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COMP 4102A: Introduction to Computer Vision Winter 2013 |
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Instructor: |
Gerhard |
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TA: |
Nathan |
Lectures: Wednesday and Friday,
My Office hours: Wednesday and Friday,
TA Office hours: Tuesday,
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 Ch. The C code color2gray.c and the JPEG image fruit.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