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COMP 4102A: Introduction
to Computer Vision
Winter 2014
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Instructor:
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Dr. Gerhard Roth, gerhardroth@rogers.com, gerhardroth@cmail.carleton.ca
www.scs.carleton.ca/~roth/
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TA:
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Nathan Bell, nathanbell@cmail.carleton.ca
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Lectures: Wednesday and Friday, 4:05pm - 5:25pm, 403 Southam Hall
My Office hours: Wednesday and Friday, 2:30pm - 4:00pm, 5331 HP
TA Office hours: Wednesday and Thursday, 1:50pm - 3:50pm, 1170 HP
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 and give them to you an a DVD.
Software: You will need to use OpenCV. It runs on Windows and Linux,you can put it on your computer. I will give you a DVD with OpenCV.
Tutorials
- A simple example for
reading, displaying, converting to grayscale image, using OpenCV and C. The C code display_image.cpp
and the JPEG image fruits.jpg
can be downloaded.
- A Hough transform demo can
be found here.
Marks
Two midterms, one right before reading week, second at end of term; each in class, and each worth 30%, the assingments are 40%.
Assignments
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Lectures
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Topics
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Notes
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Readings - Sections in Book Handout
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Jan. 8,
2014-Version 1
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Introduction
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pdf
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Ch. 1
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Jan.
10, 2014-Version 1
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Review Linear Algebra
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pdf
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Jan.
15, 2014-Version 1
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Image Formation
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pdf
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2.1, 2.2, 2.3.1
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Jan.
17, 2014-Version 1
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Camera Models
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pdf
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2.4
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Jan.
22, 2014-Version 1
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Filtering I (getting to know images)
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pdf
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3.1
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Jan.
24, 2014-Version 1
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Filtering II (Gaussian and impulsive noise models, convolution)
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pdf
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3.2 (skip 3.2.3)
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Jan.
29, 2014-Version 1
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Filtering III (Gaussian and median filters), Image Features
I (image gradient)
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pdf,ch4_scan.pdf
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4.1
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Jan.
31, 2014-Version 1
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Image Features I (edge detection)
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pdf
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4.2.1, 4.2.3
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Feb. 5,
2014-Version 1
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Image Features II (corner detection)
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pdf
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4.3
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Feb. 7,
2014-Version 1
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Image Features III (Hough transform)
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pdf
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5.1, 5.2.1
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Feb.
12, 2014
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Review1
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Feb.
14, 2014
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Mid-term 1
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Feb.
19, 2014
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Break week
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Feb.
21, 2014
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Break week
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Feb
26, 2014-Version 1
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Camera calibration
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pdf
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Chapter 6, excluding section 6.2
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Feb
28, 2014-Version 1
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Homography
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pdf
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March
5, 2014-Version 1
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Simple stereo
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pdf,
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7.1
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March
7, 2014-Version 1
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Correspondence
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pdf
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7.2
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March 12, 14, 19, 2014-Version 1
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Epipolar geometry
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pdf,
Compare MultiView
pdf,
epipolar
geometry applet,
view
fund mat
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7.31 to 7.36
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March
21, 2014-Version 1
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Rectification
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pdf
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7.37
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March
26, 2014-Version 1
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Reconstruction
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pdf
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7.4
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March
28, 2014-Version 1
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Active Vision
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pdf
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April
2, 2014
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Review2
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April
4, 2014
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Midterm 2
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