Shyam Kuttikkad
shyam@cfar.umd.edu
Center for Automation Research
U. of Maryland
College Park MD 20742
Ph: (301)405-1235
Fax: (301)314-9115
9171 Springhill Lane
Greenbelt MD 20770
Ph: (301)982-4609
Research Interests
Image Processing, Computer Vision, Image and Video Compression, Pattern
Recognition, Image Understanding, Image Registration, Multi-sensor Fusion
and Multimedia Applications.
Education
1994 -
Ph.D. (May 1997), Electrical Engineering, University of Maryland,
College Park.
Advisor: Dr. Rama Chellappa.
Thesis topic: 3-D terrain reconstruction through Synthetic Aperture
Radar image analysis.
1991 - 1994
M.S., Electrical Engineering, University of Maryland, College Park.
Specialization: Communications and Signal Processing.
1986 - 1991
B.Tech., Electronics and Communication Engineering, University of
Calicut, India.
Honors: Ranked 2nd in a class of approximately
100 students. Awarded the National Talent Search Scholarship by the Government
of India from 1984-1990.
Work Experience
July 1992 -
Graduate Research Assistant, Center for Automation Research, University
of Maryland.
Conducted research on various problems arising in Synthetic Aperture Radar
(SAR) image analysis with applications to the 3-D modeling of a site. Research
supported by various grants from DARPA and AFOSR. Additionally,
- Provided specialized software for segmentation and target detection
to Northrop Grumman Corp., SAIC and LNK Corp.
- Collaborated in the preparation of research proposals for aerial image
analysis with SRI Intl., HNC Software Inc. and LNK Corp.
Aug 1991 - May 1993
Graduate Teaching Assistant, Dept. of Electrical Engineering, University
of Maryland.
Conducted undergraduate Electronics laboratory courses. Duties included
supervising laboratory sessions, setting exams, and assigning letter grades.
Dissertation
Related Research
- 3-D Terrain Reconstruction: Currently devising techniques to
register aerial images acquired from radar or optical sensors to Digital
Terrain Elevation Models (DTEM). The textural information in aerial images
will be combined with the location information extracted from DTEMs,
to generate 3-D site models.
- Image Registration:
Developed an automatic procedure for registering multiple SAR images of
a site. Registered images were used to reduce false alarms in target recognition
algorithms, compute heights of 3-D structures, such as buildings and vegetation
canopy, and improve segmentation.
- Generation
of 2-D Site Maps from Aerial Imagery: Designed a system to detect
man-made structures, such as buildings, roads, and vehicles and to delineate
natural features in a single SAR image. The methodology included statistical
model-based segmentation, morphological processing, feature detection and
high-level reasoning.
- Knowledge-based Integration of Image Understanding Tasks: Ported
the 2-D site model construction algorithm onto a system which facilitates
semi-autonomous task selection, initiation and control. (Work done in collaboration
with Dr. C. Shekhar)
- Image Segmentation:
Developed Bayesian techniques for the segmentation of SAR intensity, complex,
and polarimetric data. A posteriori smoothing involved Markov modeling
followed by non-linear optimization.
- Automatic
Target Detection: Implemented several algorithms for the robust
detection of targets and other bright scatterers in radar images, under
a variety of background clutter statistical models.
Other Research Projects
- Video Compression: Designed a video coding system based on block-matching
with a DCT-based compression of the error frames. Familiar with MPEG and
other video compression standards.
- Image Compression: Extended knowledge of lossless and lossy
still image compression techniques, including Subband and Wavelet coding.
Implemented a DCT-based still image compression scheme similar to the JPEG
standard.
- Vector Quantization: A good understanding of the theory and
practice of vector quantization. Implemented a pruned tree-structured vector
quantizer for still image compression.
- Face Recognition: Implemented a radial-basis function Neural
Network operating on features derived from frontal face images for gender
classification. Aware of the state-of-the-art in this field.
Relevant Courses
Advanced Digital Signal Processing Signal
Compression and Vector Quantization
Digital Image Processing Pattern
Recognition and Neural Networks
Image Understanding Seminars
in Face Recognition, Video Compression
Computer Skills
- Languages: C, C++, Pascal, Fortran; Software: Matlab,
Mathematica, Khoros.
Publications
- ``Site
model construction for the exploitation of E-O and SAR images,'' with
R. Chellappa, Q. Zheng, C. Shekhar and R. Burlina.
To appear in a book on Progress in IU, edited by O. Firschein and
T. Strat, Morgan Kaufmann Publishers, Inc.
- ``Knowledge-based
integration of IU algorithms,'' with C. Shekhar, R. Chellappa
and M. Thonnat. In Proc. of IEEE International Conference
on Pattern Recognition, Vienna, Austria, Aug. 1996.
- ``Building
wide area 2-D site models from single- and multi-pass single-polarization
SAR data,'' with R. Chellappa and L. M. Novak. In Proc. SPIE:
Algorithms for Synthetic Aperture Radar Imagery III, Orlando, FL, April
1996.
- ``Building
wide area 2-D site models from high resolution fully polarimetric Synthetic
Aperture Radar images,'' with R. Chellappa. In Proc. of
Intl. Symposium on Computer Vision, Coral Gables, FL, November
1995.
- ``Non-Gaussian
CFAR techniques for target detection in high resolution SAR images,''
with R. Chellappa. In Proc. of IEEE Intl. Conference
on Image Processing, Austin, TX, November 1994.
Professional Activities
- Member of the IEEE and its Signal Processing Society.
- Reviewed articles for the IEEE Transactions on Geoscience and Remote
Sensing.