Advanced topics in 3D vision covering topics including acquisition, processing, and synthesis of 3D content. The course introduces 3D representations amenable to computer vision (from classical polygonal meshes to neural fields), and fundamentals of non-linear optimization to effectively tackle inverse 3D vision problems. Prerequisite: CMPT 361 and MACM 316, both with a minimum grade of C-. Recommended: MATH 251. Students who have taken CMPT 469 under the title "3D Computer Vision" offered in Spring 2024 may not take this course for further credit.
Advanced topics in 3D vision covering topics including acquisition, processing, and synthesis of 3D content. The course introduces 3D representations amenable to computer vision (from classical polygonal meshes to neural fields), and fundamentals of non-linear optimization to effectively tackle inverse 3D vision problems. Prerequisite: CMPT 361 and MACM 316, both with a minimum grade of C-. Recommended: MATH 251. Students who have taken CMPT 469 under the title "3D Computer Vision" offered in Spring 2024 may not take this course for further credit.
