| Course Number | EE 455b/914b CS 476b/576b |
| Course Title | Computer Vision |
| Instructors | Hemant Tagare, Peter N. Belhumeur and David J. Kriegman |
| Teaching Assistant | Xenios Papademetris |
| Schedule | TTh 9.00-10.15 at 107 Mason |
This course is intended for first year graduate students and advanced undergraduates. We assume students have at a least a rudimentary understanding of linear algebra, calculus, optimization, and are able to program in some type of structured language. There will be a number of homeworks particularly in the first part of the course, and an extended project in the second half. There will also be a midterm exam. Grading will be approximately 35% on the homeworks, 30% on the midterm, and 35% on the project.
TBK Jan 14 Overview of the Course
K Jan 16 Image Formation
K Jan 21 Human Visual System
B Jan 23 Segmentation and Grouping
T Jan 28 Filtering
T Jan 30 Edge Detection and Space Space
B Feb 4 Texture
B Feb 6 Binocular Stereopsis
B Feb 11 Optical Flow
B Feb 13 Structure from Motion
T Feb 18 Reflectance Functions / Shape from Shading
T Feb 20 Photometric Stereo
T Feb 25 Color
K Feb 27 Line Drawing Interpretation and Aspect Graphs
B Mar 4 Pattern Recognition
K Mar 6 Object Recognition
SPRING BREAK
K Mar 25 Object Recognition
TBK Mar 27 Midterm Review
TBK Apr 1 MIDTERM EXAM
K Apr 3 Face Recognition
T Apr 8 Medical Imaging (with Active Contours)
T Apr 10 Medical Imaging
K Apr 15 Structured Light / Range Imaging
B Apr 17 Tracking
TBK Apr 22 Project Presentations
TBK Apr 24 Project Presentations