Course Schedule - Spring Semester 2016

     

COMP 345 001 (CRN: 25680)

INTRO TO COMPUTER VISION

Long Title: INTRODUCTION TO COMPUTER VISION
Department: Computer Science
Instructor: Veeraraghavan, Ashok
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
Course Syllabus:
 
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
 
Additional Fees: None
 
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.