MODEC: Multimodal Decomposable Models for Human Pose Estimation

We propose a multimodal, decomposable model for articulated human pose estimation in monocular images. A typical approach to this problem is to use a linear structured model, which struggles to capture the wide range of appearance present in realistic, unconstrained images... (read more)

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