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

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Transcript of Introduction to Computer and Human Vision Shimon Ullman, Michal Irani Assistants: Shai Bagon Ira...

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/CVSpring08/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 “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 VisionFebruary 24 Intro to HumanVision ShimonMarch 2 X March 9 Fourier 1 MichalMarch 16 XMarch 23 Fourier 2 MichalMarch 30 Geometry 1 YaronApril 6 Geometry 2 YaronApril 13 Stereo AlexApril 20 Pesach April 27 Motion 1 Michal May 4 Motion 2 + Video 1 MichalMay 11 Recognition 1 ShimonMay 18 Video 2 Michal May 25 Recognition 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 ImageOriginal video clip

Generated Mosaic image

Original

Outliers

Original

Synthesized

Video Removal

Image Segmentation

Image Segmentation

Photometric Stereo

Photometric Stereo