Course on the Geometry of Computer Vision

 

Tomas Pajdla

Czech Institute of Informatics, Robotics and Cybernetics

Czech Technical University in Prague

Course program

2018-06-26

·      L1 (16:30-18:00): Perspective camera model [GVG 6.1. p. 32-38, 6.2 p. 38-40] and calibration [GVG 7.1 p. 42-46, paragraph 2 p. 48-50].

·      L2 (18:15-19:00): Homography between two images [GVG 8.1. p. 60-62, 8.2. p. 64-67, 8.4. 74-75]

·      T1 (19:15-20:00): Projection and homography

2018-06-27

·      C1 (14:00-14:30): T1 review

·      L3 (14:30-15:30): Epipolar geometry and camera motion [GVG 12.1. p. 113-116, 12.2. p. 116-117, SVD]

·      L4 (15:45-16:30): 3D Reconstruction [GVG 12.3. p. 118, 12.4. p. 118-121]

·      H1 (16:30-17:00): Homework assignment

·      T2 (17:15-18:00): Epipolar geometry and 3D reconstruction

Homework

Pokemon [data], Panorama (All assignments of the CTU course)

Full Course www

Geometry of Computer Vison and Graphics @ CTU in Prague

Text book

T. Pajdla. Elements of Geometry for Computer Vision

Slack

https://ucu-datascience.slack.com/messages/GAGP7KD52/

Evaluation

https://drive.google.com/open?id=1799iy3rzkH8b2f4D89i37nCDK8OnOI9JHhgIcA6Wk6w