Introduction to Computer and Human Vision
Shimon Ullman, Ronen Basri, Michal Irani
Assistants:
Mica Arie-Nachimson <[email protected]>
Denis Simakov <[email protected]>
Misc... Course website:
www.wisdom.weizmann.ac.il/~mica/CVfall05
To be added to course mailing-list:
Send email to Mica <[email protected]>
Other recommended courses (for credit):
Basic Topics I
Vision & Robotics Seminar (not for credit): Thursdays at 12:00-13:00 (Ziskind 1)
Send email <[email protected]> ask to be added to “seminar13” mailing list
Applications:- Manufacturing and inspection; QA- Robot navigation- Autonomous vehicles- Guiding tools for blind- Security and monitoring- Object/face recognition; OCR.- Medical Applications- Visualization; NVS- Visual communication- Digital libraries and video search- Video manipulation and editing
How is an image formed? (geometry and photometry)
How is an image represented?
What kind of operations can we apply to images?
What do images tell us about the world? (analysis & interpretation)
Lessons 2-3 (Michal): Basic Image Processing (Fourier, Convolution)
Lessons 4-6 (Ronen): Stereo and Structure from Motion
Tentative Schedule
Lessons 7-8 (Michal): Motion and video analysis
Lesson 10 (Ronen): Image Segmentation
Lesson 11 (Ronen): Photometry
Lesson 12 (Shimon): Object recognition
3 programming exercises (MATLAB) -- CAN SUBMIT IN PAIRS
3 theoretical exercises -- MUST SUBMIT INDIVIDUALLY
EXAM -- Sunday, February 19, 2006.
Lesson 1 (Shimon): Human Vision I
Lesson 9 (Shimon): Human Vision II
Homework: Read introductory material (Basic image operations)
Panoramic Mosaic ImageOriginal video clip
Generated Mosaic image
Original
Outliers
Original
Synthesized
Video Removal
Image Segmentation
Image Segmentation
Photometric Stereo
Photometric Stereo