Leveraging Ordinal Regression With Soft Labels For 3D Head Pose Estimation From Point Sets

Head pose estimation from depth image is a challenging problem, considering its large pose variations, severer occlusions, and low quality of depth data. In contrast to existing approaches that take 2D depth image as input, we propose a novel deep regress
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