Introduction to Computer and Human Vision Shimon Ullman, Michal Irani Assistants: Shai Bagon Ira Kemelmacher Sharon Alpert

Misc...  Course website:  To be added to course mailing-list: Send to Shai:  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 ask to be added to “seminar13” mailing list

Applications: - Manufacturing and inspection; QA - Robot navigation - Autonomous vehicles - Security and monitoring - Digital libraries; image/video search/indexing - Object/person recognition - Medical Applications - Visualization; NVS - Visual communication - Guiding tools for blind  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 (Yaron+Alex): Projective Geometry, Stereo, 3D Structure Tentative Schedule Lessons 7,8,10 (Michal): Motion estimation and video analysis Lessons 9,11 (Shimon): Object recognition Lesson 1 (Shimon): Intro to Human Vision February 24 Intro to HumanVision Shimon March 2 X March 9 Fourier 1 Michal March 16 X March 23 Fourier 2 Michal March 30Geometry 1 Yaron April 6 Geometry 2 Yaron April 13 Stereo Alex April 20Pesach April 27 Motion 1 Michal May 4Motion 2 + Video 1 Michal May 11 Recognition 1 Shimon May 18Video 2 Michal May 25Recognition 2 Shimon

Requirements  2-3 programming exercises (MATLAB) -- CAN SUBMIT IN PAIRS  3 theoretical exercises -- 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

Original Outliers Original Synthesized Video Removal

Image Segmentation

Photometric Stereo