Course Schedule - Fall Semester 2019

     

ELEC 549 001 (CRN: 14071)

COMPUTATIONAL PHOTOGRAPHY

Long Title: COMPUTATIONAL PHOTOGRAPHY
Department: Electrical & Computer Eng.
Instructor: Veeraraghavan, Ashok
Meeting: 2:30PM - 3:45PM TR SST 106 (26-AUG-2019 - 6-DEC-2019) 
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 39
Section Enrolled: 21
Enrollment data as of: 7-APR-2020 6:09AM
 
Fees: None
 
Final Exam: GR Course-Dept Schedules Exam
 
Description: Computational photography is an emerging field that aims to overcome the limitations of conventional digital imaging and display devices by using novel optics, signal processing and computer vision to perform more efficient and accurate measurement as well as produce more compelling and meaningful visualizations of the world around us. It is a convergence of many areas, such as optics, computer vision, computer graphics, image processing, photography, and so on. We will cover topics such as computational sensors with assorted pixel, mobile camera control, light field capture and rendering, computational flash photography, computational illumination for appearance acquisition and 3D reconstruction, reflectance transformation imaging, light transport analysis and novel displays.