20 August 1993 Automatic extraction of complex surface models from range images using a trimmed-rational Bezier surface
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Proceedings Volume 2059, Sensor Fusion VI; (1993); doi: 10.1117/12.150271
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pierre Boulanger, Iwao Sekita, "Automatic extraction of complex surface models from range images using a trimmed-rational Bezier surface", Proc. SPIE 2059, Sensor Fusion VI, (20 August 1993); doi: 10.1117/12.150271; https://doi.org/10.1117/12.150271
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KEYWORDS
Sensor fusion

Image segmentation

Data modeling

Image fusion

Image processing

Radon

Tolerancing

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