• Corpus ID: 236986973

HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton

@article{Cheng2021HandFoldingNetA3,
  title={HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton},
  author={Wencan Cheng and Jae Hyun Park and Jong Hwan Ko},
  journal={ArXiv},
  year={2021},
  volume={abs/2108.05545}
}
With increasing applications of 3D hand pose estimation in various human-computer interaction applications, convolution neural networks (CNNs) based estimation models have been actively explored. However, the existing models require complex architectures or redundant computational resources to trade with the acceptable accuracy. To tackle this limitation, this paper proposes HandFoldingNet, an accurate and efficient hand pose estimator that regresses the hand joint locations from the normalized… 

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