%0 Conference Proceedings
%T Multimodal Template Matching based on Gradient and Mutual Information using Scale-Space
%A Fernando Barrera
%A Felipe Lumbreras
%A Angel Sappa
%B 17th IEEE International Conference on Image Processing
%D 2010
%@ 1522-4880
%@ 978-1-4244-7992-4
%F Fernando Barrera2010
%O ADAS
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1358), last updated on Wed, 19 Feb 2014 11:01:33 +0100
%X This paper presents the combined use of gradient and mutual information for infrared and intensity templates matching. We propose to joint: (i) feature matching in a multiresolution context and (ii) information propagation through scale-space representations. Our method consists in combining mutual information with a shape descriptor based on gradient, and propagate them following a coarse-to-fine strategy. The main contributions of this work are: to offer a theoretical formulation towards a multimodal stereo matching; to show that gradient and mutual information can be reinforced while they are propagated between consecutive levels; and to show that they are valid cost functions in multimodal template matchings. Comparisons are presented showing the improvements and viability of the proposed approach.
%U http://dx.doi.org/10.1109/ICIP.2010.5653815
%P 2749–2752