%0 Conference Proceedings
%T Performance Evaluation of Feature Point Descriptors in the Infrared Domain
%A P. Ricaurte
%A C. Chilan
%A Cristhian A. Aguilera-Carrasco
%A Boris X. Vintimilla
%A Angel Sappa
%B 9th International Conference on Computer Vision Theory and Applications
%D 2014
%V 1
%F P. Ricaurte2014
%O ADAS; 600.055; 600.076
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2476), last updated on Tue, 25 Apr 2023 14:06:57 +0200
%X This paper presents a comparative evaluation of classical feature point descriptors when they are used in the long-wave infrared spectral band. Robustness to changes in rotation, scaling, blur, and additive noise are evaluated using a state of the art framework. Statistical results using an outdoor image data set are presented together with a discussion about the differences with respect to the results obtained when images from the visible spectrum are considered.
%K Infrared Imaging
%K Feature Point Descriptors
%U http://refbase.cvc.uab.es/files/RCA2014b.pdf
%U http://dx.doi.org/10.5220/0004725305450550
%P 545-550