Computer vision is the process of automatically extracting information
from images and video. This course covers imaging geometry (camera
calibration, stereo, and panoramic image stitching), and algorithms for
video surveillance (motion detection and tracking), segmentation and
object recognition. Final projects for the course will explore
challenges in analysis of real-world data. Students with non-standard
backgrounds (such as video art, or the use of imaging in physics and
biology) are encouraged to contact the instructor. Projects in the
course will utilize the C++ programming language. Prerequisites: CSE
241 and linear algebra.
Four coding projects will utilize the C++ programming language and
students should have knowledge and experience of C/C++ programming.
Java is very similar to C/C++, and Java users are encouraged to take a
look at the first coding project, which is already open. The final
project can be of any programming language.
- 4 coding projects (15% x 4)
- Final project report (35%)
- Final project presentation (5%)
TextbookThere is no required textbook for the course. However, the course material closely follows a free online textbook Computer Vision: Algorithms and Applications by Richard Szeliski for the most lectures.
Announcement, Questions and Discussion
We will use Google Groups for announcement, questions and discussion. Here is the link. It is your responsibility to read all the emails posted on the groups carefully. Important announcements will be given there. Please join the group. We have used this group for the previous course offerings, and you can benefit from questions and answers in the past.
For a late submission, penalty of 10% score reduction per 2 hours is applied. If one submits an assignment within 2 hours after the deadline, the score becomes 90%. Within 4 hours, 80%. Within 6 hours, 70% and so on.
Integrity You are encouraged to talk about and discuss
coding assignments and projects with your class-mates. You are allowed
to use existing code/library (e.g., optimization library or vector
calculus library), in which case, you have to explicitly describe it
in your report. Besides the above case, every single line of code
must be written by you, and you are not allowed to copy from other
sources. Writing the code by exactly or closely following existing
code is not technically copy-and-paste, but is also considered to be
copy-and-paste. Use your fair judgement. You know what is good and bad.
When in doubt, consult the instructor. You are expected to maintain the
highest standards of academic integrity and refrain from the forms of