【论文阅读笔记】VNect: Real-time 3D human Pose Estimation with a Single RGB
论文总结： 文中方法比较简单，通过全卷积CNN预测一个heatmap及location map。location map实际上就是X, Y, Z三个方向的坐标图，找到关键点的过程为heatmap 中寻找照最大值(x, y)，则在对应的X, Y, Z找到对应位置的点，组成相对根节点的3D坐标。 由于这种3D pose估计是通过单帧进行的，无法考虑前后信息，无法在视频时间上保持动作的一致性，所
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相关文章
- 1. 【论文阅读笔记】How Robust is 3D Human Pose Estimation to Occlusion?
- 2. 论文阅读笔记(RF-pose)-Through-Wall Human Pose Estimation Using Radio Signals
- 3. 论文阅读: 3D Human Pose Estimation in the Wild by Adversarial Learning
- 4. 《Ordinal Depth Supervision for 3D Human Pose Estimation》-CVPR2018 论文阅读
- 5. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)
- 6. From Depth Data to Head Pose Estimation: a Siamese approach----论文阅读笔记
- 7. 《3D Gaze Estimation with a Single Camera without IR Illumination》论文阅读
- 8. 论文解读：3D Hand Shape and Pose Estimation from a Singl RGB Image
- 9. 【阅读笔记】Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation， AAAI 2020
- 10. 论文阅读理解 - Stacked Hourglass Networks for Human Pose Estimation