Single image 3D human pose estimation from noisy observations

@article{SimoSerra2012SingleI3,
  title={Single image 3D human pose estimation from noisy observations},
  author={Edgar Simo-Serra and Arnau Ramisa and Guillem Aleny{\`a} and Carme Torras and Francesc Moreno-Noguer},
  journal={2012 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2012},
  pages={2673-2680}
}
Markerless 3D human pose detection from a single image is a severely underconstrained problem because different 3D poses can have similar image projections. In order to handle this ambiguity, current approaches rely on prior shape models that can only be correctly adjusted if 2D image features are accurately detected. Unfortunately, although current 2D part detector algorithms have shown promising results, they are not yet accurate enough to guarantee a complete disambiguation of the 3D… CONTINUE READING
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