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Author (up) Fernando Barrera; Felipe Lumbreras; Angel Sappa edit  doi
isbn  openurl
  Title Multimodal Template Matching based on Gradient and Mutual Information using Scale-Space Type Conference Article
  Year 2010 Publication 17th IEEE International Conference on Image Processing Abbreviated Journal  
  Volume Issue Pages 2749–2752  
  Keywords  
  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.  
  Address Hong-Kong  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1522-4880 ISBN 978-1-4244-7992-4 Medium  
  Area Expedition Conference ICIP  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ BLS2010 Serial 1358  
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