Titlebook: Computer Vision Systems; 9th International Co Mei Chen,Bastian Leibe,Bernd Neumann Conference proceedings 2013 Springer-Verlag Berlin Heide

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FACTS - A Computer Vision System for 3D Recovery and Semantic Mapping of Human Factorsptor matching methodologies for the 3D modeling, localization and fully automated annotation of ROIs (regions of interest) within the acquired 3D model. This methodology brings new potential into automated processing of human factors, opening new avenues for attention studies.

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Model-Based Pose Estimation for Rigid Objectsse initialization and convergence. Furthermore, it is extendable to multiple cameras without the need to perform multi-view matching and relies on sparse structure from motion techniques for the construction of object models offline. Experimental results demonstrate its accuracy and robustness.

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A New Hierarchical Method for Markerless Human Pose EstimationIn order to gain the robust results, we discard the interior voxel data, use the middle voxel data for motion tracking, and use the surface voxel data for global optimization. The experiment results show that the method is valid and robust.

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