lihi -at- ee.technion.ac.il
Office: Meyer 959
Office hours: Upon request by email
This course will deal with methods for analyzing and interpreting the contents of images and video, by reviewing existing state-of-the-art approaches and algorithms. The methods will be explored through their usage in real-world applications such as visual summarization of video clips, special effects in movies or search in visual data bases such as YouTube.
Topics that will be explored: feature detection in video, motion estimation, video mosaics, video synthesis, recognizing objects, detecting people and action recognition.
In this course you will
Learn basic concepts in image and video analysis
Read state-of-the art academic papers
Implement published work and test it
Learn how to build an “executive summary” presentation of a scientific idea
Evaluate prior art
Propose your own solutions
A bunch of things you want to know.
A good working knowledge of Matlab
Any previous exposure to computer vision, machine learning, applied probability, and/or image processing will be an asset.
Please feel free to contact me if you have any concerns about whether or not you should take this course.
Optional: Forsyth & Ponce, Computer Vision: A Modern Approach, Pearson, 2002, ISBN 0130851981
Email List: Please send me an email asking to be added to the distribution list.
I will use emails to for updates/corrections/information.
The grade is based on a programming project and its presentation.