CSE 391/591
 

 

 

STONY BROOK UNIVERSITY

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

 

 


 
 
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   Computational Photography and
   Computer Vision - CSE 391/591

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CSE 391/591: COMPUTATIONAL PHOTOGRAPHY AND INTRO. TO COMPUTER VISION

Fall 2008

ANNOUNCEMENTS:

CLASS INFORMATION:

  Course Description:
  Requirements, Grading, Internet resources
Syllabus:
Lectures, Reading Assignments
Homework Assignments
 



Lectures:
Tue/Thu 2:20 - 3:40 pm
Location: Computer Science Bldg. room 2313


       Instructor:
Prof. M. Alex O. Vasilescu
      Office Hours: Thu 4-5pm                       

Course Description: The plethora of images on the internet, the ubiquitous access to digital cameras and personal computers have spurred an interest in computational imaging techniques that organize images and enhance or extend the capabilities of digital cameras. Computational photography refers to analysis, manipulation and synthesis of images using numerical algorithms. It combines methodologies from image processing, computer vision, computer graphics and photography.

Prerequisites: Linear Algebra, Probability, or consent of the instructor.