Articulated pose identification with sparse point features

@article{Li2004ArticulatedPI,
  title={Articulated pose identification with sparse point features},
  author={Baihua Li and Qinggang Meng and Horst Holstein},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
  year={2004},
  volume={34},
  pages={1412-1422}
}
We propose a general algorithm for identifying an arbitrary pose of an articulated subject with sparse point features. The algorithm aims to identify a one-to-one correspondence between a model point-set and an observed point-set taken from freeform motion of the articulated subject. We avoid common assumptions such as pose similarity or small motions with respect to the model, and assume no prior knowledge from which to infer an initial or partial correspondence between the two point-sets. The… CONTINUE READING

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