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

Feature Point Descriptors: Infrared and Visible Spectra

CIDIS-FIEC, Escuela Superior Politécnica del Litoral (ESPOL), Campus Gustavo Galindo, Km 30.5 vía Perimetral, P.O. Box 09-01-5863, Guayaquil, Ecuador
Computer Science Department, Universitat Autònoma de Barcelona, Campus UAB, 08193 Bellaterra, Barcelona, Spain
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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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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MDPI and ACS Style

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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