Automatic Kinematic Chain Building from Feature Trajectories of Articulated Objects

@article{Yan2006AutomaticKC,
  title={Automatic Kinematic Chain Building from Feature Trajectories of Articulated Objects},
  author={Jingyu Yan and Marc Pollefeys},
  journal={2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)},
  year={2006},
  volume={1},
  pages={712-719}
}
We investigate the problem of learning the structure of an articulated object, i.e. its kinematic chain, from feature trajectories under affine projections. We demonstrate this possibility by proposing an algorithm which first segments the trajectories by local sampling and spectral clustering, then builds the kinematic chain as a minimum spanning tree of a graph constructed from the segmented motion subspaces. We test our method in challenging data sets and demonstrate the ability to… CONTINUE READING
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