UCR

Institute for Integrative Genome Biology



Members


Amit Roy-ChowdhuryAmit K. Roy Chowdhury

Professor of Electrical Engineering

Mailing Address:

Electrical Engineering
EBU-II /322
University of California
Riverside, CA 92521

Phone: (951) 827-7886
Fax: (951) 827-2425
Email: amitrc@ee.ucr.edu

Website
UCR Living the Promise Profile


Degree(s):

PhD 2002 University of Maryland, College Park
MS 1997 Indian Institute of Science, Bangalore
BS 1995 Jadavpur University, Calcutta

College/Division Affiliation:

Bourns College of Engineering

Center/Inst Affiliation(s):

Center for Research in Intelligent Systems (CRIS)
Center for Plant Cell Biology

Areas Of Expertise:

Computer Vision; Image Processing; Pattern Recognition; Video Communications

Research Summary:

An Integrated Framework for Video Analysis:This research project focuses on understanding the effects of different independent modalities of image formation - illumination conditions, object shape, motion and surface reflectance. The project concentrates on the problem of pose and illumination invariant object recognition in video, based on learned models of lighting, motion and shape. The researchers will also develop novel scene relighting methods using the illumination models learned from natural videos. The overall mathematical approach is to combine precise geometrical models with statistical data analysis tools, thus combining accuracy and robustness. This research will benefit a large number applications in national priority areas like homeland security, monitoring of nuclear installations and border security, in commercial interests like video communications, multimedia databases and entertainment, in social causes like wildlife and environmental monitoring, and in medical and biological applications relying on video analysis. This project is funded by an NSF Grant from the Information and Intelligent Systems Division.

Shape Theory in Video Analysis: We have developed a number of mathematical models for describing the dynamics of shape changes in video applications. This includes matching of shape sequences, estimating the amount of deformations in a shape sequences, and describing a function space for shape dynamics. This work is particularly significant in biological applications as it can be useful in describing the patterns of shape changes in various biological phenomena, e.g., cell division.

Related Press Releases:

Selected Publications:

List of publications from PubMed

More Information

General Campus Information

University of California, Riverside
900 University Ave.
Riverside, CA 92521
Tel: (951) 827-1012

Career OpportunitiesUCR Libraries
Campus StatusDirections to UCR

Genomics Information

Institute of Integrative Genome Biology
2150 Batchelor Hall

Tel: (951) 827-7177
E-mail: Aurelia Espinoza, Managing Director

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