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Proceedings Paper

Autonomous low-level model construction
Author(s): Leland C. Best; Michael Magee
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Paper Abstract

This paper describes a technique that has been developed for autonomously constructing a low- level point model of the surface of an object. Noisy range images of the object are acquired from many different known viewpoints. Data from the range images are resampled onto a regular grid in a reference coordinate system, and then combined to form a single voxel based representation of the surface. A dense set of points lying on the surface is then extracted from the voxel representation. Results using synthetic range data are presented.

Paper Details

Date Published: 18 August 1995
PDF: 10 pages
Proc. SPIE 2562, Radar/Ladar Processing and Applications, (18 August 1995); doi: 10.1117/12.216953
Show Author Affiliations
Leland C. Best, Univ. of Wyoming (United States)
Michael Magee, Univ. of Wyoming (United States)

Published in SPIE Proceedings Vol. 2562:
Radar/Ladar Processing and Applications
William J. Miceli, Editor(s)

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