Introduction to Computer and Human Vision Shimon Ullman, Ronen Basri, Michal Irani, Yaron Caspi Assistants: Shai Bagon Shira Kritchman

Misc...  Course website:  To be added to course mailing-list: Send to Shai:  Other recommended courses (for credit): Basic Topics (I+II), Machine Learning, Information Theory, Probabilistic Graphical Models.  Vision & Robotics Seminar (not for credit): Thursdays at 12:00-13:00 (Ziskind 1) Send 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)

Lesson 11 (Shimon): Human Vision II Lessons 2-3 (Michal): Basic Image Processing (Fourier, Convolution) Lessons 4-7 (Ronen+Yaron): Stereo, Matching, and Structure from Motion Tentative Schedule Lessons 8-9 (Michal): Motion and video analysis Lesson 10 (Ronen): Image Segmentation Lesson 12 (Ronen): Photometry Lesson 13 (Shimon): Object recognition  2-3 programming exercises (MATLAB) -- CAN SUBMIT IN PAIRS  3 theoretical exercises -- MUST SUBMIT INDIVIDUALLY  EXAM Lesson 1 (Shimon): Human Vision I Homework: Read introductory material (Basic image operations)

Panoramic Mosaic Image Original video clip Generated Mosaic image

Original Outliers Original Synthesized Video Removal

Image Segmentation

Photometric Stereo