High Resolution 3D Reconstruction from Wide-Area Video

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-09-C-0157
Agency Tracking Number: 08SB2-0526
Amount: $98,999.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: SB082-028
Solicitation Number: 2008.2
Small Business Information
185 Jordan Road, Troy, NY, 12180
DUNS: 112249359
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Mikhail Gutin
 Chief Scientist
 (518) 833-6897
Business Contact
 Mikhail Gutin
Title: President
Phone: (518) 833-6897
Email: gutin.mikhail@gmail.com
Research Institution
Applied Science Innovations, Inc. in collaboration with Lockheed Martin Corporation proposes development of the Super-resolved Volumetric Imagery from Video Aerial Surveillance (SVIVAS) – a novel set of image processing algorithms to produce, with modern wide area video sensors, highly accurate 3D models of the area under surveillance, with voxel sizes one-half of the sensor fundamental ground sample distance or better. Emerging wide-area video sensors such as Autonomous Real-time Ground Ubiquitous Surveillance - Imaging System (ARGUS-IS) cover large areas at high resolution. New techniques of superresolution and 3D model reconstruction with observations from multiple perspectives will advance capabilities of such systems even further. The proposed SVIVAS will provide 3D reconstruction with resolution better than half the ground sample distance from aerial imagers similar to ARGUS-IS, while addressing computational efficiency, effect of rolling shutter, superresolution beyond limitations by pixel sampling and by the optics, distortion and perspective correction due to wide field of view (>60 degrees), and other critical issues specific to imagers similar to ARGUS-IS. Limited to feasibility studies, Phase I will identify computationally efficient methods for 3D reconstructions across wide field of view electro-optic sensors on fixed-wing flying platforms. In Phase II, computationally efficient 3D reconstruction algorithms will be implemented for wide-field-of-view system similar to ARGUS-IS.

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

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