in Computer Vision
Course Web Page:
Dr. Rita Osadchy
e-mail: rita [at]cs
Office: Jacobs 410
During this course you are expected to proposed, implement,
and present a graduate level project in Computer Vision. Every team (a pair)
will suggest a project (subject to my approval) and will submit a project proposal.
At the end of the course each team will be required to submit a project report and give a short presentation.
You will be required to show the source code you wrote and explain its
End of the Semester
Prepare 15 min. presentation describing your project. Your proposal should
answer the following questions:
- Deliverable (what result will
you show when the project is completed, during your final presentation).
- Description of problem.
- Approach to solving the
problem (please give approximate milestones for the remaining time).
presentation will be given in class for all students.
Your project report should address the following:
- Participants and title
- Description of the problem.
- Description of the approach
- Analysis of the results
(This is the most important section of the report. How well did your approach
work? What issues did you encounter? How did you address them? What should
be done differently or carried further if you were to do more work on this
Presentations will last about 30 minutes. Your presentation should cover the
material in your project report, but in a suitable form for a talk. It should
briefly describe the problem and approach, present the results, and then
present the analysis of the results. The
presentation should be in ppt or pdf format.
- You are required to propose
your own project (subject to my approval).
- The source code will be
checked for plagiarism.
- Note that the purpose of the project is
developing and implementing computer vision algorithms and not building
- Ideas for projects can be found in:
to researches in computer vision and machine learning: Rita Osadchy, Hagit Hel-Or,
Danny Feldman, Ilan Shimshoni
any other source that you can find.