Course Schedule - Spring Semester 2017

     

ELEC 546 001 (CRN: 24118)

INTRO TO COMPUTER VISION

Long Title: INTRODUCTION TO COMPUTER VISION
Department: Electrical & Computer Eng.
Instructor: Veeraraghavan, Ashok
Meeting: 4:00PM - 5:15PM TR HRZ 210 (9-JAN-2017 - 21-APR-2017) 
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture/Laboratory
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 75
Section Enrolled: 10
Total Cross-list Max Enrollment: 80
Total Cross-list Enrolled: 60
Enrollment data as of: 1-DEC-2022 6:37AM
 
Additional Fees: None
 
Final Exam: GR Course-Dept Schedules Exam
 
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. Additional coursework required beyond the undergraduate course requirements. Additional coursework required beyond the undergraduate requirements. Cross-list: ELEC 345, COMP 345, COMP 546. Mutually Exclusive: Cannot register for ELEC 546 if student has credit for ELEC 345.