Real-time 3D Hand Pose Estimation with 3D Convolutional Neural Networks
基于三维卷积神经网络的实时三维手势估计 1 摘要 在本文中，我们提出了一种使用三维卷积神经网络（CNNs）从单深度图像进行实时三维手姿态估计的新方法。2D CNN提取的基于图像的特征由于缺乏3D空间信息，不适合直接进行3D手姿势估计。我们提出的基于3D CNN的方法，将手部深度图像的3D体积表示作为输入并从体积输入中提取3D特征，可以捕获手的3D空间结构并且在单通道中准确地回归全3D手部姿势。
相关文章
- 1. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)
- 2. DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
- 3. 手势估计- Hand Pose Estimation
- 4. paper 154：姿态估计（Hand Pose Estimation）相关总结
- 5. 【论文翻译】Semantic Graph Convolutional Networks for 3D Human Pose Regression
- 6. MVCNN:Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 7. End-to-end 3D face reconstruction with deep neural networks
- 8. 3D Convolutional Neural Networks for Human Action Recognition
- 9. ICCV2015_Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 10. 译：3D Convolutional Neural Networks for Human Action Recognition
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相关文章
- 1. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)
- 2. DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
- 3. 手势估计- Hand Pose Estimation
- 4. paper 154：姿态估计（Hand Pose Estimation）相关总结
- 5. 【论文翻译】Semantic Graph Convolutional Networks for 3D Human Pose Regression
- 6. MVCNN:Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 7. End-to-end 3D face reconstruction with deep neural networks
- 8. 3D Convolutional Neural Networks for Human Action Recognition
- 9. ICCV2015_Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 10. 译：3D Convolutional Neural Networks for Human Action Recognition