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
Descripción
Sumario: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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