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Author (up) M. Cruz; Cristhian A. Aguilera-Carrasco; Boris X. Vintimilla; Ricardo Toledo; Angel Sappa edit  openurl
  Title Cross-spectral image registration and fusion: an evaluation study Type Conference Article
  Year 2015 Publication 2nd International Conference on Machine Vision and Machine Learning Abbreviated Journal  
  Volume Issue Pages  
  Keywords multispectral imaging; image registration; data fusion; infrared and visible spectra  
  Abstract This paper presents a preliminary study on the registration and fusion of cross-spectral imaging. The objective is to evaluate the validity of widely used computer vision approaches when they are applied at different
spectral bands. In particular, we are interested in merging images from the infrared (both long wave infrared: LWIR and near infrared: NIR) and visible spectrum (VS). Experimental results with different data sets are presented.
 
  Address Barcelona; July 2015  
  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 ISBN Medium  
  Area Expedition Conference MVML  
  Notes ADAS; 600.076 Approved no  
  Call Number Admin @ si @ CAV2015 Serial 2629  
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