Correcting Pose Estimation with Implicit Occlusion Detection and Rectification
Recently, articulated pose estimation methods based on the pictorial structure framework have received much attention in computer vision. However, the performance of these approaches has been limited due to the presence of self-occlusion. This paper deals with the problem of handling self-occlusion in the pictorial structure framework. We propose an exemplar-based framework for implicit occlusion detection and rectification. Our framework can be applied as a general post-processing plug-in...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings - International Conference on Pattern Recognition|
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