| Nov 26, 2008 |
EECS 598: Special Topics in Computer Vision
|
Term: Winter 09
Course No.: EECS 598-003
Credit Hours: 3
Instructor: Prof. Silvio Savarese
Prerequisites: Knowledge of linear algebra and probability are necessary for understanding the material covered in this class. Some knowledge of computer vision is desirable but not required. MATLAB or equivalent programming experience is expected. Please note that EECS 598 can count toward the signal processing major or minor in the same way that 556 ordinarily would.
Course Description:
Course DescriptionThe course surveys recent developments in high level computer vision such asobject recognition and categorization, action and event recognition, objecttracking and human motion analysis, spatial and temporal reasoning for scenereconstruction and understanding, organization and indexing of visual data fromlarge databases. The course also explores recent machine learning techniquessuch as graphical models and inference algorithms for high level visual tasks.
Requirements: Present 1-2 set of papers Read papers and participate at class discussion during paperpresentations Course project: replicate existing methods or implement new researchideas.
Grading policy: Class participation & discussion: 20% Paper presentation (quality, clarity, depth, etc.): 30% Course project (quality of the project presentation, work, writing, etc): 50%
[More Info] |
| |
|
