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Infrared-Visual Image Registration Based on Corners and Hausdorff Distance (CROSBI ID 132793)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Hrkać, Tomislav ; Kalafatić, Zoran ; Krapac, Josip Infrared-Visual Image Registration Based on Corners and Hausdorff Distance // Lecture notes in computer science, 4522 (2007), 383-392. doi: 10.1007/978-3-540-73040-8_39

Podaci o odgovornosti

Hrkać, Tomislav ; Kalafatić, Zoran ; Krapac, Josip

engleski

Infrared-Visual Image Registration Based on Corners and Hausdorff Distance

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.

multimodal image registration ; corners ; Hausdorff distance

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Podaci o izdanju

4522

2007.

383-392

objavljeno

0302-9743

1611-3349

10.1007/978-3-540-73040-8_39

Povezanost rada

Računarstvo

Poveznice
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