A lightweight 3D foot measurement method base on visual hull and slices-net

IF 3.5 2区 工程技术 Q2 OPTICS
Dong He , Ameng Li , Yang Yang , Bo Gao , Xiaoli Liu
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引用次数: 0

Abstract

This paper presents a lightweight methodology for 3D foot reconstruction that transitions from visual hull slicing to precise 3D shape, enabling passive 3D measurement. We approximate a rough 3D surface using the visual hull method and perform slicing along the Z-axis to generate visual hull slicing images. A convolutional neural network, named Slices-Net, is designed to transform visual hull slicing images into denser and finer slice images for the reconstruction of precise 3D foot surfaces. Extensive experiments validate that the proposed method achieves an accuracy of up to 1.5 mm and demonstrates high robustness, successfully applying it to 3D foot measurement.
一种基于视觉船体和切片网的轻型三维足部测量方法
本文提出了一种轻量级的3D足部重建方法,可以从视觉船体切片过渡到精确的3D形状,从而实现被动的3D测量。我们使用视觉船体方法近似粗糙的3D表面,并沿z轴执行切片以生成视觉船体切片图像。一个名为slice - net的卷积神经网络,旨在将视觉船体切片图像转换为更密集、更精细的切片图像,以重建精确的3D足部表面。大量的实验验证了该方法的精度可达1.5 mm,具有较高的鲁棒性,并成功地应用于三维足部测量。
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来源期刊
Optics and Lasers in Engineering
Optics and Lasers in Engineering 工程技术-光学
CiteScore
8.90
自引率
8.70%
发文量
384
审稿时长
42 days
期刊介绍: Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods. Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal''s scope. The scope of the journal is defined to include the following: -Optical Metrology- Optical Methods for 3D visualization and virtual engineering- Optical Techniques for Microsystems- Imaging, Microscopy and Adaptive Optics- Computational Imaging- Laser methods in manufacturing- Integrated optical and photonic sensors- Optics and Photonics in Life Science- Hyperspectral and spectroscopic methods- Infrared and Terahertz techniques
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