Geo-registration of Aerial Imagery Using 3-D Volumetric Models

Award Information
Agency: Department of Defense
Branch: National Geospatial-Intelligence Agency
Contract: HM0210-13-C-0006
Agency Tracking Number: NGA-P2-11-01
Amount: $499,535.00
Phase: Phase II
Program: SBIR
Awards Year: 2013
Solicitation Year: 2011
Solicitation Topic Code: NGA11-001
Solicitation Number: 2011.2
Small Business Information
VISION SYSTEMS INC
72 WATER WAY, BARRINGTON, RI, -
DUNS: 827869129
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Ozge Ozcanli
 Image Scientist
 (401) 427-0860
 ozge@visionsystemsinc.com
Business Contact
 JOSEPH MUNDY
Title: President
Phone: (401) 245-7385
Email: mundy@lems.brown.edu
Research Institution
 Stub
Abstract
With the advancement of aerial imaging sensors, high quality data equipped with partial sensor calibration models is available. There is a recent research activity in computer vision community that aims to reconstruct 3-d structure of the observed scenes relying on the content of the imagery in fully automated ways. However the research has not matured into robust systems ready for operational settings. In this proposal, a novel architecture that reconstructs the 3-d geometry of the scene in the form of a geo-registered 3-d point cloud given imagery from multiple sensor platforms is presented. The 3-d cloud is equipped with LE and CE measurements through propagation of errors in the sensor calibration and the geometry reconstruction stages. The CVG team proposes to use a volumetric probabilistic 3-d representation (P3DM) and dense image matching to reconstruct the geometry and the appearance of the scene starting from a set of images with partial calibration data. The P3DM technology is at Technical Readiness Level (TRL) 4, with critical modules of the system parallelized and implemented on GPU hardware for real-time processing.

* information listed above is at the time of submission.

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