NSF Org:	AST Division Of Astronomical Sciences
Recipient:	UNIVERSITY OF CALIFORNIA, LOS ANGELES
Initial Amendment Date:	August 12, 2004
Latest Amendment Date:	August 31, 2005
Award Number:	0442037
Award Instrument:	Standard Grant
Program Manager:	Nigel Sharp nsharp@nsf.gov  (703)292-4905 AST  Division Of Astronomical Sciences MPS  Directorate for Mathematical and Physical Sciences
Start Date:	September 1, 2004
End Date:	February 28, 2006 (Estimated)
Total Intended Award Amount:	$0.00
Total Awarded Amount to Date:	$200,000.00
Funds Obligated to Date:	FY 2004 = $200,000.00
History of Investigator:	Andrea Bertozzi (Principal Investigator) bertozzi@math.ucla.edu
Recipient Sponsored Research Office:	University of California-Los Angeles 10889 WILSHIRE BLVD STE 700 LOS ANGELES CA  US  90024-4200 (310)794-0102
Sponsor Congressional District:	36
Primary Place of Performance:	University of California-Los Angeles 10889 WILSHIRE BLVD STE 700 LOS ANGELES CA  US  90024-4200
Primary Place of Performance Congressional District:	36
Unique Entity Identifier (UEI):	RN64EPNH8JC6
Parent UEI:
NSF Program(s):	OFFICE OF MULTIDISCIPLINARY AC, APPROACHES TO COMBAT TERRORISM
Primary Program Source:	app-0104
Program Reference Code(s):	0000, 1206, 7276, 9237, OTHR
Program Element Code(s):	125300, 727600
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.049

ABSTRACT

AST-0442037
Bertozzi

This project supports research in mathematical algorithms and implementations to represent, manipulate, and analyze data, specifically including feature detection, and registration and characterization of natural images. By building on a class of active contour models known as image snakes, the investigators will develop a fast method for object identification, to be used on large volumes of aerial photographs. Combined with higher order nonlinear PDE-based methods for resolving piecewise linear signals, and with shape and size constraints, the final system should be particularly efficient at locking onto predefined shapes. This interdisciplinary work draws on mathematical ideas from fluid dynamics and incorporates datasets from the intelligence community.

This award is supported jointly by the NSF and the Intelligence Community. The Approaches to Combat Terrorism Program in the Directorate for Mathematical and Physical Sciences supports new concepts in basic research and workforce development with the potential to contribute to national security.

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