CSCI0453A-S13
Computer Vision
Computer Vision
The goal of computer vision is to extract information from digital images and movies. Topics covered in this course include algorithms for edge and motion detection, stereo vision, object recognition, and recovering structure from motion. A range of mathematical techniques will be used to model problems and algorithms. Students will implement, test, and evaluate several computer vision techniques, and will gain experience with analyzing real, noise-contaminated image data. (CSCI 0202 and MATH 0200) 3 hrs. lect./lab
The goal of computer vision is to extract information from digital images and movies. Topics covered in this course include algorithms for edge and motion detection, stereo vision, object recognition, and recovering structure from motion. A range of mathematical techniques will be used to model problems and algorithms. Students will implement, test, and evaluate several computer vision techniques, and will gain experience with analyzing real, noise-contaminated image data. (CSCI 0202 and MATH 0200) 3 hrs. lect./lab
- Term:
- Spring 2013
- Location:
- McCardell Bicentennial Hall 632(MBH 632)
- Schedule:
- 11:15am-12:05pm on Monday, Wednesday, Friday (Feb 11, 2013 to May 13, 2013)
- Type:
- Lecture
- Instructors:
- Daniel Scharstein
- Subject:
- Computer Science
- Department:
- Computer Science
- Division:
- Natural Sciences
- Requirements Fulfilled:
- DED
- Levels:
- Undergraduate
- Availability:
- View availability, prerequisites, and other requirements.
- Course Reference Number (CRN):
- 22005
- Subject Code:
- CSCI
- Course Number:
- 0453
- Section Identifier:
- A