Feature Point Descriptors: Infrared and Visible Spectra

This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum. Robustness to changes in rotation, scaling, blur, and additive noise are analyzed using...

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Detalles Bibliográficos
Autores principales: Ricaurte, Pablo, Chilán, Carmen, Aguilera-Carrasco, Cristhian A., Vintimilla, Boris X., Sappa, Angel D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3958214/
https://www.ncbi.nlm.nih.gov/pubmed/24566634
http://dx.doi.org/10.3390/s140203690
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author Ricaurte, Pablo
Chilán, Carmen
Aguilera-Carrasco, Cristhian A.
Vintimilla, Boris X.
Sappa, Angel D.
author_facet Ricaurte, Pablo
Chilán, Carmen
Aguilera-Carrasco, Cristhian A.
Vintimilla, Boris X.
Sappa, Angel D.
author_sort Ricaurte, Pablo
collection PubMed
description This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum. Robustness to changes in rotation, scaling, blur, and additive noise are analyzed using a state of the art framework. Experimental results using a cross-spectral outdoor image data set are presented and conclusions from these experiments are given.
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spelling pubmed-39582142014-03-20 Feature Point Descriptors: Infrared and Visible Spectra Ricaurte, Pablo Chilán, Carmen Aguilera-Carrasco, Cristhian A. Vintimilla, Boris X. Sappa, Angel D. Sensors (Basel) Article This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum. Robustness to changes in rotation, scaling, blur, and additive noise are analyzed using a state of the art framework. Experimental results using a cross-spectral outdoor image data set are presented and conclusions from these experiments are given. Molecular Diversity Preservation International (MDPI) 2014-02-21 /pmc/articles/PMC3958214/ /pubmed/24566634 http://dx.doi.org/10.3390/s140203690 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Ricaurte, Pablo
Chilán, Carmen
Aguilera-Carrasco, Cristhian A.
Vintimilla, Boris X.
Sappa, Angel D.
Feature Point Descriptors: Infrared and Visible Spectra
title Feature Point Descriptors: Infrared and Visible Spectra
title_full Feature Point Descriptors: Infrared and Visible Spectra
title_fullStr Feature Point Descriptors: Infrared and Visible Spectra
title_full_unstemmed Feature Point Descriptors: Infrared and Visible Spectra
title_short Feature Point Descriptors: Infrared and Visible Spectra
title_sort feature point descriptors: infrared and visible spectra
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3958214/
https://www.ncbi.nlm.nih.gov/pubmed/24566634
http://dx.doi.org/10.3390/s140203690
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AT aguileracarrascocristhiana featurepointdescriptorsinfraredandvisiblespectra
AT vintimillaborisx featurepointdescriptorsinfraredandvisiblespectra
AT sappaangeld featurepointdescriptorsinfraredandvisiblespectra

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