Title: Improved Algorithm for Principal Curvature Estimation in Point Clouds due to Optimized Osculating Circle Fitting based on Geometric Algebra
Authors: Getto, Roman
Hildenbrand, Dietmar
Citation: WSCG '2011: Communication Papers Proceedings: The 19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 105-112.
Issue Date: 2011
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2011/!_2011_WSCG-Short_Papers.pdf
ISBN: 978-80-86943-82-4
Keywords: geometrická algebra;bodové sety;bodové mraky;zakřivení;zpracování obrazu
Keywords in different language: geometric algebra;point sets;point clouds;curvature;image processing
Abstract: In this paper we introduce our improvements and innovations to an algorithm for the estimation of principal curvatures in point clouds. The major part of the improvement is achieved by the use of a new osculating circle fitting. In this paper, first of all, we explain the algorithm for Principal Curvature Estimation, as well as the previous osculating circle fitting. Then we present the new osculating circle fitting and an additional possibility of improving the results by a method, which adjusts some variables of the algorithm at runtime, to adapt the algorithm to the denseness of the particular point cloud. Furthermore, we present some results of the new methods. To complete this paper, we give a conclusion and an outlook.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2011: Communication Papers Proceedings

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