Course Schedule and Catalog

Long Title: 3D VISION: FROM AUTONOMOUS CARS TO THE METAVERSE

Department: Electrical & Computer Eng.

Grade Mode: Standard Letter

Language of Instruction: Taught in English

Course Type: Lecture

Credit Hours: 3

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. Graduate/Undergraduate Equivalency: 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.