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Automated 3D Reconstruction of a Scene From Persistent Aerial Reconnaissance Video at High Zoom

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-16-M-1811
Agency Tracking Number: F161-151-1380
Amount: $149,967.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF161-151
Solicitation Number: 2016.1
Timeline
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-06-20
Award End Date (Contract End Date): 2017-03-15
Small Business Information
145 Lake Drive
Wexford, PA 15090
United States
DUNS: 831883868
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Dr. Mark Allmen
 (724) 799-8078
 marka@neyasystems.com
Business Contact
 Dr. Parag Batavia
Phone: (724) 799-8078
Email: paragb@neyasystems.com
Research Institution
N/A
Abstract

ABSTRACT: Persistent aerial reconnaissance of an area of interest is often performed in support of ground operations. This reconnaissance is often completed with passive full motion video with the platform flying an orbit. While high-fidelity automatically-generated 3D models of the viewed scene would greatly benefit analyst understanding of the environment, frequent zoom changes and switching between color, electro-optical, and infrared sensing greatly complicates model generation. Neya Systems proposes to develop a 3D scene model generation capability that is not hindered by frequent zoom changes or changes between color, electro-optical and infrared video. A performance model will be developed that characterizes expected accuracy of the reconstruction.; BENEFIT: The benefits of three-dimension (3D) context for tactical and ISR missions are widely recognized and range from providing the spatial awareness to the Warfighter during tactical operations to providing the common spatial representation for multi-INT data fusion during manual and/or automated ISR exploitation. By providing this 3D information regardless of the video characteristics used to generate the information, our solution greatly increases the scenarios within which this capability can be used.

* Information listed above is at the time of submission. *

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