ESE 358 COMPUTER VISION
TuTh 11.20 am to 12.40 pm,  Light Engg. Bldg. Room 154, Credits:  3
Prerequisites: ESE 305; ESE 224 or CSE 230


        Prof. Murali Subbarao

          Email: murali@ece.sunysb.edu;     Home Page: http://www.ece.sunysb.edu/~murali

          Office Hours:   Tues. & Thurs.: 10 am to 11 am, and 1 pm to 2 pm.

                                   Room 233  Light Engg. Bldg.

 

          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    14. Medical Imaging (Computed Tomography)

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


GRADING
Part I: Assignments

Programming projects : 20 %
Homeworks: 15 %


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. : 22 %
Test 2 : 1 hr. 15 mins. : 23 %
Test 3 (Final exam): 1 hr. 15 mins. : 20 %



Late submission of assignments

   Homeworks: Late submissions are not accepted as the weight for any individual homework is small, around 1% of the overall total. Homeworks help prepare for tests and be engaged in a continuous learning process.

  Projects:  One or two days late: graded out of 75% ( at a penalty of 25%).  Submissions that are more than two days late or not accepted.

 

See the SBU Blackboard website of the course for all the latest announcements.

 

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.