FALL 2007
ESE 358 COMPUTER VISION
TuTh 11.20 am to 12.40 pm, Melville
Library, Room N4072, Credits: 3
Prerequisites: ESE 305; ESE224 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.
Reference Book:
Computer Vision, L. G. Shapiro
and G. C. Stockman,
Prentice-Hall, 2001, ISBN 0-13-030796-3
Reference Website:
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.