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.