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Sensors 2014, 14(2), 3690-3701; doi:10.3390/s140203690
Article

Feature Point Descriptors: Infrared and Visible Spectra

1
,
1
,
2,3
,
1
 and
1,3,*
1 CIDIS-FIEC, Escuela Superior Politécnica del Litoral (ESPOL), Campus Gustavo Galindo, Km 30.5 vía Perimetral, P.O. Box 09-01-5863, Guayaquil, Ecuador 2 Computer Science Department, Universitat Autònoma de Barcelona, Campus UAB, 08193 Bellaterra, Barcelona, Spain 3 Computer Vision Center, Edifici O, Campus UAB, 08193 Bellaterra, Barcelona, Spain
* Author to whom correspondence should be addressed.
Received: 17 December 2013 / Revised: 13 February 2014 / Accepted: 14 February 2014 / Published: 21 February 2014
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Abstract

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.
Keywords: cross-spectral imaging; feature point descriptors cross-spectral imaging; feature point descriptors
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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Ricaurte, P.; Chilán, C.; Aguilera-Carrasco, C.A.; Vintimilla, B.X.; Sappa, A.D. Feature Point Descriptors: Infrared and Visible Spectra. Sensors 2014, 14, 3690-3701.

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