Computer Vision and Robot Perception

Catalog description

Credits 3. 3 Lecture Hours. Projective geometry foundations of computer vision including spatial representations; geometric relations between multiple views of scenes; general principles of camera and image parameter estimation; visual feature extraction; lidar point cloud properties; visual and lidar-based simultaneous localization and mapping (SLAM). Prerequisites Graduate classification.