SLAM論文筆記---- DENAO: Monocular Depth Estimation Network with Auxiliary Optical Flow
SLAM論文筆記第一篇。 DENAO: Monocular Depth Estimation Network with Auxiliary Optical Flow 顧名思義是帶有輔助光流的單目視覺深度估計網絡。 與之前工作的比較： 1.傳統的ORB-SLAM難以的到稠密的深度圖，LSD-SLAM也只是得到半稠密深度圖，DENAO採用深度學習方法得到稠密光流圖，結合相機位姿，利用三角測量得到稠
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相關文章
- 1. Unsupervised Monocular Depth Estimation With Left-Right Consistency 論文筆記
- 2. CVPR2017 Oral【論文筆記】Unsupervised Monocular Depth Estimation with Left-Right Consistency
- 3. 論文筆記-Deep Ordinal Regression Network for Monocular Depth Estimation
- 4. 論文筆記-Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network
- 5. 2018 IROS【論文筆記】Towards real-time unsupervised monocular depth estimation on CPU
- 6. 論文筆記-深度估計(7)-CNN-SLAM Real-time dense monocular SLAM with learned depth prediction
- 7. 11.Unsupervised Monocular Depth Estimation with Left-Right Consistency
- 8. unsupervised learning of monocular depth estimation with bundle adjustment, Super-Resolution 論文
- 9. 論文筆記-Towards Scene Understanding-Unsupervised Monocular Depth Estimation
- 10. FlowNet 2.0 Evolution of Optical Flow Estimation with Deep Networks