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Attractive Image NIST

MCSD Researchers Honored with Best Paper Award

September 2002

David Gilsinn and Dianne O'Leary of NIST's Mathematical and Computational Sciences Division, along with Geraldine Cheok of NIST's Materials and Construction Research Division won the Best Paper Award for their contribution to the 19th Annual Symposium on Automation and Robotics in Construction (ISARC 2002). Their paper, entitled "Reconstructing Images of Bar Codes for Construction Site Object Recognition", was selected as top paper of the 88 manuscripts from 20 countries that accepted for presentation. The conference, which was sponsored by the International Association for Automation and Robotics in Construction, was held at NIST on September 23-25, 2002.

Photo of Dianne O'Leary, David Gilsinn, and Geraldine Cheok
Dianne O'Leary, David Gilsinn, and Geraldine Cheok

In their paper, Gilsinn, O'Leary, and Cheok describe techniques for the automated recognition of bar codes from LADAR (laser distance and ranging) optics. In the process of sending and recovering optical signals from a scene, LADAR devices obtain three-dimensional data (distance, angle, and intensity), which can be used to develop three-dimensional models. Although image reconstruction techniques are well known in association with traditional optical systems, this work represents one of the first to apply them in the context of 3D scanners. While current scanners generate beams that are much too coarse to get good reconstruction, with technology changes leading to finer resolution beams, effective reconstruction of objects may become feasible.

(bullet) David E. Gilsinn (NIST/MCSD/OCGG)
See also:
(bullet) Conference Web site
(bullet) The paper [PDF]

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Last updated: 2011-01-12.