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Three Dimensional Scene Reconstruction Through Stochastic Structure From Motion

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
67663
Program Year/Program:
2004 / SBIR
Agency Tracking Number:
F041-170-0842
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
ALPHATECH, INC.
6 New England Executive Park Burlington, MA 01803
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2004
Title: Three Dimensional Scene Reconstruction Through Stochastic Structure From Motion
Agency / Branch: DOD / USAF
Contract: FA8651-04-C-0217
Award Amount: $100,000.00
 

Abstract:

We propose to design and develop an algorithmic framework that reconstructs three-dimensional scene models from a video sequence collected by a single airborne camera. Compensating for the uncertainties introduced by measurement error and feature extraction, the system uses stochastic geometry to model observations of scene features and navigation information as multi-dimensional probability distributions rather than deterministic entities. We employ Extended Kalman Filters to produce optimal estimates of camera pose and 3D scene geometry. In order to maximize feature association and tracking performance, the system augments 2D image observations with information-rich, quasi-invariant feature vectors. This approach affords both computationally tractable, incremental operation and robustness to uncertainty inherent in operational systems. System inputs consist of camera calibration, a video sequence of arbitrary length, and sensor position and pointing angle for each image. The output of the system is a continually updated three-dimensional scene model. In Phase I, we will develop the core algorithms in detail and demonstrate key system concepts; we will then assess system performance (accuracy and computational complexity) as a function of free parameters such as sensor resolution, frame rate, and altitude. We will also analyze the hardware requirements of a real-time prototype.

Principal Investigator:

Matthew E. Antone
Lead Research Engineer
7812733388
mantone@alphatech.com

Business Contact:

John J. Barry
Contracts Manager
7812733388
jbarry@alphatech.com
Small Business Information at Submission:

ALPHATECH, INC.
6 New England Executive Park Burlington, MA 01803

EIN/Tax ID: 042654515
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No