FALL 2008
ESE 358 COMPUTER VISION
TuTh 11.20 am to 12.40 pm, Credits:  3
Prerequisites: ESE 305; ESE 224 or CSE 230


        Prof. Murali SubbaRao

          Email: murali@ece.sunysb.edu,  Room 233  Light Engg. Bldg.
          Home Page: http://www.ece.sunysb.edu/~murali

          Dept. of Electrical and Computer Engg.
          State University of New York,  Stony Brook, NY 11794-2350, USA    

Text book:
Machine Vision, Ramesh Jain, Rangachar Kasturi, and Brian G. Schunck,
McGraw-Hill, Inc., 1995. ISBN 0-07-032018-7 OR   ISBN 0-07-113407-7.

Reference Website:
http://homepages.inf.ed.ac.uk/rbf/CVonline/

Introduces fundamental concepts, algorithms, and computational techniques
in visual information processing. The course covers the following  topics.

1. Introduction                 2. Binary Image Processing
3. Regions                        4. Image Filtering
5. Edge Detection             6. Contours
7. Texture                         8. Optics
9. Shading                       10. Color
11. Depth                         12. Calibration
13. Object Recognition

There will be about 4 programming projects  using C/C++.


GRADING
Part I: Assignments
Programming projects : 25 %
Homeworks: 12 %
Course portfolio 3%

Part II : Tests
     Tests may contain two parts with the first part being closed-book and
the second part being open-book.

Test 1 : 1 hr. 15 mins. : 20 %
Test 2 : 1 hr. 15 mins. : 20 %
Test 3 : 1 hr. 15 mins. : 20 %

Grading Policy
Grades are assigned based on absolute percentage of total marks as below.
A : 91--100      A- : 86--90
B+ : 81--85      B : 76--80       B- : 71--75
C+ : 68--70      C : 64--67      C- : 61--63
D+ : 56--60      D : 51--55       F : 0--50

Academic dishonesty and disruptive behaviour are required to be
promptly reported to the University Authorities.
University policies in this matter stipulate severe penalties.