Spring 2024 Computer Science E6732 section 001

COMPUTATIONAL IMAGING

Call Number 12113
Day & Time
Location
M 4:10pm-6:00pm
453 Computer Science Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Shree K Nayar
Type LECTURE
Method of Instruction In-Person
Course Description

Computational imaging uses a combination of novel imaging optics and a computational module to  produce new forms of visual information. Survey of the state-of-the-art in computational imaging.  Review of recent papers on omnidirectional and panoramic imaging, catadioptric imaging, high  dynamic range imaging, mosaicing and superresolution. Classes are seminars with the instructor,  guest speakers, and students presenting papers and discussing them.

Web Site Vergil
Department Computer Science
Enrollment 18 students (20 max) as of 9:07PM Monday, July 15, 2024
Subject Computer Science
Number E6732
Section 001
Division School of Engineering and Applied Science: Graduate
Section key 20241COMS6732E001