Introduction to Computer and Human Vision Shimon Ullman
- Slides: 14
Introduction to Computer and Human Vision Shimon Ullman, Michal Irani Assistants: Shai Bagon <shai. bagon@weizmann. ac. il> Ira Kemelmacher <ira. kemelmacher@weizmann. ac. il> Sharon Alpert <sharon. alpert@weizmann. ac. il>
Misc. . . · Course website: www. wisdom. weizmann. ac. il/~bagon/CVSpring 08/index. html · To be added to course mailing-list: Send email to Shai: <shai. bagon@weizmann. ac. il> · Other recommended courses (for credit): Basic Topics (I+II), Machine Learning and Data Analysis · Vision & Robotics Seminar (not for credit): Thursdays at 12: 00 -13: 00 (Ziskind 1) Send email <leah. mory@weizmann. ac. il> ask to be added to “seminar 13” mailing list
Applications: · How is an image formed? QA - Manufacturing and inspection; (geometry and photometry) - Robot navigation - Autonomous vehicles · How and is anmonitoring image represented? - Security - Digital libraries; image/video · What kind of operations search/indexing can we apply to images? - Object/person recognition - Medical Applications · What do images - Visualization; NVS tell us about the world? - Visual communication (analysis - Guiding tools&forinterpretation) blind
Tentative Schedule Lesson 124 (Shimon): to Human Vision February Intro to. Intro Human. Vision Shimon March 2 2 -3 (Michal): X Lessons Basic Image Processing (Fourier, Convolution) March 9 4 -6 (Yaron+Alex): Fourier 1 Michal Lessons Projective Geometry, Stereo, 3 D Structure March 16 X Lessons 7, 8, 10 (Michal): Motion estimation and video analysis March 23 Fourier 2 Michal Lessons Object March 30 9, 11 (Shimon): Geometry 1 recognition Yaron April 6 Geometry 2 Yaron April 13 Stereo Alex April 20 Pesach April 27 Motion 1 Michal May 4 Motion 2 + Video 1 Michal May 11 Recognition 1 Shimon May 18 Video 2 Michal May 25 Recognition 2 Shimon
Requirements · 2 -3 programming exercises (MATLAB) -· 3 theoretical exercises -- CAN SUBMIT IN PAIRS MUST SUBMIT INDIVIDUALLY · EXAM or FINAL PROJECT (to be determined later in the course) Homework: Read introductory material (Basic image operations)
Panoramic Mosaic Image Original video clip Generated Mosaic image
Video Removal Original Outliers Synthesized
Image Segmentation
Image Segmentation
Photometric Stereo
Photometric Stereo
Shimon kepha
Structured light
Perioheral model
Assumptions of multiple nuclei model
Hoyt sector model
Urban realms model
Harris ullman multiple nuclei model
Top man james ramsey ullman
Pola keruangan desa
Ullman algorithm
Harris ullman multiple nuclei model
Montague ullman
Ullman turing
Top man by james ramsey ullman
Ullman's levels of reflection
