|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