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Surface Registration Using Genetic Algorithm in Reduced Search Space (CROSBI ID 604643)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Hrgetić, Vedran ; Pribanić, Tomislav Surface Registration Using Genetic Algorithm in Reduced Search Space // Proceedings of the Croatian Computer Vision Workshop, Year 1 / Lončarić, Sven ; Šegvić, Siniša (ur.). Zagreb: University of Zagreb, Croatia, 2013. str. 49-52

Podaci o odgovornosti

Hrgetić, Vedran ; Pribanić, Tomislav

engleski

Surface Registration Using Genetic Algorithm in Reduced Search Space

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.

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

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Podaci o prilogu

49-52.

2013.

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objavljeno

Podaci o matičnoj publikaciji

Proceedings of the Croatian Computer Vision Workshop, Year 1

Lončarić, Sven ; Šegvić, Siniša

Zagreb: University of Zagreb, Croatia

1849-1227

Podaci o skupu

Second Croatian Computer Vision Workshop (CCVW 2013)

poster

19.09.2013-19.09.2013

Zagreb, Hrvatska

Povezanost rada

Elektrotehnika, Računarstvo

Poveznice