View Course
COMPU_SCI 331-0 : Introduction to Computational Photography
Description
This course teaches the fundamentals of modern camera architectures and computational imaging systems. It gives students a hands-on experience in characterizing, manipulating and acquiring data captured on modern camera platforms. For example, students will learn how to estimate scene depth from a sequence of captured images or program their own high dynamic range imaging algorithm.
This course is part of a two-part series that explores the emerging new field of Computational Photography. Computational photography combines ideas in computer vision, computer graphics, technical optics, and image processing. This course will first cover the fundamentals of image sensing and modern cameras. We will then use this as a basis to explore recent topics in computational photography such as motion/defocus deblurring cameras, light field cameras, and computational illumination.
Prerequisites: 150 or 211 or 230 or Permission by Instructor
Please Note: This course will meet synchronously. Students who are not reasonably able to attend synchronous meetings will be able to watch recordings and fulfill participation requirements asynchronously.
| Summer 2024 | ||||
| Start/End Dates | Day(s) | Time | Building | Section |
| 06/17/24 - 08/25/24 | TuTh | 11 a.m. – 12:30 p.m. | 1 | |
| Instructor | Course Location | Status | CAESAR Course ID | |
| Schiffers, Florian | Online | Closed | 42470 | |