Naslov
Surface Registration Using Genetic Algorithm in Reduced Search Space

Autori
Hrgetić, Vedran ; Pribanić, Tomislav

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the Croatian Computer Vision Workshop, Year 1 / Lončarić, Sven ; Šegvić, Siniša - Zagreb : University of Zagreb, Croatia, 2013, 49-52

Skup
Second Croatian Computer Vision Workshop (CCVW 2013)

Mjesto i datum
Zagreb, Hrvatska, 19.09.2013

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
computer vision; surface registration; 3D reconstruction; genetic algorithm

Sažetak
Surface registration is a technique that is used in various areas such as object recognition and 3D model reconstruction. Problem of surface registration can be analyzed as an optimization problem of seeking a rigid motion between two different views. Genetic algorithms can be used for solving this optimization problem, both for obtaining the robust parameter estimation and for its fine-tuning. The main drawback of genetic algorithms is that they are time consuming which makes them unsuitable for online applications. Modern acquisition systems enable the implementation of the solutions that would immediately give the information on the rotational angles between the different views, thus reducing the dimension of the optimization problem. The paper gives an analysis of the genetic algorithm implemented in the conditions when the rotation matrix is known and a comparison of these results with results when this information is not available.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

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