SBIR-STTR Award

Model based synthetic discriminant function for pattern recognition
Award last edited on: 9/10/2002

Sponsored Program
SBIR
Awarding Agency
DOD : Army
Total Award Amount
$377,145
Award Phase
2
Solicitation Topic Code
A90-260
Principal Investigator
Larry Z Kennedy

Company Information

Applied Research Inc

3930 Freedom Circle
San Clara, CA 95054
   (408) 496-6800
   N/A
   N/A
Location: Single
Congr. District: 17
County: Santa Clara

Phase I

Contract Number: DAAH01-91-C-R136
Start Date: 4/3/1991    Completed: 3/29/1991
Phase I year
1990
Phase I Amount
$48,709
The Phase I SBIR research under MICOM contract DAAH01-91-C-R136 demonstrated the feasibility of achieving the requirements for creating a model based filter with current imagery. A CAD tank model was utilized to construct arbitrary aspects and scales sizes which could be encoded into a multiplexed filter. In addition, a technique was developed for "painting" the CAD model with current imagery before generating the many different aspects required for the filter from the CAD model. These elements are to make the multiplexed filter, target acquisition technique practical. Development of the techniques with regard to CAD model modification, improvement of image accuracy, and operational issues for field uses are proposed

Phase II

Contract Number: DAAH01-92-C-R390
Start Date: 7/31/1992    Completed: 7/31/1994
Phase II year
1992
Phase II Amount
$328,436
The Phase I SBIR research under MICOM contract DAAH01-91-C-R136 demonstrated the feasibility of achieving the requirements for creating a model based filter with current imagery. A CAD tank model was utilized to construct arbitrary aspects and scales sizes which could be encoded into a multiplexed filter. In addition, a technique was developed for "painting" the CAD model with current imagery before generating the many different aspects required for the filter from the CAD model. These elements are to make the multiplexed filter, target acquisition technique practical. Development of the techniques with regard to CAD model modification, improvement of image accuracy, and operational issues for field uses are proposed