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.
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