Course Schedule - Spring Semester 2017

     

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 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:
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: 60
Enrollment data as of: 1-DEC-2022 6:41AM
 
Additional Fees: None
 
Final Exam: Take-Home Exam
Final Exam Time:
28-APR-2017  
2:00PM - 5:00PM F TBA TBA
 
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.