Explores algorithms that can extract information about the world from images or sequences of images. Topics covered include: imaging models and camera calibration, early vision (filters, edges, texture, stereo, optical flow), mid-level vision (segmentation, tracking), vision-based control and object recognition. Recommended prerequisite: probability, multivariate calculus and linear algebra.
instructor(s)
Yeh, Tom
Primary Instructor
- Spring 2023 / Fall 2023 / Spring 2024
