Learning pose variations within shape population by constrained mixtures of factor analyzers

7 Jun 2020Xilu Wang

Mining and learning the shape variability of underlying population has benefited the applications including parametric shape modeling, 3D animation, and image segmentation. The current statistical shape modeling method works well on learning unstructured shape variations without obvious pose changes (relative rotations of the body parts)... (read more)

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