A foot parameter measurement extraction method and system based on a parameterized model

By using multi-view visual acquisition and multi-head attention deep learning technology, a parametric model of adolescent feet is generated, which solves the problems of poor model adaptability, low measurement accuracy, complex operation and high cost in the existing technology, and realizes accurate measurement and efficient assessment of adolescent feet.

CN121457334BActive Publication Date: 2026-04-07HANGZHOU YILAN TECH CO LTD
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Patent Information

Application Number
CN202610003838.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-01-05
Publication Date
2026-04-07
Estimated Expiration
2046-01-05

AI Technical Summary

Technical Problem

Existing 3D foot modeling technology cannot accurately depict the growth pattern of adolescent feet, nor can it effectively capture the local geometric distortion features of unhealthy foot types. Furthermore, existing measurement methods are complex to operate, costly, and have low accuracy, making it difficult to meet the batch measurement needs of adolescents.

Method used

Employing multi-view visual acquisition, mesh registration optimization, and multi-head attention deep learning techniques, depth and color images are acquired through an industrial camera to generate multi-view initial point clouds and convert them into triangular mesh models. Combined with principal component analysis and graph structure features, a parametric model is constructed, and foot anthropometric indicators are extracted through a multi-head attention neural network.

Benefits of technology

It achieves accurate characterization of adolescent foot shape, improves the accuracy of capturing geometric distortions of unhealthy foot types, reduces measurement errors, improves batch measurement efficiency, reduces equipment costs, and is suitable for batch screening scenarios in schools and communities.

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Abstract

This invention relates to the field of three-dimensional parametric modeling and precise measurement of the foot, and discloses a method and system for measuring and extracting foot parameters based on a parametric model. The method includes: acquiring foot depth and color images from multiple perspectives and calibrating the camera; reconstructing multi-view point clouds and fusing them into a complete point cloud, converting it into a triangular mesh model; achieving mesh standardization through NICP and ARAP algorithms, and constructing a measurement mapping matrix by combining local extremum detection; extracting principal components of adolescent foot types based on PCA and constructing a parametric model; and employing a multi-head attention network that integrates geometric priors to output foot anthropometric indicators end-to-end from single-view color images. This invention is based on adolescent data modeling, adaptable to both adolescent and unhealthy foot types, with small measurement errors, high batch measurement efficiency, and low hardware costs. It can support adolescent foot health assessment and personalized footwear customization, and has significant practical applications.
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