Infrared-Visual Image Registration Based on Corners and Hausdorff Distance

  • Tomislav Hrkać
  • Zoran Kalafatić
  • Josip Krapac
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4522)

Abstract

The paper presents an approach to multimodal image registration. The method is developed for aligning infrared (IR) and visual (RGB) images of facades. It is based on mapping clouds of points extracted by a corner detector applied to both images. The experiments show that corners are suitable features for our application. In the alignment process a number of transformation hypotheses is generated and evaluated. The evaluation is performed by measuring similarity between the RGB corners and the transformed corners from IR image. Directed partial Hausdorff distance is used as a robust similarity measure. The implemented system has been tested on various IR-RGB pairs of images of buildings. The results show that the method can be used for image registration, but also expose some typical problems.

Keywords

Image Registration Image Pair Registration Algorithm Corner Detector Harris Corner Detector 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Tomislav Hrkać
    • 1
  • Zoran Kalafatić
    • 1
  • Josip Krapac
    • 1
  1. 1.University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 ZagrebCroatia

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