Course Schedule and Catalog
Course Schedule - Spring Semester 2023
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 541 001 (CRN: 24640)
ADVS IN 3D SENSING & VIS
Long Title: 3D VISION: FROM AUTONOMOUS CARS TO THE METAVERSE
Department: Electrical & Computer Eng.
Instructor: Veeraraghavan, Ashok
Meeting: 4:00PM - 5:15PM TR (9-JAN-2023 - 21-APR-2023)
Part of Term: 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:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 70
Section Enrolled: 6
Total Cross-list Max Enrollment: 70
Total Cross-list Enrolled: 11
Enrollment data as of: 9-MAY-2024 1:25PM
Final Exam: GR Course-Dept Schedules Exam
Final Exam Time:
2-MAY-2023
2:00PM - 5:00PM T
Description: The goals of the course are to study basic concepts, and algorithms in 3D computer vision and their integration into various applications including autonomous navigation and augmented reality systems. Topics include: cameras, camera models, stereo, structured light, LIDAR, time-of-flight, case studies on autonomous driving, augmented reality and 3D avatars. The course will involve programming and implementing basic computer vision algorithms in Matlab/Python. Students will learn the fundamentals behind various 3D sensors and 3D computer vision algorithms and how the different performance capabilities make them relevant for integration into various application domains including autonomous navigation, augmented reality and 3D avatars. Cross-list: ELEC 448. Recommended Prerequisite(s): Prior knowledge of undergraduate-level linear algebra is a plus, but the course is self-contained. Mutually Exclusive: Cannot register for ELEC 541 if student has credit for ELEC 448.