基于足底图像特征分割的三维模型重建

M. Zhang, Zhenning Zhang, Weiqing Li
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引用次数: 1

摘要

基于激光扫描的鞋底三维重建成本高、耗时长,且基于结构光的三维重建容易受到环境光的影响。提出了一种基于足底图像特征分割的足底三维重建方法。根据图像中的形态特征将鞋底分割为两个区域。一种是接触玻璃的拱形部分,另一种是不接触的弧形部分。并设计了一个实验,总结了各区域的足底高度与灰度值之间的规律。然后在此基础上分别重构两个区域的形状。最后,我们通过合并两个点云模型来实现足底重建。实验结果表明,该系统能够有效地进行分类和重构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D model reconstruction based on plantar image's feature segmentation
The 3D reconstruction of sole based on laser scanning is costly and time-consuming, the 3D reconstruction based on structured light is susceptible to ambient light. A 3D reconstruction method of sole based on the plantar image's feature segmentation is proposed. The sole is segmented into two regions by the morphological features in the image. One is the arch part touching the glass, another is the un-touching camber part. And an experiment is designed to summarize the law between the plantar height and gray value in each region. Then we reconstruct the two regions' shapes separately on the basis of the regulation. Finally, we implement the plantar reconstruction by merging the two point cloud models. Experimental evaluation demonstrates that the system can do the classification and reconstruction effectively.
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