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

Xiaobo Li

doi:10.1109/CAD-CG.2005.44

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

Xiaobo Li

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings - Ninth International Conference on Computer Aided Design and Computer Graphics, CAD/CG 2005
Pages	313-318
Number of pages	6
Volume	2005
DOIs	https://doi.org/10.1109/CAD-CG.2005.44
State	Published - Dec 1 2005
Externally published	Yes
Event	9th International Conference on Computer Aided Design and Computer Graphics, CAD/CG 2005 - Hong Kong, China Duration: Dec 7 2005 → Dec 10 2005

Other

Other	9th International Conference on Computer Aided Design and Computer Graphics, CAD/CG 2005
Country/Territory	China
City	Hong Kong
Period	12/7/05 → 12/10/05

All Science Journal Classification (ASJC) codes

Engineering(all)

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10.1109/CAD-CG.2005.44

Cite this

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title = "Geometric property estimation from 3D range data points aided by local quadric surface fitting",

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.",

author = "Xiaobo Li",

year = "2005",

month = dec,

day = "1",

doi = "10.1109/CAD-CG.2005.44",

language = "English (US)",

isbn = "0769524737",

volume = "2005",

pages = "313--318",

booktitle = "Proceedings - Ninth International Conference on Computer Aided Design and Computer Graphics, CAD/CG 2005",

note = "9th International Conference on Computer Aided Design and Computer Graphics, CAD/CG 2005 ; Conference date: 07-12-2005 Through 10-12-2005",

}

Li, X 2005, Geometric property estimation from 3D range data points aided by local quadric surface fitting. in Proceedings - Ninth International Conference on Computer Aided Design and Computer Graphics, CAD/CG 2005. vol. 2005, 1604653, pp. 313-318, 9th International Conference on Computer Aided Design and Computer Graphics, CAD/CG 2005, Hong Kong, China, 12/7/05. https://doi.org/10.1109/CAD-CG.2005.44

TY - GEN

T1 - Geometric property estimation from 3D range data points aided by local quadric surface fitting

AU - Li, Xiaobo

PY - 2005/12/1

Y1 - 2005/12/1

N2 - 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.

AB - 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.

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U2 - 10.1109/CAD-CG.2005.44

DO - 10.1109/CAD-CG.2005.44

M3 - Conference contribution

AN - SCOPUS:33847326397

SN - 0769524737

SN - 9780769524733

VL - 2005

SP - 313

EP - 318

BT - Proceedings - Ninth International Conference on Computer Aided Design and Computer Graphics, CAD/CG 2005

T2 - 9th International Conference on Computer Aided Design and Computer Graphics, CAD/CG 2005

Y2 - 7 December 2005 through 10 December 2005

ER -

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

Abstract

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All Science Journal Classification (ASJC) codes

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