E1 216 : Computer Vision 3:1
(Jan - Apr 2015)
| Course Instructors
Prof. K. R. Ramakrishnan
|| Email ID
|| krr [at] ee [dot] iisc [dot] ernet [dot] in
|| Room No: 218A, Electrical Department, IISc.
|| 2293 2441 and 2293 2572
| Course Timings
|| Monday & Wednesday - 2:00PM to 3:30PM
|| PE - 218, Electrical Department
|| Knowledge of MATLAB and OpenCV
Camera Calibration Lecture Slides posted
This course will present a broad, introductory survey intended to develop familiarity with the approaches to modeling and solving problems in computer vision. Mathematical modeling and algorithmic solutions for vision tasks will be emphasised. Image formation: camera geometry, radiometry, colour; Image features : points, lines, edges, contours, texture; Shape : object geometry, stereo, shape from cues; Motion : calibration, registration, Multiview geometry, optical Flow; approaches to grouping and segmentation; representation and methods for object recognition; applications
1) David A. Forsyth and Jean Ponce, Computer Vision: A Modern Approach, Pearson Education, 2003
2) Richard Szeliski, Computer vision: algorithms and applications. Springer, 2010.
3) Richard Hartley and Andrew Zisserman. Multiple view geometry in computer vision. Cambridge university press, 2003.
4) Current Literature
5) Resources and Links Page of Forsyth and Ponce textbook
Lectures and Handouts
Lecture Series 3:
Slides and Other Materials
- Chapter 2 of Forsyth and Ponce
- Lecture Slides of Dr. Venu Madhav Govindu, EE, IISc.
- Jim Bethel's notes on Rotation Matrices: CE503 - Photogrammetry I
- Prof. Trevor Darrell's lecture slides on Image Formation, Computer Vision (CS280), UCB
Note: The links in the slides work only when the other documents are present in the same folder. So kindly ensure the slides and the other two documents are placed in the same folder.
Lecture Series 4 - Stereo:
- Slides on Epipolar Geometry from CS143 Introduction to Computer Vision by Michael J. Black, Brown University
Lecture Series 5 - Camera Calibration:
- Slides on Camera Calibration by Dr. Venu Madhav Govindu, EE, IISc.
- Rusinkiewicz, Szymon, and Marc Levoy. "Efficient variants of the ICP algorithm." 3-D Digital Imaging and Modeling, 2001. Proceedings. Third International Conference on. IEEE, 2001.
- Umeyama, Shinji. "Least-squares estimation of transformation parameters between two point patterns." IEEE Transactions on pattern analysis and machine intelligence 13.4 (1991): 376-380.
Homework and Assignments