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Image based human foot key part data extraction and measurement method

A technology of key parts and measurement methods, applied in image data processing, image analysis, instruments, etc., can solve problems such as difficult to buy comfortable shoes

Inactive Publication Date: 2014-03-19
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Today, when online shopping is prevalent, it is difficult to buy comfortable shoes solely relying on a shoe size information

Method used

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  • Image based human foot key part data extraction and measurement method
  • Image based human foot key part data extraction and measurement method
  • Image based human foot key part data extraction and measurement method

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Embodiment Construction

[0070] In order to better understand the technical solution of the present invention, the embodiments of the present invention will be further described below in conjunction with the accompanying drawings:

[0071] The present invention is realized in combination with opencv1.0 under the programming environment of Microsoft Visual C++6.0. Figure 2(a) shows the measurement process of foot length and width according to the frontal view, and flow chart 2(b) for the height measurement of key parts of the foot surface according to the side view. The computer configuration adopts: Intel Core i2E7300 processor, the main frequency is 2.66GHz, the memory is 3GB, and the operating system is 32-bit Windows XP Professional Edition. The data extraction and measurement method for the key parts of the human foot includes the following steps:

[0072] Step 1: According to Figure 1(a) and Figure 1(b), collect frontal photos and side photos in the form of schematic diagrams of image collection...

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Abstract

An image based human foot key part data extraction and measurement method comprises step 1, obtaining an image; step 2, detecting vertex coordinates of four corners of A4 paper and performing geometric correction on the image; step 3, performing target extraction and measurement on a front foot; step 4, performing target extraction and measurement on a lateral foot. According to the image based human foot key part data extraction and measurement method, data of foot key parts can be effectively obtained by a geometric correction and image processing technology, the requirements for shoe size selection of shoe buyers and shoe production of shoe manufacturers can be met, and the error of the data is within 2 mm; the obtained data can be utilized as a reference in online shoe shops and accordingly the accurate shoe size and design can be provided for users and the success rate of online shopping can be improved; the shoe manufacturers can also utilize the data to provide the specialized custom service for consumers and accordingly the users can be helped to select or customize satisfied shoes and the cost produced by return service of the manufacturers in the sales link can also be saved.

Description

(1) Technical field: [0001] The invention relates to an image-based data extraction and measurement method for key parts of human feet, belonging to the technical fields of image processing and photographic geometry measurement. (2) Background technology: [0002] People need to walk, and the comfort of shoes affects the quality of life. There are many shoe brands, and each brand has its own unique internal design parameters and streamlines. For a pair of shoes with a certain number, the width and height of the shoe, the shape and slope design of the sole, and the parameters of the last, etc., will all have an impact on the comfort of the foot. How to design shoes that conform to people's physiological characteristics according to people's foot shape is a very professional problem. There are many styles of shoes, but not every pair of shoes is suitable for you. Buying shoes can be a hassle, especially for those with special feet. With the popularity of online shopping to...

Claims

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Application Information

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IPC IPC(8): G06T7/60
Inventor 谢凤英李阳潘琛孙婉莹
Owner BEIHANG UNIV
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