COMP 4900D: Introduction to Computer Vision Winter 2011 |
Instructors: |
Gerhard |
Lectures: Tuesday and Thursday,
My Office hours: Tuesday and Thursday,
The TA is Hamed Zaboli. His office hours are Tuesday from 1:00 to 2:30 in room 1175 HP.
He also has an office in the university in 6210B VSIM building if you need to contact him outside the office hours.
Course Outline
This course introduces the basic ideas and techniques of computer vision. The central theme is reconstructing 3D models from 2D images. Topics include: image formation, image feature extraction, camera models, camera calibration, structure from motion, stereo, recognition, augmented reality, image searching.
Prerequisite: basic linear algebra and calculus, programming in C or C++.
Textbook: The textbook that I used is out of print. I will produce notes that cover the same material.
Software: You will need to use OpenCV. It runs on Windows and Linux,you can put it on your computer.
Tutorials
Marks
Two midterms, one close to reading week, second at end of term; each in class, and each worth 25%, the assingments are 50%.
Assignments
There will be four of five assignments
Schedule
Lectures |
Topics |
Notes |
Readings |
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Introduction |
Ch. 1 |
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Review Linear Algebra |
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Image Formation |
2.1, 2.2, 2.3.1 |
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Camera Models 1st assignment out |
2.4 |
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Filtering I (getting to know images) |
3.1 |
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Filtering II (Gaussian and impulsive noise models, convolution) |
3.2 (skip 3.2.3) |
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Filtering III (Gaussian and median filters), Image Features I (image gradient) |
4.1 |
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Image Features I (edge detection) |
4.2.1, 4.2.3 |
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Image Features II (corner detection) |
4.3 |
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Image Features III (Hough transform), 1st assignment due |
5.1, 5.2.1 |
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Feb. 8, 2011 |
Image Features IV (ellipse fitting), 2nd assignment out |
5.3 |
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Camera calibration |
Chapter 6, excluding section 6.2 |
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Review1 |
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Mid-term 1 |
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Break week |
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Break week |
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Homography, 2nd assignment due (March 1) and the 3rd assignment out |
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Simple stereo |
pdf, |
7.1 |
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Correspondence |
7.2 |
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March 10, |
Epipolar geometry |
7.31 to 7.36 |
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Rectification, |
7.37 |
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Reconstruction |
7.4 |
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Appearance Recognition 3rd assignment due |
10.4 |
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Review2 |
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Midterm 2,4th assignment due |
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