Human Model Fitting from Monocular Posture Images
نویسندگان
چکیده
Marker-less motion capture systems usually rely on a 3D skin and skeleton model of the observed person. We present a system that is able to fit a template MPEG4 body model to a person from multiple views taken with a single camera. The person is observed in 6 different postures. Based on contour differences between model and person, a global nonlinear optimization method estimates the scale values of each body segment. Qualitative and quantitative results for different persons show, that a good fitting can be achieved in spite of the simple setup.
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