AID-565, Computer Vision
Instructor: Balasubramanian Raman
Other Instructors: Sanjeev Kumar
and Sparsh Mittal
Office: S-227, CSE Building
Class Meeting Time: Mondays, Tuesdays (10:00-10:55 am), Thursdays (9:00-9:55 a.m).
Class Room: Microsoft Teams
Office Hours: Wednesdays, Fridays 11:00 a.m. - 1:00 p.m.
and by appointment
TAs: Gaurav Bhardwaj, Puneet Kumar and Phoolpreet
Email: first four letters of first name at cs dot ac dot in
April 24, 2022: End Term Examinations.
March 17, 2022: Assignment 3 has been uploaded.
March 10, 2022: Mid-Term Marks have been uploaded.
March 02, 2022: Mid-Term Examinations.
February 17, 2022: Assignment 2 has been uploaded.
February 10, 2022: Assignment 1 has been uploaded.
February 03, 2022: Second session of classes have begun (13 lectures by R. Balasubramanian).
Course Objectives, Learning Outcomes and Prerequisites
To provide a glimpse of what computer vision is about
To give an understanding of image processing for computer vision
To know about Image formation and camera calibration
To impart the knowledge on Feature detection and matching
After completing the course you will be able to:
identify basic concepts, terminology, theories, models and methods in the field of computer vision,
describe known principles of human visual system,
describe basic methods of computer vision related to multi-scale representation, edge detection and detection of other primitives, stereo, motion and object recognition,
suggest a design of a computer vision system for a specific problem
- Term tests/quizzes (10%)
- Assignments + Practical (10%)
- Class participation (5%)
- Mid-Term Examination (20-30%)
- End Term Examination (40-50%)
01. Assignment 1
(Posted on 10/02/2022, due on 24/02/2022)
02. Assignment 2
(Posted on 17/02/2022, due on 04/03/2022)
03. Assignment 3
(Posted on 17/03/2022, due on 31/03/2022)
- There will be two to three assignments.
- Late assignments will be accepted, with a 10% penalty per day, up to five days.
- Submission procedure and other requirements will be stated in individual assignments.
- Students are responsible for backing up and protecting their work.
Recommended Study Material
The following will be used as a reference/text book for this course:
1. Forsyth, D. A. and Ponce, J., "Computer Vision: A Modern Approach",Prentice Hall, 2nd Ed, 2011.
2. Gonzalez, R. C. and Woods, R. E., "Digital Image Processing",
Prentice Hall, 3rd Ed., 2009.