TU Darmstadt / ULB / TUbiblio

Improved Algorithm for Principal Curvature Estimation in Point Clouds due to Optimized Osculating Circle Fitting based on Geometric Algebra

Getto, Roman ; Hildenbrand, Dietmar (2011)
Improved Algorithm for Principal Curvature Estimation in Point Clouds due to Optimized Osculating Circle Fitting based on Geometric Algebra.
WSCG 2011. Communication Papers Proceedings.
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2011
Autor(en): Getto, Roman ; Hildenbrand, Dietmar
Art des Eintrags: Bibliographie
Titel: Improved Algorithm for Principal Curvature Estimation in Point Clouds due to Optimized Osculating Circle Fitting based on Geometric Algebra
Sprache: Englisch
Publikationsjahr: 2011
Verlag: University of West Bohemia, Plzen
Veranstaltungstitel: WSCG 2011. Communication Papers Proceedings
Kurzbeschreibung (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.

Freie Schlagworte: Forschungsgruppe Geometric Algebra Computing (GACO), Geometric algebra (GA), Point clouds, Curvature, Point sets, Osculating circle fitting
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 12 Nov 2018 11:16
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen