A neural network strategy for 3D surface registration

Heng Liu; Jingqi Yan; Dapeng Zhang

doi:10.1007/11751540_56

A neural network strategy for 3D surface registration

Heng Liu, Jingqi Yan, Dapeng Zhang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

3 Citations (Scopus)

Abstract

3D surface registration is commonly used in shape analysis, surface representation, and medical image aided surgery. This technique is extremely computationally expensive and sometimes will lead to bad result configured with unstructured mass data for its' iterative searching procedure and ill-suited distance function. In this paper, we propose a novel neural network strategy for surface registration. Before that, a typical preprocessing procedure-mesh PCA is used for coordinate direction normalization. The results and comparisons show such neural network method is a promising approach for 3D shape matching.

Original language	English
Title of host publication	Computational Science and Its Applications - ICCSA 2006
Subtitle of host publication	International Conference, Proceedings - Part I
Publisher	Springer Verlag
Pages	528-536
Number of pages	9
ISBN (Print)	354034070X, 9783540340706
DOIs	https://doi.org/10.1007/11751540_56
Publication status	Published - 1 Jan 2006
Event	ICCSA 2006: International Conference on Computational Science and Its Applications - Glasgow, United Kingdom Duration: 8 May 2006 → 11 May 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3980 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	ICCSA 2006: International Conference on Computational Science and Its Applications
Country/Territory	United Kingdom
City	Glasgow
Period	8/05/06 → 11/05/06

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

More information

10.1007/11751540_56

Cite this

Liu, H., Yan, J., & Zhang, D. (2006). A neural network strategy for 3D surface registration. In Computational Science and Its Applications - ICCSA 2006: International Conference, Proceedings - Part I (pp. 528-536). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3980 LNCS). Springer Verlag. https://doi.org/10.1007/11751540_56

Liu, Heng ; Yan, Jingqi ; Zhang, Dapeng. / A neural network strategy for 3D surface registration. Computational Science and Its Applications - ICCSA 2006: International Conference, Proceedings - Part I. Springer Verlag, 2006. pp. 528-536 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{237466771c614023a5167ec208c1df28,

title = "A neural network strategy for 3D surface registration",

abstract = "3D surface registration is commonly used in shape analysis, surface representation, and medical image aided surgery. This technique is extremely computationally expensive and sometimes will lead to bad result configured with unstructured mass data for its' iterative searching procedure and ill-suited distance function. In this paper, we propose a novel neural network strategy for surface registration. Before that, a typical preprocessing procedure-mesh PCA is used for coordinate direction normalization. The results and comparisons show such neural network method is a promising approach for 3D shape matching.",

author = "Heng Liu and Jingqi Yan and Dapeng Zhang",

year = "2006",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

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booktitle = "Computational Science and Its Applications - ICCSA 2006",

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Liu, H, Yan, J & Zhang, D 2006, A neural network strategy for 3D surface registration. in Computational Science and Its Applications - ICCSA 2006: International Conference, Proceedings - Part I. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3980 LNCS, Springer Verlag, pp. 528-536, ICCSA 2006: International Conference on Computational Science and Its Applications, Glasgow, United Kingdom, 8/05/06. https://doi.org/10.1007/11751540_56

A neural network strategy for 3D surface registration. / Liu, Heng; Yan, Jingqi; Zhang, Dapeng.
Computational Science and Its Applications - ICCSA 2006: International Conference, Proceedings - Part I. Springer Verlag, 2006. p. 528-536 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3980 LNCS).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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N2 - 3D surface registration is commonly used in shape analysis, surface representation, and medical image aided surgery. This technique is extremely computationally expensive and sometimes will lead to bad result configured with unstructured mass data for its' iterative searching procedure and ill-suited distance function. In this paper, we propose a novel neural network strategy for surface registration. Before that, a typical preprocessing procedure-mesh PCA is used for coordinate direction normalization. The results and comparisons show such neural network method is a promising approach for 3D shape matching.

AB - 3D surface registration is commonly used in shape analysis, surface representation, and medical image aided surgery. This technique is extremely computationally expensive and sometimes will lead to bad result configured with unstructured mass data for its' iterative searching procedure and ill-suited distance function. In this paper, we propose a novel neural network strategy for surface registration. Before that, a typical preprocessing procedure-mesh PCA is used for coordinate direction normalization. The results and comparisons show such neural network method is a promising approach for 3D shape matching.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Liu H, Yan J, Zhang D. A neural network strategy for 3D surface registration. In Computational Science and Its Applications - ICCSA 2006: International Conference, Proceedings - Part I. Springer Verlag. 2006. p. 528-536. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11751540_56

A neural network strategy for 3D surface registration

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