COMP37212: Computer Vision

Lectures schedule

Date Lecture Resources
Monday27/01/14 General Introduction - Computer Vision is not Image Processing slides
Friday31/01/14 Quick review of digital images up to thresholding
Monday03/02/14 Binary Images, blobs, erosion & dilation
Friday07/02/14 Binary Processing, mathematical morphology
Monday10/02/14 Edge Detection & Convolution
Friday14/02/14 Hough Transform for Lines and Circles
Monday17/02/14 Segmentation, EM
Friday21/02/14 Advanced Features, Harris corner detector
Monday24/02/14 SIFT, bag of features, classificiation
Friday28/02/14 Classification, object detection
Monday03/03/14 Faces & Viola-Jones
Friday07/03/14 Why models, snakes
Monday10/03/14 Eigenfaces and Eigenpatches
Friday14/03/14 SSMs
Monday17/03/14 ASMs
Friday21/03/14 Parts-based models, learn linear regression, appearance, constellation of features
Stereo & Motion
Monday24/03/14 Stereo I
Friday28/03/14 Stereo II
Monday31/03/14 Further Stereo & Motion I
Friday04/04/14 Tracking I
Monday28/04/14 Tracking II
Friday02/05/14 Registration

Text books

Core texts

  1. Ramesh Jain, Rangachar Kasturi, and Brian G. Schunck., Machine vision, McGraw-Hill, 1995, ISBN: 0070320187
  2. David A. Forsyth and Jean Ponce., Computer Vision: a Modern Approach, Prentice Hall, 2002, ISBN: 0130851981

Supplementary texts

  1. Gonzalez, Rafel C. and Richard E. Woods., Digital image processing (3rd edition), Addison-Wesley, 2008, ISBN: 9780135052679
  2. Low, Adrian., Introductory computer vision and image processing, McGraw-Hill, 1991, ISBN: 0077074033
  3. Sonka, Milan, Vaclav Hlavac, and Roger Boyle., Image processing, analysis and machine vision (3rd edition), Nelson Engineering, 2007, ISBN: 9780495244387