Interactive Markerless Articulated Hand Motion Tracking Using RGB and Depth Data

@article{Sridhar2013InteractiveMA,
  title={Interactive Markerless Articulated Hand Motion Tracking Using RGB and Depth Data},
  author={Srinath Sridhar and Antti Oulasvirta and Christian Theobalt},
  journal={2013 IEEE International Conference on Computer Vision},
  year={2013},
  pages={2456-2463}
}
Tracking the articulated 3D motion of the hand has important applications, for example, in human-computer interaction and teleoperation. We present a novel method that can capture a broad range of articulated hand motions at interactive rates. Our hybrid approach combines, in a voting scheme, a discriminative, part-based pose retrieval method with a generative pose estimation method based on local optimization. Color information from a multi-view RGB camera setup along with a person-specific… CONTINUE READING

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