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Geometric property estimation from 3D range data points aided by local quadric surface fitting

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1 Author(s)
Xiaobo Li ; Inst. of Autom., Chinese Acad. of Sci., Beijing, China

Geometric property estimation of the scattered point data is a key task in reverse engineering. A common approach is to estimate the local surface geometric properties, such as normal, vectors and curvatures, at each point by locally fitting a low order parametric polynomial surface to a neighborhood of its nearest points. However, existing parametric surface methods do not always achieve satisfactory estimates because of theoretical and practical reasons. Motivated by improving geometric properties estimation we propose a novel approach based on local quadric surface fitting. Experimental results are presented to verify the feasibility of the proposed method.

Published in:

Computer Aided Design and Computer Graphics, 2005. Ninth International Conference on

Date of Conference:

7-10 Dec. 2005