  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.
