SLAM论文笔记---- DENAO: Monocular Depth Estimation Network with Auxiliary Optical Flow
SLAM论文笔记第一篇。 DENAO: Monocular Depth Estimation Network with Auxiliary Optical Flow 顾名思义是带有辅助光流的单目视觉深度估计网络。 与之前工作的比较： 1.传统的ORB-SLAM难以的到稠密的深度图，LSD-SLAM也只是得到半稠密深度图，DENAO采用深度学习方法得到稠密光流图，结合相机位姿，利用三角测量得到稠
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相关文章
- 1. Unsupervised Monocular Depth Estimation With Left-Right Consistency 论文笔记
- 2. CVPR2017 Oral【论文笔记】Unsupervised Monocular Depth Estimation with Left-Right Consistency
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- 4. 论文笔记-Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network
- 5. 2018 IROS【论文笔记】Towards real-time unsupervised monocular depth estimation on CPU
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- 10. FlowNet 2.0 Evolution of Optical Flow Estimation with Deep Networks