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

Feature Point Descriptors: Infrared and Visible Spectra

1email, 1email, 2,3email, 1email and 1,3,* email
Received: 17 December 2013; in revised form: 13 February 2014 / Accepted: 14 February 2014 / Published: 21 February 2014
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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
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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.

AMA Style

Ricaurte P, Chilán C, Aguilera-Carrasco CA, Vintimilla BX, Sappa AD. Feature Point Descriptors: Infrared and Visible Spectra. Sensors. 2014; 14(2):3690-3701.

Chicago/Turabian Style

Ricaurte, Pablo; Chilán, Carmen; Aguilera-Carrasco, Cristhian A.; Vintimilla, Boris X.; Sappa, Angel D. 2014. "Feature Point Descriptors: Infrared and Visible Spectra." Sensors 14, no. 2: 3690-3701.

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