Machine Perception
Spring Semester 2025
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Course Description
CIS 5800 is an introduction to the problems of computer vision and machine perception that can be solved using geometrical approaches rather than statistical methods, with emphasis on analytical and computational techniques. This course is designed to provide students with an exposure to fundamental mathematical and algorithmic techniques that are used to tackle challenging image-based modeling problems. The content of this course finds application in the fields of Artifical Intelligence and Robotics. Some of the topics that are covered are: Signal processing, projective geometry, camera calibration, image formation and transformations, computational stereopsis, and structure from motion.
Prerequisites: No prior experience with computer vision is assumed, however the following skills are necessary for this class: Mathematics (Linear algebra, vector calculus, and probability), data structures (representing images as features and geometric constructions) and programming.
Instructor
TA Staff
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(OH: Office hours)
Schedule
If you have questions about this course, please contact us at lingjie.liu@seas.upenn.edu or on Ed Discussion.
| Format: | In person |
| Time: | MW 12pm-1:29PM (1/15 to 4/30) |
| Location: | LEVH 101 |