crta
Hrvatska znanstvena Sekcija img
bibliografija
3 gif
 Naslovna
 O projektu
 FAQ
 Kontakt
4 gif
Pregledavanje radova
Jednostavno pretraživanje
Napredno pretraživanje
Skupni podaci
Upis novih radova
Upute
Ispravci prijavljenih radova
Ostale bibliografije
Slični projekti
 Bibliografske baze podataka

Pregled bibliografske jedinice broj: 249752

Zbornik radova

Autori: Ribarić, Slobodan; Marčetić, Darijan; Samaržija, Branko
Naslov: Registration Techniques for High-Resolution Visual and Low-Resolution Infrared Images
Izvornik: Proceedings of the 29th International Convention MIPRO 2006 : Computers in Technical Systems and Intelligent Systems ; Vol. III / Budin, Leo ; Ribarić, Slobodan (ur.). - Opatija : MIPRO , 2006. 148-153.
Skup: International Convention MIPRO 2006 : With MIPRO to Knowledge Society (29 ; 2006)
Mjesto i datum: Opatija, Hrvatska, 22.-26.05.2006.
Ključne riječi: image registration; data fusion; Gaussian pyramid; visual-infrared registration
Sažetak:
The paper describes the process of overlaying two images of the same scene taken at the same time, from nearly the same viewpoints by different sensors. One image is a high-resolution RGB visual image and the second one is a low-resolution infrared image. The registration process is needed for data fusion at different levels: from a sensor level to a decision level. Image registration consists of four basic steps: feature detection, feature matching, mapping function design and image transformation. We have experimented with two registration techniques. For both of them, the Gaussian pyramid is used to adjust proper image dimensionality and reduce the computational cost due to the large visual image size. After that, the Canny operator and Hough transform are applied to detect line segments. The first technique uses line segments as features for robust map-to-image registration, while the second technique is based on the straight linear segments, which are grouped to form triangles. For the first technique, the matching and estimation of a projective transformation that optimally aligns transformed model map-to-line segments is obtained by optimizing an objective function. The second technique attempts to find the best matching transformation from the set of candidate transformations by evaluating matching the transformed set of source segments to the set of destination segments. The matching quality function is based on the distance of the two segment sets. Both techniques have been tested on the set of high-resolution RGB and low-resolution infrared images of a heated metal object, as well as on the set of images of facades.
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Projekt / tema: 0036025
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo



  Verzija za printanje   za tiskati


upomoc
foot_4