A graph matching based key point correspondence method for lunar surface images

Yuren Zhang; Xu Yang; Hong Qiao; Zhiyong Liu; Chuankai Liu; Baofeng Wang

doi:10.1109/WCICA.2016.7578355

A graph matching based key point correspondence method for lunar surface images

Yuren Zhang
, Xu Yang
, Hong Qiao
, Zhiyong Liu
, Chuankai Liu
, Baofeng Wang

CAS - Institute of Automation
CAS Center for Excellence in Brain Science and Intelligence Technology
Beijing Aerospace Flight Control Center

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Key point correspondence plays an important role in lunar surface image processing. Since lunar surface images often contain obvious illumination changes, noisy points and repetitive patterns, traditional appearance based algorithms may fail when local appearance descriptors become less distinctive. In this paper, we introduce a graph matching based algorithm to tackle this problem. First, by incorporating structural information, key point sets in lunar surface images are represented by graphs. Then key point correspondence is formulated as a specific graph matching problem which aims to find a specified number of best assignments, and effectively approximately solved. Finally, an outlier assignment elimination method is proposed based on the affine invariance assumption. Simulations on both benchmark datasets and lunar surface images witness the effectiveness of the proposed method.

Original language	English
Title of host publication	Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1825-1830
Number of pages	6
ISBN (Electronic)	9781467384148
DOIs	https://doi.org/10.1109/WCICA.2016.7578355
State	Published - 27 Sep 2016
Externally published	Yes
Event	12th World Congress on Intelligent Control and Automation, WCICA 2016 - Guilin, China Duration: 12 Jun 2016 → 15 Jun 2016

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume	2016-September

Conference

Conference	12th World Congress on Intelligent Control and Automation, WCICA 2016
Country/Territory	China
City	Guilin
Period	12/06/16 → 15/06/16

Access to Document

10.1109/WCICA.2016.7578355

Cite this

Zhang, Y., Yang, X., Qiao, H., Liu, Z., Liu, C., & Wang, B. (2016). A graph matching based key point correspondence method for lunar surface images. In Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016 (pp. 1825-1830). Article 7578355 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2016-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCICA.2016.7578355

Zhang, Yuren ; Yang, Xu ; Qiao, Hong et al. / A graph matching based key point correspondence method for lunar surface images. Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1825-1830 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)).

@inproceedings{7a124d8dcbf84136b408f4b46c76256b,

title = "A graph matching based key point correspondence method for lunar surface images",

abstract = "Key point correspondence plays an important role in lunar surface image processing. Since lunar surface images often contain obvious illumination changes, noisy points and repetitive patterns, traditional appearance based algorithms may fail when local appearance descriptors become less distinctive. In this paper, we introduce a graph matching based algorithm to tackle this problem. First, by incorporating structural information, key point sets in lunar surface images are represented by graphs. Then key point correspondence is formulated as a specific graph matching problem which aims to find a specified number of best assignments, and effectively approximately solved. Finally, an outlier assignment elimination method is proposed based on the affine invariance assumption. Simulations on both benchmark datasets and lunar surface images witness the effectiveness of the proposed method.",

author = "Yuren Zhang and Xu Yang and Hong Qiao and Zhiyong Liu and Chuankai Liu and Baofeng Wang",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 12th World Congress on Intelligent Control and Automation, WCICA 2016 ; Conference date: 12-06-2016 Through 15-06-2016",

year = "2016",

month = sep,

day = "27",

doi = "10.1109/WCICA.2016.7578355",

language = "英语",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1825--1830",

booktitle = "Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016",

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Zhang, Y, Yang, X, Qiao, H, Liu, Z, Liu, C & Wang, B 2016, A graph matching based key point correspondence method for lunar surface images. in Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016., 7578355, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), vol. 2016-September, Institute of Electrical and Electronics Engineers Inc., pp. 1825-1830, 12th World Congress on Intelligent Control and Automation, WCICA 2016, Guilin, China, 12/06/16. https://doi.org/10.1109/WCICA.2016.7578355

A graph matching based key point correspondence method for lunar surface images. / Zhang, Yuren; Yang, Xu; Qiao, Hong et al.
Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1825-1830 7578355 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2016-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Zhang, Yuren

AU - Yang, Xu

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AU - Wang, Baofeng

PY - 2016/9/27

Y1 - 2016/9/27

N2 - Key point correspondence plays an important role in lunar surface image processing. Since lunar surface images often contain obvious illumination changes, noisy points and repetitive patterns, traditional appearance based algorithms may fail when local appearance descriptors become less distinctive. In this paper, we introduce a graph matching based algorithm to tackle this problem. First, by incorporating structural information, key point sets in lunar surface images are represented by graphs. Then key point correspondence is formulated as a specific graph matching problem which aims to find a specified number of best assignments, and effectively approximately solved. Finally, an outlier assignment elimination method is proposed based on the affine invariance assumption. Simulations on both benchmark datasets and lunar surface images witness the effectiveness of the proposed method.

AB - Key point correspondence plays an important role in lunar surface image processing. Since lunar surface images often contain obvious illumination changes, noisy points and repetitive patterns, traditional appearance based algorithms may fail when local appearance descriptors become less distinctive. In this paper, we introduce a graph matching based algorithm to tackle this problem. First, by incorporating structural information, key point sets in lunar surface images are represented by graphs. Then key point correspondence is formulated as a specific graph matching problem which aims to find a specified number of best assignments, and effectively approximately solved. Finally, an outlier assignment elimination method is proposed based on the affine invariance assumption. Simulations on both benchmark datasets and lunar surface images witness the effectiveness of the proposed method.

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ER -

Zhang Y, Yang X, Qiao H, Liu Z, Liu C, Wang B. A graph matching based key point correspondence method for lunar surface images. In Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1825-1830. 7578355. (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)). doi: 10.1109/WCICA.2016.7578355

A graph matching based key point correspondence method for lunar surface images

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