OriNet: A Fully Convolutional Network for 3D Human Pose Estimation

12 Nov 2018Chenxu LuoXiao ChuAlan Yuille

In this paper, we propose a fully convolutional network for 3D human pose estimation from monocular images. We use limb orientations as a new way to represent 3D poses and bind the orientation together with the bounding box of each limb region to better associate images and predictions... (read more)

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