Forensic Facial Image Analysis providing 3D Mapping, Metatagging, Comparative Operation and Search System

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$70,000.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
W15P7T-11-C-A013
Award Id:
n/a
Agency Tracking Number:
A102-088-0126
Solicitation Year:
2010
Solicitation Topic Code:
A10-088
Solicitation Number:
2010.2
Small Business Information
1867 Austin Bluffs Pkwy., Ste 200, Colorado Springs, CO, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
171897239
Principal Investigator:
Walter Scheirer
Director Research&Development
(719) 387-8660
wscheirer@securics.com
Business Contact:
James Wittenburg
President
(719) 387-8660
jwittenburg@securics.com
Research Institution:
Stub




Abstract
The ability to accurately catalog and search through vast repositories of human images has been difficult to achieve for several reasons. The most common approach to this problem involves the manual tagging of images with textual descriptions. Unfortunately, manual tagging is a laborious process, and the resulting tags are often misleading or incorrect, as can be seen in Figure 1. Securics, Inc. has created a new type of solution for the problem of forensic facial images with our use of automatically computed descriptive facial attributes. With the attribute approach, we can define any number of new attributes for features of interest, including scars, marks, and tattoos. For this Phase I SBIR effort, we intend to extend our existing technology for flexible detainee processing and management by incorporating highly unique facial and body features from a variety of source imagery. Securics and our partner the University of Colorado at Colorado Springs bring the experience and expertise of two important research groups in computer vision investigating human biometrics. Based on our substantial past experience in the specific area of forensic facial image analysis, we are confident in a high degree of success for our effort.

* information listed above is at the time of submission.

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