Course Schedule and Catalog
Course Schedule - Spring Semester 2017
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
ELEC 345 001 (CRN: 20823)
INTRO TO COMPUTER VISION
Long Title: INTRODUCTION TO COMPUTER VISION
Department: Electrical & Computer Eng.
Instructor: Veeraraghavan, Ashok
Meeting: 4:00PM - 5:15PM TR (9-JAN-2017 - 21-APR-2017)
Part of Term: 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:
May not be enrolled in one of the following Level(s):
Graduate
Prerequisites: ELEC 301 OR ELEC 475 OR COMP 330
Section Max Enrollment: 75
Section Enrolled: 21
Total Cross-list Max Enrollment: 80
Total Cross-list Enrolled: 58
Enrollment data as of: 9-OCT-2024 1:47PM
Final Exam: Take-Home Exam
Final Exam Time:
28-APR-2017
2:00PM - 5:00PM F
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: COMP 345, ELEC 546, COMP 546. Mutually Exclusive: Cannot register for ELEC 345 if student has credit for ELEC 546.