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Object Recreation from Facet Representation to IGES and Primitive…

Award Information

Department of Defense
Missile Defense Agency
Award ID:
Program Year/Program:
2006 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Stellar Science Ltd Co
6565 Americas Parkway NE, Suite 725 Albuquerque, NM 87110-
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2006
Title: Object Recreation from Facet Representation to IGES and Primitive Representations
Agency / Branch: DOD / MDA
Contract: HQ0006-06-C-7472
Award Amount: $100,000.00


Computer-aided design (CAD) modelers and signature simulation experts often must use multiple formats and types of geometric models representing the same object in order to support different applications. In the signature analysis domain, radar simulation generally requires faceted models, whereas accurate optical signature simulation requires smooth primitive-based models. Often the two models must be manually regenerated using different formats and tools, introducing possible manual errors or inconsistent results, because there is no way to convert automatically from faceted to primitive-based models. Stellar Science proposes to develop novel algorithms and software to autonomously convert from faceted models to primitive-based shape representations. For Phase I, we propose a method based on generating a multi-facet co-surface constraint matrix to test whether any collection of three or more facets can lie on the same quadratic surface. This quickly computed linear constraint enables the use of a straightforward hypothesize-and-test approach for grouping candidate facets into quadratic surfaces. Further processing groups planar surfaces into end-caps and boxes, computes the finite bounds and truncation planes of surfaces such as cylinders and cones, and generates IGES files containing the computed geometric primitives. Subcontractor SAIC will perform validation, ensure compliance with MDA models, and enable future BEST software integration.

Principal Investigator:

Irene A. Budianto

Business Contact:

Conrad J. Poelman
Chief Scientist
Small Business Information at Submission:

401 Serenity Ct SE Albuquerque, NM 87123

EIN/Tax ID: 850462062
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No