@InProceedings{FernandoBarrera2010,
author="Fernando Barrera
and Felipe Lumbreras
and Angel Sappa",
title="Multimodal Template Matching based on Gradient and Mutual Information using Scale-Space",
booktitle="17th IEEE International Conference on Image Processing",
year="2010",
pages="2749--2752",
abstract="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.",
optnote="ADAS",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1358), last updated on Wed, 19 Feb 2014 11:01:33 +0100",
isbn="978-1-4244-7992-4",
issn="1522-4880",
doi="10.1109/ICIP.2010.5653815"
}