Speedy Sparse Bundle Adjustment for Video/Image Sequences

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$149,926.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-13-M-1693
Award Id:
n/a
Agency Tracking Number:
F131-151-1741
Solicitation Year:
2013
Solicitation Topic Code:
AF131-151
Solicitation Number:
2013.1
Small Business Information
72 Water Way, Barrington, RI, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
078330170
Principal Investigator:
VishalJain
Vice President
(401) 965-9304
vishal@visionsystemsinc.com
Business Contact:
JosephMundy
President
(401) 427-0860
mundy@lems.brown.edu
Research Institute:
n/a
Abstract
ABSTRACT: VSI proposes a flexible sensor estimation framework for airborne calibration processing of image streams over long time periods. The components of the framework will consist of existing software and libraries. The plugin-based framework provides flexibility to switch the components easily. The core of the framework is a belief propagation engine to globally optimize the sensor parameters. The input to the approach is an image stream and its associated navigational data when available. The proposed framework is an online system wherein the sensor estimation is continuously refined as more spatial overlap is discovered. The proposed system can be dynamically tuned for either speed/efficiency or accuracy, depending on the requirements of the operator. The central tenets of the proposed approach are (i) use temporal ordering of the images to increase the computation efficiency, (ii) use spatial overlap of the images which are temporally disjoint to correct for any accumulated drift and (iii) to locally optimize the sensor parameters and use the belief propagation to globally optimize the sensor parameters for hundred thousands of images. BENEFIT: Sensor estimation capabilities for airborne image acquisition systems for Remote Sensing Applications. On-board processing capabilities for updating traffic reports.

* information listed above is at the time of submission.

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