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Ship Shape: Three-dimensional ship modeling for submarine combat systems

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00024-13-P-4552
Agency Tracking Number: N131-024-0340
Amount: $149,998.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N131-024
Solicitation Number: 2013.1
Timeline
Solicitation Year: 2013
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-06-28
Award End Date (Contract End Date): 2015-12-26
Small Business Information
6565 Americas Parkway NE, Suite 725
Albuquerque, NM 87110
United States
DUNS: 000000000
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Conrad Poelman
 Owner
 (877) 763-8268
 cpdodsbirnet@stellarscience.com
Business Contact
 Conrad Poelman
Title: Owner
Phone: (877) 763-8268
Email: cpdodsbirnet@stellarscience.com
Research Institution
N/A
Abstract

The rapid identification of ships from periscope and other imagery is a capability important to a variety of submarine missions, including sea control, anti-surface warfare, battle group support, covert operations landings, and ISR (intelligence, surveillance, and reconnaissance) operations. When spotting a new vessel, the imagery taken from submarines can be useful to construct three-dimensional (3D) computer-aided design (CAD) models of ships that can be used for identification in future sightings, for computer-generated simulations, and for capabilities assessment. Currently the task of ship recognition from images requires substantial human involvement, and model building is labor-intensive. This research project seeks to demonstrate the feasibility of applying modern computer vision techniques to create a Ship Shape system that computes 3D CAD models from submarine periscope imagery of ships, with operator involvement limited to 15-30 minutes per model. We propose to leverage current computer vision techniques and demonstrate proof-of-concept algorithms for each phase of the computation, including image segmentation, sparse shape reconstruction, dense shape reconstruction, and CAD modeling with limited user interaction.

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

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