Course Schedule and Catalog

Department: Computer Science

Meeting: 1:00PM - 2:15PM TR TBA TBA (11-JAN-2016 - 22-APR-2016) 

Session: Full Term

Grade Mode: Standard Letter

Course Type: Lecture

Language of Instruction: Taught in English

Method of Instruction: Face to Face

Credit Hours: 3

 

Prerequisites: ELEC 301

Section Max Enrollment: 40

Section Enrolled: 0

Total Cross-list Max Enrollment: 40

Total Cross-list Enrolled: 14

Enrollment data as of: 28-MAY-2022 9:38PM

 

 

Final Exam: Final Exam Unknown

 

Description: An introduction to the basic concepts, algorithms and applications in computer vision. Topics include: cameras, camera models and imaging pipeline, low-level vision/image processing methods such as filtering and edge detection; mid-level vision topics such as segmentation and clustering; shape reconstruction from stereo, introduction to high-level vision tasks such as object recognition and face recognition. The course will involve programming and implementing basic computer vision algorithms in Matlab. Cross-list: ELEC 345.