Advanced Computer Vision and Image Processing

3 credits · Graduate

The course will cover modern techniques in computer vision and image processing, including but not limited to statistical pattern recognition, determination of pose from multiple views, velocity-based scene segmentation, determination of depth from monocular views and both space- and time-diversity stereo, uni- modal and multi-modal image registration, feature detection using feature-space clustering, and segmentation and recognition by invariants. Students will be required to prepare papers for presentation in a weekly seminar. This course will meet once weekly for 3 hours. Enrollment is restricted to 7 students.