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Proceedings Paper

Registration and data description in geometric model construction from range data
Author(s): J.-M. Vezien; Visa Koivunen
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Paper Abstract

Tools for constructing geometric model data from noisy 3-D sensor measurements of physical parts are presented. Optical non-contact sensors provide only partial data from one viewpoint because the signal does not reach all the surface points at a time. In order to obtain a complete 3-D data set, several data sets from different vantage points have to be merged. An approach for solving the relative transformation between the viewpoints is presented. The method is based on the iterative closest point algorithm which does not require feature-to-feature correspondences. Additional constraints on visibility and surface normals consistency are imposed in order to avoid incorrect matches. A mean square sum of the distances between observations and planar primitives is minimized. Surface triangulations and NURBS approximation are employed in model construction experiments. Registration and model construction examples are given using simulated and real range data.

Paper Details

Date Published: 22 October 1993
PDF: 10 pages
Proc. SPIE 2067, Videometrics II, (22 October 1993); doi: 10.1117/12.162124
Show Author Affiliations
J.-M. Vezien, Univ. of Pennsylvania (United States)
Visa Koivunen, Univ. of Pennsylvania (United States)


Published in SPIE Proceedings Vol. 2067:
Videometrics II
Sabry F. El-Hakim, Editor(s)

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