the degree of fit.

[0173] According to Table 2, the comprehensive evaluation is: it is not recommended to buy this shoe.

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Abstract

The invention discloses a noncontact foot measurement and shoe tree matching method, which belongs to the technical field of image recognition, electronic commerce and intelligent match. The matching method is characterized in that a first foot characteristic value is obtained by photographing or measuring the existing shoe, a second foot characteristic value is obtained by converting data of a shoe tree, then the first foot characteristic value is matched with the second foot characteristic value, and real try-on experience can be provided for users according to the integrating degree obtained through the contrast matching. Due to adopting the matching method, a special device is not needed, and only one camera and one piece of A4 paper or one coin is needed, so that simpleness in operation is achieved; by calculating the shape variation and angle of the A4 paper or the coin in a photo, a numerical value of a foot can be calculated, and the precision is high. The matching method targets at consumers and all shoe products sold through the internet, so that the application range is wide.

Description

technical field [0001] The invention belongs to the technical fields of image recognition, e-commerce and intelligent matching, and relates to a matching method for foot measurement and shoe last, in particular to a non-contact foot measurement and shoe last matching method. Background technique [0002] The collection and measurement of foot feature values ​​are of great help to consumers when they buy shoes online. Existing methods for measuring foot data include the following: a human foot size and shape measuring device (application number: 01211129.5); a shoe box with measurement function (application number: 200920182916.8); a foot length measurement system ( Application number: 200920073003.2). The measurement methods provided by the above patents can solve the measurement of foot data, but there are the following deficiencies: [0003] 1. The measurement data is single, only foot length and foot width data are collected, and instep height data cannot be collected. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/00
Inventor 潘琛孙婉莹石晓倩郝金星
Owner BEIHANG UNIV
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