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Proceedings Paper

Automatic extraction of complex surface models from range images using a trimmed-rational Bezier surface
Author(s): Pierre Boulanger; Iwao Sekita
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Paper Abstract

This paper presents a new method for the extraction of a rational Bezier surface from a set of data points. The algorithm is divided into four parts. First, a least median square fitting algorithm is used to extract a Bezier surface from the data set. Second, from this initial surface model an analysis of the data set is performed to eliminate outliers. Third, the algorithm then improves the fit over the residual points by modifying the weights of a rational Bezier surface using a non-linear optimization method. A further improvement of the fit is achieved using a new intrinsic parameterization technique. Fourth, an approximation of the region boundary is performed using a NURB with knots. Experimental results show that the current algorithm is robust and can precisely approximate complex surfaces.

Paper Details

Date Published: 20 August 1993
PDF: 11 pages
Proc. SPIE 2059, Sensor Fusion VI, (20 August 1993); doi: 10.1117/12.150271
Show Author Affiliations
Pierre Boulanger, National Research Council Canada (Canada)
Iwao Sekita, Electrotechnical Lab. (Japan)

Published in SPIE Proceedings Vol. 2059:
Sensor Fusion VI
Paul S. Schenker, Editor(s)

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