Image characterization from statistical reduction of local patterns

Philippe Guermeur; Antoine Manzanera

doi:10.1007/978-3-642-10268-4_67

Image characterization from statistical reduction of local patterns

Philippe Guermeur
, Antoine Manzanera

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

Abstract

This paper tackles the image characterization problem from a statistical analysis of local patterns in one or several images. The induced image characteristics are not defined a priori, but depends on the content of the images to process. These characteristics are also simple image descriptors and thus considering an histogram of these elementary descriptors enables to apply "bags of words" techniques. Relevance of the approach is assessed when dealing with the image recognition problem in a robot application framework.

Original language	English
Title of host publication	Progress in Pattern Recognition, Image Analysis, Computer Vision and Applications - 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, Proceedings
Pages	571-578
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-10268-4_67
Publication status	Published - 1 Dec 2009
Event	14th Iberoamerican Conference on Pattern Recognition, CIARP 2009 - Guadalajara, Jalisco, Mexico Duration: 15 Nov 2009 → 18 Nov 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5856 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th Iberoamerican Conference on Pattern Recognition, CIARP 2009
Country/Territory	Mexico
City	Guadalajara, Jalisco
Period	15/11/09 → 18/11/09

Keywords

Histogram comparison
Image recognition
Vector quantization

Access to Document

10.1007/978-3-642-10268-4_67

Cite this

Guermeur, P., & Manzanera, A. (2009). Image characterization from statistical reduction of local patterns. In Progress in Pattern Recognition, Image Analysis, Computer Vision and Applications - 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, Proceedings (pp. 571-578). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5856 LNCS). https://doi.org/10.1007/978-3-642-10268-4_67

Guermeur, Philippe ; Manzanera, Antoine. / Image characterization from statistical reduction of local patterns. Progress in Pattern Recognition, Image Analysis, Computer Vision and Applications - 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, Proceedings. 2009. pp. 571-578 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Guermeur, P & Manzanera, A 2009, Image characterization from statistical reduction of local patterns. in Progress in Pattern Recognition, Image Analysis, Computer Vision and Applications - 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5856 LNCS, pp. 571-578, 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, Guadalajara, Jalisco, Mexico, 15/11/09. https://doi.org/10.1007/978-3-642-10268-4_67

Image characterization from statistical reduction of local patterns. / Guermeur, Philippe; Manzanera, Antoine.
Progress in Pattern Recognition, Image Analysis, Computer Vision and Applications - 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, Proceedings. 2009. p. 571-578 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5856 LNCS).

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

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AB - This paper tackles the image characterization problem from a statistical analysis of local patterns in one or several images. The induced image characteristics are not defined a priori, but depends on the content of the images to process. These characteristics are also simple image descriptors and thus considering an histogram of these elementary descriptors enables to apply "bags of words" techniques. Relevance of the approach is assessed when dealing with the image recognition problem in a robot application framework.

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KW - Image recognition

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Guermeur P, Manzanera A. Image characterization from statistical reduction of local patterns. In Progress in Pattern Recognition, Image Analysis, Computer Vision and Applications - 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, Proceedings. 2009. p. 571-578. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-10268-4_67

Image characterization from statistical reduction of local patterns

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