CPSC 535 - Fall 2014:

Computer Vision

Instructor	Dr. J. E. Boyd
	Department of Computer Science
	University of Calgary
	2500 University Drive NW
	Calgary Alberta Canada T2N 1N4
	Email: boyd at cpsc ucalgary ca
	Office: ICT 711
	Office hours: T 1100-1200, R 1230-1330h
	Lectures: TR 0930-1045 in ST 059

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Selected Course Material

Course Information Sheet/Outline

• Download here

Textbook

Instead of a textbook, we will use a variety of source available freely on-line, and the occasional handout.

Grading

Assignments	40%
Midterm exam	30%
Final exam	30%

Outline

Week	Topic	Suggested Reading
1	Introduction	Szeliski 1
1-2	Octave	http://www.octave.org
2-3	Fourier Analysis	Szeliski 3.4, Moik 2.6
3	Sampling/Resampling	Szeliski 3.5, Moik 3.3.2
4	Binary Image Processing	Szeliski 3.3
5	Image Processing	Szeliski 3
6	Edges/Corners	Szeilski 4
6	SIFT	Szeliski 4.1
7	Pixel Matching	Szeliski 3, Szeliski 4
8	Optical Flow	Szeliski 8
9	Image Registration	Szeliski 8
10	Camera Calibration	Szeliski 6
11-13	Assorted topics that may include tomography, boosting, stereo vision, and image compression	TBD
13	Final Exam Review

Important Dates

10-Sep-2014	First class
0900h 22-Sep-2014	Assignment 1 due
0900h 14-Oct-2014	Assignment 2 due
23-Oct-2014	Midterm exam in class
0900h 03-Nov-2014	Assignment 3 due
2359h 19-Nov-2014	Assignment 4 due	** revised
2359h 05-Dec-2014	Assignment 5 due	** revised
1200h 13-Dec-2014	Final exam (EEEL 345)

1300-1500h 12-Dec-2014

Pre-exam office hours (ICT 711)

Assignments

Hand in assignments to the TA.

• Assignment 1 - Introduction to Octave/Matlab (files)
  • Use cat.pgm and pnmread.m in links below.
• Assignment 2 - select one
  • Assignment 2a - Discrete Fourier Transforms (sample.pgm, mvc-001f.bmp)
  • Assignment 2b - Inverse Filtering (files)
• Assignment 3 - select one
  • Assignment 3a - Binary Image Processing (files)
  • Assignment 3b - Seam Carving (boat.jpg)
• Assignment 4 - select one
  • Assignment 4a - Camera Calibration, Triangulation (files, Linux Makefile)
  • Assignment 4b - Image Registration, Image Mosaics (files, extra example)
• Assignment 5 - select one
  • Assignment 5a - Stereo Vision (files)
  • Assignment 5b - Coin Counting (files)

Examples

• Octave/Matlab stuff
  • pnmread.m
  • pnmwrite.m
  • pngread.m
• convolution/dft
  • convolutiondemo1.m
  • convolutiondemo2.m
  • washington2.pgm
• resampling
  • im.000001.pgm
  • resamplenn.m
  • resamplenndemo.m
  • resample.m
  • resampledemo.m

Links

• Computer Vision Books
  • CVonline - Compendium of Computer Vision
  • R. Szeliski, Computer Vision: Algorithms and Applications.
  • D.H. Ballard, C.M. Brown; Computer Vision , Prentice-Hall Inc New Jersey , 1982 , ISBN 0-13-165316-4 .
  • D. Phillips; Image Processing in C: Analyzing and Enhancing Digital Images, Rand Publications, 1994.
  • D. Vernon; Machine Vision : Automated Visual Inspection and Robot Vision, Prentice Hall, 1991, ISBN 0-13-543398-3.
  • I.T. Young, J.J. Gerbrands, L.J. van Vliet; Image Processing Fundamentals , Online book.
  • J. G. Moik, Digital processing of remotely sensed images, NASA, 1980.
  • A. Kak and M. Slaney, Principles of Computerized Tomographic Imaging
• Mathworld , a useful math reference.
• Matlab and Octave
  • Mathworks, vendors of Matlab.
  • Octave
  • GNU Octave Repository
  • Peter Kovesi's MATLAB and Octave Functions for Computer Vision and Image Processing (includes Harris corner detector and lots of other useful stuff).
  • Some Matlab Tutorials:
    • math.utah.edu
    • sr.unh.edu
  • code
    • pnmread.m
    • pnmwrite.m
    • pngread.m
• Gait biometrics notes
• A useful resource on The Kalman Filter
• David Lowe's SIFT Demo
• Linear algebra and least squares notes.

Exam Practice Questions

• Midterm
• Final