Course Outline
General Information
No one shall be permitted
to audit the course. People are welcome to sit through it, however. The
course is open to all suitably inclined B.Tech., Dual Degree, M.Tech. and
Ph.D. students of all disciplines: EE, CSE, Mathematics, Physics, ME, etc.
No pre-requisite course is required, nor is any background assumed, except
for a knowledge of basic First Year B.Tech Mathematics or its equivalent,
and a basic knowledge of programming.
Credits: 6
Schedule for Classes:
|
Monday
|
09:30 - 10:30
|
EEG-301
|
|
Tuesday
|
11:30 - 12:30
|
EEG-301
|
|
Wednesday
|
08:30 - 09:30
|
EEG-301
|
Teaching Assistants:
Avdhoot A. Bane: bane@ee.iitb.ac.in
D. Soumya: soumya@ee.iitb.ac.in
Books, Papers and other Documentation
Textbooks:
-
R. C. Gonzalez, R. E. Woods.
Digital
Image Processing. Addison Wesley Longman, Inc., 1992.
-
A. K. Jain. Fundamentals of Digital
Image Processing. Prentice-Hall, 1989.
Reference Books:
-
R. M. Haralick, L. G. Shapiro. Computer
and Robot Vision. Addison-Wesley, 1993.
-
A. Rosenfeld, A. C. Kak. Digital
Picture Processing. Addison-Wesley, 1983
-
D. A. Forsyth, J. Ponce. Computer
Vision: A Modern Approach. Prentice-Hall, 2003.
-
C. R. Giardina, E. R. Dougherty.
Morphological
Methods in Image and Signal Processing. Prentice-Hall, Englewood Cliffs,
New Jersey, 1988.
-
R. J. Schalkoff. Digital Image Processing
and Computer Vision. John Wiley & Sons, Singapore, 1989.
-
V. S. Nalwa. A Guided Tour of Computer
Vision. Addision-Wesley, 1993.
-
W. K. Pratt.
Digital Image Processing(Second
Edition). John Wiley & Sons, New York, 1991.
-
B. K. P. Horn. Robot Vision.
MIT Press, Cambridge, 1987.
-
D. H. Ballard, C. M. Brown. Computer
Vision. Prentice-Hall, Englewood Cliffs, 1982.
-
G. C. Stockman, L. G. Shapiro. Computer
Vision. Prentice-Hall, 2001.
-
R. I. Hartley, A. Zisserman. Multiple
View Geometry in Computer Vision. Cambridge University Press, ISBN:
0521623049, 2000.
-
O. Faugeras. Three-Dimensional Computer
Vision: A Geometric Viewpoint. MIT Press, 1993.
-
R. Kasturi, R. C. Jain. Computer
Vision: Principles. IEEE Computer Society Press Tutorial, 1991.
-
W. H. Press, S. A. Teukolsky, W. T.
Vetterling, B. P. Flannery.
Numerical Recipes in C. (Second Edition)
Cambridge University Press, 1992.
-
A. K. Jain, R. C. Dubes. Algorithms
For Clustering Data. Prentice-Hall, 1988.
-
R. Gose, R. Johnsonbaugh, S. Jost.
Pattern
Recognition and Image Analysis. Prentice-Hall, 1996.
-
A. Tucker, D. Small. A Unified Introduction
to Linear Algebra: Models, Methods, and Theory. Macmillan Publishing
Company, 1989.
Papers:
-
R. Y. Tsai. A Versatile Camera Calibration
Technique for High-Accuracy 3-D Machine Vision Metrology Using Off-the-Shelf
TV Cameras and Lenses.IEEE Journal of Robotics and Automation, vol.
RA-3, no. 4, pp. 323 - 344, August 1987.
-
A. Krishnan, N. Ahuja. Range Estimation
From Focus Using a Non-frontal Imaging Camera. In Proc. National Conference
on Artificial Intelligence (AAAI), pp. 830 - 835, 1993.
-
A. Krishnan, N. Ahuja. Stereo Display
of Large Scenes from Monocular Images Using a Novel Non-Frontal Camera.
In Proc. Asian Conference on Computer Vision (ACCV), 1993.
-
A. Krishnan, N. Ahuja. Panoramic Image
Acquisition. In Proc. IEEE International Conference on Computer Vision
and Pattern Recognition (CVPR), pp. 379 - 384, 1996.
-
A. Krishnan, N. Ahuja. Range Estimation
From Focus Using a Non-Frontal Imaging Camera. International Journal
of Computer Vision, vol. 20, no. 3, pp. 169 - 185, 1996.
-
A. Castano, N. Ahuja. Omnifocussed
3D Display Using the Nonfrontal Imaging Camera. In Proc. IEEE and ATR
Workshop on Computer Vision for Virtual Reality Based Human Communications
(CVVRHC), pp. 28 - 34, 1998.
-
S. K. Nayar. Catadioptric Omnidirectional
Camera. In Proc. IEEE International Conference on Computer Vision and
Pattern Recognition (CVPR), pp. 482 - 488, 1997.
-
S. Baker and S. K. Nayar. A Theory
of Single-Viewpoint Catadioptric Image Formation.International Journal
of Computer Vision, vol. 35, no. 2, pp. 175 - 196, 1999.
-
M. Irani, B. Rousso, S. Peleg. Computing
Occluding and Transparent Motions.International Journal of Computer
Vision, vol. 12, no. 1, pp. 5 - 16, 1994.
-
M. Irani, B. Rousso, S. Peleg. Recovery
of Ego-Motion Using Image Stabilization. In Proc. IEEE International
Conference on Computer Vision and Pattern Recognition (CVPR), pp. 454
- 460, 1994.
-
B. Rousso, S. Avidan, A. Shashua, S.
Peleg. Robust Recovery of Camera Rotation from Three Frames. In Proc.
DARPA Image Understanding Workshop, pp. 851 - 856, 1996.
-
R. Szeliski. Image Mosaicing for Tele-Reality
Applications.CRL 94/2, Cambridge Research Laboratory Technical Report
Series, May 1994.
-
M. Kass, A. P. Witkin, D. Terzopoulos.
Snakes: Active Contour Models. In Proc. IEEE International Conference
on Computer Vision, pp. 259 - 268, 1987.
-
M. Kass, A. P. Witkin, D. Terzopoulos.
Snakes: Active Contour Models. International Journal of Computer Vision,
vol. 4, pp. 321 - 331, January 1988.
-
D. Marr, E. Hildreth. Theory of Edge
Detection. Proceedings of Royal Society of London, vol. 207, pp.
187 - 217, 1980.
-
H. Murase and S. K. Nayar. Visual Learning
and Recognition of 3D Objects from Appearance.
International Journal
of Computer Vision, vol. 14, no. 1, pp. 5 - 24, 1995.
-
S. K. Nayar and R. M. Bolle. Reflectance
Based Object Recognition. International Journal of Computer Vision,
vol. 17, no. 3, pp. 219 - 240, 1996.
-
J. F. Canny. A Computational Approach
to Edge Detection. IEEE Transactions on Pattern Analysis and Machine
Intelligence, vol. 8, no. 6, pp. 679 - 698, November 1986.
-
Z. Zhang, H. Wang, E. K. Teoh. Analysis
of Gray Level Corner Detection.Pattern Recognition Letters, vol.
20, pp. 149 - 162, 1999.
-
G. K. Wallace. The JPEG Still Picture
Compression Standard.
Communications of the ACM,
vol. 34, no. 4, pp. 30 - 44, April 1991.
-
A. N. Skodras, C. A. Christopoulos,
T. Ebrahimi. JPEG2000: The Upcoming Still Image Compression Standard.Pattern
Recognition Letters, vol. 22, pp. 1137 - 1345, 2001.
-
S. Geman and D. Geman. Stochastic Relaxation,
Gibbs Distributions, and the Bayesian Restoration of Images, IEEE Transactions
on Pattern Analysis and Machine Intelligence, vol. 6, no. 6, pp. 721
- 741, November 1984.
-
M. A. Isard.
Visual Motion Analysis by Probabilistic Propagation of
Conditional Density.
PhD Thesis,
Department of Engineering Science, University of Oxford,
September 1998.
-
M. S. Arulampalam, S. Maskell, N. Gordon and T. Clapp.
A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian
Bayesian Tracking,
IEEE Transactions on Signal Processing,
vol. 50, no. 2, pp. 174 - 188,
February 2002.
-
I. M. Rekleitis.
A Particle Filter Tutorial for Mobile Robot Localization.
TR-CIM-04-02,
Centre for Intelligent Machines, McGill University.
The above list is (obviously!)
not exhaustive. Other reference material will be announced in the class.
The Web has a vast storehouse of tutorial material on Image Processing,
and other related areas.
Assignments
... A combination of theoretical
work as well as programming work.
Both will be scrutinized in
detail for original work and thoroughness.
For programming assignments, there
will be credit for good coding.
Sphagetti coding will be penalized.
Program correctness or good
programming alone will not fetch you full credit ... also required are
results of extensive experimentation with varying various program parameters,
and explaining the results thus obtained.
Assignments will have
to be submitted on or before the due date
and time.
Late submissions will
not be considered at all.
Unfair means will be result
in assigning as marks, the number said to have been discovered by the ancient
Indians, to both parties (un)concerned.
Assignment 0
Assignment 1
Assignment 2
Assignment 3
Assignment 4
Examinations and Grading Information
The marks distribution is as follows
(out of a total of 100):
|
Mid-Sem
|
33
|
|
End-Sem
|
33
|
|
Assignments
|
34
|
|
Grand Total
|
100
|
EE610
Evaluation:Programming Assignment Groups, Assignment/Examination-related
Information
Attendance Requirements:
As per Institute rules for M. Tech,
Dual Degree and B. Tech students.
Illness policy: illness to be certified
by the IITB Hospital
Attendance in Examinations is
Compulsory.
Complete EE610 Attendance Records [25.07.2006 - 08.11.2006]
[Each absent below -9: -1 in EndSem marks. Non-negative
attendance scores: may get minor extra credit]
Course Feedback
Link
to Course Feedback From
Sumantra
Dutta Roy Department of Electrical Engineering, IIT Bombay, Powai,
Mumbai - 400 076, INDIA. sumantra@ee.iitb.ac.in