Corpus ID: 236428458

Hand Image Understanding via Deep Multi-Task Learning

@article{Zhang2021HandIU,
  title={Hand Image Understanding via Deep Multi-Task Learning},
  author={Xiong Zhang and Hongsheng Huang and Jianchao Tan and Hongmin Xu and Cheng Yang and Guozhu Peng and Lei Wang and Ji Liu},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.11646}
}
Analyzing and understanding hand information from multimedia materials like images or videos is important for many real world applications and remains active in research community. There are various works focusing on recovering hand information from single image, however, they usually solve a single task, for example, hand mask segmentation, 2D/3D hand pose estimation, or hand mesh reconstruction and perform not well in challenging scenarios. To further improve the performance of these tasks… Expand

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TLDR
This work proposes to first project the query depth image onto three orthogonal planes and utilize these multi-view projections to regress for 2D heat-maps which estimate the joint positions on each plane to produce final 3D hand pose estimation with learned pose priors. Expand
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