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3d Convolutional Neural Networks For Efficient And Robust Hand Pose Estimation From Single Depth Images

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017)(2017)

Cited 355|Views126
Key words
3D data augmentation,3D CNN based approach,single GPU,robust hand pose estimation,single depth images,3D spatial information,3D volumetric representation,hand depth image,3D spatial structure,3D convolutional neural networks,2D CNN,real-time hand pose estimation,image based feature extraction,3D CNN,hand pose datasets
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