Introduction to Computer and Human Vision Shimon Ullman, Ronen Basri, Michal Irani Assistants: Mica Arie-Nachimson Denis Simakov.

Introduction to Computer and Human Vision

Shimon Ullman, Ronen Basri, Michal Irani

Assistants:

Mica Arie-Nachimson <mica@weizmann.ac.il>

Denis Simakov <denis.simakov@weizmann.ac.il>

Misc... Course website:

www.wisdom.weizmann.ac.il/~mica/CVfall05

To be added to course mailing-list:

Send email to Mica <mica@weizmann.ac.il>

Other recommended courses (for credit):

Basic Topics I

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 “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