Homologous Mesh Extraction via Monocular Systems

Pose estimation of humanoid objects in monocular systems is a non-trivial problem that has been at the forefront of the human-computer interaction field. The ability for a computer to not only to detect the presence of a humanoid shape within an image but also to infer relative location and configuration has particular use for many applications. We explore a novel approach to solving this task by introducing a multi-stage preprocessing algorithm and a constrained pose estimator.

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