Elastic graph matching on gabor feature representation at low image resolution

Yasuomi Sato; Yasutaka Kuriya

doi:10.1007/978-3-642-33269-2_49

Elastic graph matching on gabor feature representation at low image resolution

Yasuomi Sato, Yasutaka Kuriya

INF - System Information Sciences

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

Abstract

We progressively improve conventional elastic graph matching (EGM) algorithm. In the conventional EGM, each node of a model graph can difficultly detect its corresponding precise position for the most similar Gabor feature extraction on an input low-resolution image. Solving this problem and then finding such a position, we propose a method that the node is allowed to fit among pixels by interpolating aliased Gabor feature representation between the pixels, which is calculated with the others extracted at the neighbor pixels. The model graph can thereby move to the most likely and more precise positions on the input low-resolution image.

Original language	English
Title of host publication	Artificial Neural Networks and Machine Learning, ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Proceedings
Pages	387-394
Number of pages	8
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-33269-2_49
Publication status	Published - 2012 Oct 25
Event	22nd International Conference on Artificial Neural Networks, ICANN 2012 - Lausanne, Switzerland Duration: 2012 Sep 11 → 2012 Sep 14

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	7552 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	22nd International Conference on Artificial Neural Networks, ICANN 2012
Country	Switzerland
City	Lausanne
Period	12/9/11 → 12/9/14

Keywords

Elastic Graph Matching
Interpolation for Aliased Gabor Feature Representation
Low Resolution Images

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-33269-2_49

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Cite this

Sato, Y., & Kuriya, Y. (2012). Elastic graph matching on gabor feature representation at low image resolution. In Artificial Neural Networks and Machine Learning, ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Proceedings (PART 1 ed., pp. 387-394). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7552 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-33269-2_49

Elastic graph matching on gabor feature representation at low image resolution. / Sato, Yasuomi; Kuriya, Yasutaka.

Artificial Neural Networks and Machine Learning, ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Proceedings. PART 1. ed. 2012. p. 387-394 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7552 LNCS, No. PART 1).

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

Sato, Y & Kuriya, Y 2012, Elastic graph matching on gabor feature representation at low image resolution. in Artificial Neural Networks and Machine Learning, ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 7552 LNCS, pp. 387-394, 22nd International Conference on Artificial Neural Networks, ICANN 2012, Lausanne, Switzerland, 12/9/11. https://doi.org/10.1007/978-3-642-33269-2_49

Sato Y, Kuriya Y. Elastic graph matching on gabor feature representation at low image resolution. In Artificial Neural Networks and Machine Learning, ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Proceedings. PART 1 ed. 2012. p. 387-394. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-642-33269-2_49

Sato, Yasuomi ; Kuriya, Yasutaka. / Elastic graph matching on gabor feature representation at low image resolution. Artificial Neural Networks and Machine Learning, ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Proceedings. PART 1. ed. 2012. pp. 387-394 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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