Computer Vision – Fundamentals of Human Vision Hanyang University Jong-Il Park.
Introduction to Computer and Human Vision
description
Transcript of Introduction to Computer and Human Vision
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Introduction to Computer and Human Vision
Shimon Ullman, Michal Irani
Assistants:
Shai Bagon <[email protected]>
Ira Kemelmacher <[email protected]>
Sharon Alpert <[email protected]>
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Misc... Course website:
www.wisdom.weizmann.ac.il/~bagon/CVSpring08/index.html
To be added to course mailing-list:
Send email to Shai: <[email protected]>
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 <[email protected]> ask to be added to “seminar13” mailing list
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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)
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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
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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)
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Panoramic Mosaic ImageOriginal video clip
Generated Mosaic image
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Original
Outliers
Original
Synthesized
Video Removal
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Image Segmentation
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Image Segmentation
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Photometric Stereo
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Photometric Stereo
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