Covers relevant computer vision methods for solving mapping problems. Topics include 2D/3D interest points and feature descriptors, stereo and multi-view stereo, image alignment, 3D reconstruction, range data processing (pre-processing, segmentation and alignment), 3D modelling from point clouds, deep learning for mapping, map inference and map matching.
This course may not be repeated for credit.
Sections
This course will be offered next in
Fall 2021.