Algorithms for Stereo Image Creation from a Sequence of Two Dimensional Images

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9451-06-C-0035
Agency Tracking Number: F051-011-3337
Amount: $758,191.00
Phase: Phase II
Program: SBIR
Awards Year: 2006
Solicitation Year: 2005
Solicitation Topic Code: AF05-011
Solicitation Number: 2005.1
Small Business Information
STELLAR SCIENCE LTD.CO
401 Serenity Ct SE, Albuquerque, NM, 87123
DUNS: 092174635
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Robert Radtke
 Lead Software Engineer
 (505) 299-2686
 rob@stellarscience.com
Business Contact
 Conrad Poelman
Title: Owner
Phone: (505) 453-2713
Email: cpdodsbir@stellarscience.com
Research Institution
N/A
Abstract
Stellar Science has developed innovative techniques capable of autonomously converting standard 2D image sequences into 3D stereo movies, and has successfully tested these techniques on a wide variety of space surveillance imagery. Our algorithm first solves for the satellite’s shape and motion using a feature based technique, and then uses this information to select and combine suitable stereo image pairs, and finally when desired, generates realistic looking synthetic images to increase the temporal fidelity of the image sequences. In phase II, we will build upon and expand this initial capability by investigating specific techniques that promise to improve the quality, quantity and usefulness of our output stereo images. Our phase II plan includes creating synthetic images that do not lie in the imaging sensor’s viewing baseline, implementing a detailed testing mechanism that can characterize these improvements, supporting new space and non-space related imagery types such as radar, and demonstrating software tools that help users scientifically exploit and measure stereo imagery. We will combine our vast experience in space surveillance imagery exploitation and stereo image creation techniques with our proven track record of implementing robust scientific algorithms to deliver a working and highly maintainable software tool.

* information listed above is at the time of submission.

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