Pose Estimation from a Single Depth Image for Arbitrary Kinematic Skeletons
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1106.5341 شماره
صفحات -
تاریخ انتشار 2011