REAL-TIME RECEPTIVE FIELDS: THE GENERIC NEIGHBORHOOD OPERATION SCALE SPACE PROCESSOR (GNOSSP)

Award Information
Agency:
Department of Commerce
Branch:
N/A
Amount:
$198,334.00
Award Year:
1995
Program:
SBIR
Phase:
Phase II
Contract:
N/A
Agency Tracking Number:
26852
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Aspex Inc.
536 Broadway, New York, NY, 10012
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
N/A
Principal Investigator
 Randall L Luck
 (212) 966-0410
Business Contact
Phone: () -
Research Institution
N/A
Abstract
THE PROPOSED INNOVATION IS REAL-TIME HARDWARE FOR IMAGE PROCESSING, IMAGE UNDERSTANDING, AND MACHINE VISION THAT WILL ACHIEVE SIGNIFICANT PERFORMANCE INCREASES OVER CURRENT SYSTEMS BY IMPLEMENTING THE REDUCED SET OF OPERATIONS REQUIRED TO SUPPORT A SPECIFIC SET OF ALGORITHMS. THESE ALGORITHMS ARE THE "GENERIC NEIGHBORHOOD OPERATIONS" OF KOENDERINK AND VAN DOORN WHICH PROVIDE A FRAMEWORK FOR DESCRIBING THE LOCAL STRUCTURE OF OBJECTS IN IMAGES AT A POINT. THE GOAL OF PHASE I OF THIS PROJECT IS TO PERFORM THE TECHNICAL RESEARCH AND DETAILED ENGINEERING DESIGN OF A SYSTEM TO IMPLEMENT THIS THEORY OF GENERIC NEIGHBORHOOD OPERATORS IN REAL-TIME. THIS PROJECT IS CONCERNED WITH PERFORMING THE ENGINEERING DESIGN FOR REAL-TIME HARDWARE FOR IMAGE PROCESSING AND IMAGE UNDERSTANDING. IN ITS FINAL IMPLEMENTATION, IT WILL ACHIEVE ORDERS OF MAGNITUDE PERFORMANCE INCREASES OVER CURRENTLY AVAILABLE SYSTEMS BY IMPLEMENTING ONLY A REDUCED SET OF OPERATIONNS REQUIRED TO SUPPORT A SPECIFIC SET OF ALGORITHMS. IN PARTICULAR, IN ITS FINAL CONFIGURATION, IT MAY PROCESS AT UP TO 138 G OPERATION PER SECOND.

* information listed above is at the time of submission.

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