Hand3D: Hand Pose Estimation using 3D Neural Network

7 Apr 2017Xiaoming DengShuo YangYinda ZhangPing TanLiang ChangHongan Wang

We propose a novel 3D neural network architecture for 3D hand pose estimation from a single depth image. Different from previous works that mostly run on 2D depth image domain and require intermediate or post process to bring in the supervision from 3D space, we convert the depth map to a 3D volumetric representation, and feed it into a 3D convolutional neural network(CNN) to directly produce the pose in 3D requiring no further process... (read more)

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