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Introduction to Computer and Human Vision Shimon Ullman, Ronen Basri, Michal Irani Assistants: Mica...

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Introduction to omputer and Human Visio mon Ullman, Ronen Basri, Michal I tants: Arie-Nachimson <[email protected]> Simakov <[email protected]
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Page 1: 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 <[email protected]>

Denis Simakov <[email protected]>

Page 2: Introduction to Computer and Human Vision Shimon Ullman, Ronen Basri, Michal Irani Assistants: Mica Arie-Nachimson Denis Simakov.

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

Page 3: Introduction to Computer and Human Vision Shimon Ullman, Ronen Basri, Michal Irani Assistants: Mica Arie-Nachimson Denis Simakov.

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)

Page 4: Introduction to Computer and Human Vision Shimon Ullman, Ronen Basri, Michal Irani Assistants: Mica Arie-Nachimson Denis Simakov.

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)

Page 5: Introduction to Computer and Human Vision Shimon Ullman, Ronen Basri, Michal Irani Assistants: Mica Arie-Nachimson Denis Simakov.
Page 6: Introduction to Computer and Human Vision Shimon Ullman, Ronen Basri, Michal Irani Assistants: Mica Arie-Nachimson Denis Simakov.

Panoramic Mosaic ImageOriginal video clip

Generated Mosaic image

Page 7: Introduction to Computer and Human Vision Shimon Ullman, Ronen Basri, Michal Irani Assistants: Mica Arie-Nachimson Denis Simakov.

Original

Outliers

Original

Synthesized

Video Removal

Page 8: Introduction to Computer and Human Vision Shimon Ullman, Ronen Basri, Michal Irani Assistants: Mica Arie-Nachimson Denis Simakov.

Image Segmentation

Page 9: Introduction to Computer and Human Vision Shimon Ullman, Ronen Basri, Michal Irani Assistants: Mica Arie-Nachimson Denis Simakov.

Image Segmentation

Page 10: Introduction to Computer and Human Vision Shimon Ullman, Ronen Basri, Michal Irani Assistants: Mica Arie-Nachimson Denis Simakov.

Photometric Stereo

Page 11: Introduction to Computer and Human Vision Shimon Ullman, Ronen Basri, Michal Irani Assistants: Mica Arie-Nachimson Denis Simakov.

Photometric Stereo

Page 12: Introduction to Computer and Human Vision Shimon Ullman, Ronen Basri, Michal Irani Assistants: Mica Arie-Nachimson Denis Simakov.
Page 13: Introduction to Computer and Human Vision Shimon Ullman, Ronen Basri, Michal Irani Assistants: Mica Arie-Nachimson Denis Simakov.

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