Computer Vision and Augmented Reality

2. Introduction of Visual SLAM, Structure from Motion and Multiple View Stereo (slides);

3. Scene Reconstruction with RGB-D Data (slides);

4. CDVS, Deep Learning, Augmented Reality and 5G Network (slides);

5. VR, AR and MR (slide);

6. Dynamic mapping for SLAM (slide);

7. Semantic SLAM (slide);

Semantic SLAM II (slide);

8. Depth fusion from Lidar and RGB cameras (without deep learning) (slide)；

9. VIO and VI-SLAM (slide).