Feature extraction from the mesh model with some noise

Li Zhong; Ma Lizhuang; Zheng Zuoyong; Tan Wuzheng

Feature extraction from the mesh model with some noise

Li Zhong, Ma Lizhuang, Zheng Zuoyong, Tan Wuzheng

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper presents a new feature extraction method on the mesh model with some noise. Firstly, we compute Mesh saliency value of every vertex on the mesh model. Then we set it as the weighted factor and employ the weighted bi-quadratic Bézier surface to fit the vertex and its neighborhood by the least square method. So we obtain the smoothed principal curvature and principal direction of every vertex, which can be used for detecting and extracting the feature point. The advantage of our method is that we can achieve the better feature extraction result from the mesh model with some noise.

Original language	English
Pages (from-to)	194-199
Number of pages	6
Journal	Lecture Notes in Computer Science
Volume	4569 LNCS
State	Published - 2007
Externally published	Yes
Event	8th International Symposium on Smart Graphics, SG 2007 - Kyoto, Japan Duration: 25 Jun 2007 → 27 Jun 2007

Cite this

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title = "Feature extraction from the mesh model with some noise",

abstract = "This paper presents a new feature extraction method on the mesh model with some noise. Firstly, we compute Mesh saliency value of every vertex on the mesh model. Then we set it as the weighted factor and employ the weighted bi-quadratic B{\'e}zier surface to fit the vertex and its neighborhood by the least square method. So we obtain the smoothed principal curvature and principal direction of every vertex, which can be used for detecting and extracting the feature point. The advantage of our method is that we can achieve the better feature extraction result from the mesh model with some noise.",

author = "Li Zhong and Ma Lizhuang and Zheng Zuoyong and Tan Wuzheng",

year = "2007",

language = "英语",

volume = "4569 LNCS",

pages = "194--199",

journal = "Lecture Notes in Computer Science",

issn = "0302-9743",

publisher = "Springer Science and Business Media Deutschland GmbH",

note = "8th International Symposium on Smart Graphics, SG 2007 ; Conference date: 25-06-2007 Through 27-06-2007",

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TY - JOUR

T1 - Feature extraction from the mesh model with some noise

AU - Zhong, Li

AU - Lizhuang, Ma

AU - Zuoyong, Zheng

AU - Wuzheng, Tan

PY - 2007

Y1 - 2007

N2 - This paper presents a new feature extraction method on the mesh model with some noise. Firstly, we compute Mesh saliency value of every vertex on the mesh model. Then we set it as the weighted factor and employ the weighted bi-quadratic Bézier surface to fit the vertex and its neighborhood by the least square method. So we obtain the smoothed principal curvature and principal direction of every vertex, which can be used for detecting and extracting the feature point. The advantage of our method is that we can achieve the better feature extraction result from the mesh model with some noise.

AB - This paper presents a new feature extraction method on the mesh model with some noise. Firstly, we compute Mesh saliency value of every vertex on the mesh model. Then we set it as the weighted factor and employ the weighted bi-quadratic Bézier surface to fit the vertex and its neighborhood by the least square method. So we obtain the smoothed principal curvature and principal direction of every vertex, which can be used for detecting and extracting the feature point. The advantage of our method is that we can achieve the better feature extraction result from the mesh model with some noise.

UR - https://www.scopus.com/pages/publications/38149103315

M3 - 会议文章

AN - SCOPUS:38149103315

SN - 0302-9743

VL - 4569 LNCS

SP - 194

EP - 199

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

T2 - 8th International Symposium on Smart Graphics, SG 2007

Y2 - 25 June 2007 through 27 June 2007

ER -

Feature extraction from the mesh model with some noise

Abstract

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