Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2011-06-27
Computer Science
Computer Vision and Pattern Recognition
2 pages, 2 figures, RGB-D workshop in Robotics: Science and Systems (RSS 2011)
Scientific paper
We present a method for estimating pose information from a single depth image given an arbitrary kinematic structure without prior training. For an arbitrary skeleton and depth image, an evolutionary algorithm is used to find the optimal kinematic configuration to explain the observed image. Results show that our approach can correctly estimate poses of 39 and 78 degree-of-freedom models from a single depth image, even in cases of significant self-occlusion.
Lipson Hod
Ly Daniel L.
Saxena Ashutosh
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