A new approach for body pose recovery
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
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We address the issue of markless human motion capture by voxel labeling. We explore the problem of pose estimation from voxel cloud based on a predefined human model. First, voxels are labeled into different individual parts of the body. Then, the joints are extracted from labeled voxels. Finally, the joint angles are estimated from the joints. Tested on the voxel data in our experiments, our algorithm is insensitive to noise and achieve fine accuracy in pose estimation.