Pregled bibliografske jedinice broj: 301471
Infrared-Visual Image Registration Based on Corners and Hausdorff Distance
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 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 301471 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Infrared-Visual Image Registration Based on Corners and Hausdorff Distance
Autori
Hrkać, Tomislav ; Kalafatić, Zoran ; Krapac, Josip
Izvornik
Lecture notes in computer science (0302-9743) 4522
(2007);
383-392
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
multimodal image registration ; corners ; Hausdorff distance
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
MZO-ZP-036-0361935-1954 - Teorija, modeliranje i uporaba autonomno orijentiranih računarskih struktura (Ribarić, Slobodan, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus
