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.
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Dianne O'Leary, David Gilsinn, and Geraldine Cheok
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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.
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