Hand Pose Estimation from Local Surface Normals

@inproceedings{Wan2016HandPE,
  title={Hand Pose Estimation from Local Surface Normals},
  author={Chengde Wan and Angela Yao and Luc Van Gool},
  booktitle={ECCV},
  year={2016}
}
We present a hierarchical regression framework for estimating hand joint positions from single depth images based on local surface normals. The hierarchical regression follows the tree structured topology of hand from wrist to finger tips. We propose a conditional regression forest, i.e. the Frame Conditioned Regression Forest (FCRF) which uses a new normal difference feature. At each stage of the regression, the frame of reference is established from either the local surface normal or… CONTINUE READING
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