Hand PointNet: 3D Hand Pose Estimation Using Point Sets

CVPR 2018 Liuhao GeYujun CaiJunwu WengJunsong Yuan

Convolutional Neural Network (CNN) has shown promising results for 3D hand pose estimation in depth images. Different from existing CNN-based hand pose estimation methods that take either 2D images or 3D volumes as the input, our proposed Hand PointNet directly processes the 3D point cloud that models the visible surface of the hand for pose regression... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
Hand Pose Estimation HANDS 2017 Oasis Average 3D Error 11.30 # 4

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