论文笔记-深度估计(6)-Unsupervised Learning of Depth and Ego-Motion from Video
CVPR2017_Unsupervised Learning of Depth and Ego-Motion from Video 这是一篇从一段视频中恢复场景深度和相机pose的论文。 他可能是第一篇用深度学习的方法从一段视频中恢复camera的pose的方法，它用两个网络（严格意义上是3个网络，下文赘述）分别/独自无监督地估计单帧的深度，和视频序列中的camera的pose变化。最终得到的深度
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相关文章
- 1. CVPR 2017【论文笔记】Unsupervised Learning of Depth and Ego-Motion from Video
- 2. 《Unsupervised Learning of Depth and Ego-Motion from Video》论文笔记
- 3. Unsupervised Learning of Depth and Ego-Motion from Video论文见解
- 4. 论文笔记：Unsupervised Learning of Depth and Ego-Motion from Video（无监督深度预测系列4：PoseCNN方法）
- 5. Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
- 6. 论文笔记-深度估计(4) Semi-Supervised Deep Learning for Monocular Depth Map Prediction
- 7. 深度学习SLAM结合之google开源SFMLearner论文详解-Unsupervised Learning of Depth and Ego-Motion from Video
- 8. 单目深度估计 | Learning Depth from Monocular Videos using Direct Methods 学习笔记
- 9. 论文研读：2017 SfM Net Learning of Structure and Motion from Video
- 10. 论文笔记 之 Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow