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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings - Ninth International Conference on Computer Aided Design and Computer Graphics, CAD/CG 2005
PublisherIEEE Computer Society
Pages6-11
Number of pages6
ISBN (Print)0769524737, 9780769524733
DOIs
StatePublished - 2005
Externally publishedYes
Event9th International Conference on Computer Aided Design and Computer Graphics, CAD/CG 2005 - Hong Kong, China
Duration: Dec 7 2005Dec 10 2005

Publication series

NameProceedings - Ninth International Conference on Computer Aided Design and Computer Graphics, CAD/CG 2005
Volume2005

Other

Other9th International Conference on Computer Aided Design and Computer Graphics, CAD/CG 2005
Country/TerritoryChina
CityHong Kong
Period12/7/0512/10/05

All Science Journal Classification (ASJC) codes

  • General Engineering

Fingerprint

Dive into the research topics of 'Geometric property estimation from 3D range data points aided by local quadric surface fitting'. Together they form a unique fingerprint.

Cite this