Computer Vision

Note: The web page got partially wiped out on 5/5, so its been mostly reconstructed except for some of the images
for the assignments.
 

News:

• Problem Set 2 and other materials are available in Beckman 2027.

• Graded Final Exams are available with Sharon Collins in Beckman 2027.  You can look at your exam, but not remove it.  If you have any questions, don't hestitate to contact D. Kriegman

• Grades are posted to Gradebook

Book: Computer Vision: A Modern Approach, Forsythe, Ponce

Earlier draft which includes Cameras Chapter

• lecture3 - Image Formation I
• lecture4 - Image Formation II
• lecture5 - Radiometry
• lecture6 - BRDF and Lighting
• lecture7-Sources, Shadows, and Binary Images
• lecture8 - Binary Images
• lecture9 - Edges and filtering
• lecture10 - Marr-Hildreth Edge Detection
• lecture 11 - Canny Edge detector & Hough Transform
• lecture 12 - Fitting
• lecture 13 - Snakes and Region Segmentation
• lecture 14 - Graph cuts for Segmentation
• lecture 15 - Texture and Color
• lecture 16 - Color, Midterm review
• lecture 18
• lecture 19
• lecture 20
• lecture 21
• lecture 22
• lecture 23
• lecture 24
• lecture 25
• lecture 26
• lecture 27
• lecture 28

Assignments

• Problem Set 1
• Machine Problem 1
• Information on pgm format
• binary1.gif,binary1.tif, binary1.pgm
• binary2.gif, binary2.tif, binary2.pgm
• Not needed : routines.c, image.h
• Machine Problem 2
• test-image0.gif, test-image0.pgm
• test-image1.gif, test-image1.pgm
• test-image2.gif, test-image2.pgm
• Machine Problem 3
• Problem Set 2
Problem Set 2 Solutions

• Some useful vision and robotics links