稀疏RGBD图像中人体关节区域的运动分析与重建

T. Dong, Yuntao Bai, Qing Zhang, Yi Zhang
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引用次数: 0

摘要

提出了一种仅依靠极稀疏RGBD图像就能重建动态人体关节区域的运动变形分析框架。在框架中,我们从其内部材料的角度分析了节点区域的变形机理。引入有限元法,将节理区域的非刚性变形转化为多单元的弹性变形。考虑到关节位置对运动变形分析的影响,对先前由骨骼跟踪得到的关节位置进行优化。实验结果验证了该框架的合理性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Motion Analysis and Reconstruction of Human Joint Regions for Sparse RGBD Images
We propose a motion deformation analysis framework that can re-construct the joint region of dynamic human only depending on extremely sparse RGBD images. In the framework, we analyze the deformation mechanism of the joint region from the perspective of its internal material. The non-rigid deformation of a joint region is transformed into the elastic deformation of multiple elements by introducing Finite Element Method. Considering the influence of joint position on the motion deformation analysis, we optimize the joint positions obtained from skeleton tracking prior. Experimental results verify the rationality and effectiveness of our framework.
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