In this paper we present a novel approach to 3D stereo-matching which uses an evolutionary algorithm in order to optimise 3D reconstruction. Common techniques in the field of 3D models generation are employed together with a Genetic Algorithm (GA) which is able to improve the results of the matching process. A general overview of the most relevant approaches is given in order to contextualise our method and to analyse its strength-points and potentialities. Details of the implemented GA are discussed with a particular focus on the constraints used in order to obtain better results. Experimental results of the trials carried out are given in a final stage together with concluding remarks and some cues for further research

Stereo – Matching Techniques using Optimisation Using Evolutionary Algorithms / Bevilacqua, Vitoantonio; Mastronardi, Giuseppe; Menolascina, F.; Nitti, D. (LECTURE NOTES IN COMPUTER SCIENCE). - In: Intelligent Computing / [a cura di] De-Shuang Huang, Kang Li, George William Irwin. - [s.l], 2006. - ISBN 978-354037271-4. - pp. 612-621 [10.1007/11816157_73]

Stereo – Matching Techniques using Optimisation Using Evolutionary Algorithms

BEVILACQUA, Vitoantonio;MASTRONARDI, Giuseppe;
2006-01-01

Abstract

In this paper we present a novel approach to 3D stereo-matching which uses an evolutionary algorithm in order to optimise 3D reconstruction. Common techniques in the field of 3D models generation are employed together with a Genetic Algorithm (GA) which is able to improve the results of the matching process. A general overview of the most relevant approaches is given in order to contextualise our method and to analyse its strength-points and potentialities. Details of the implemented GA are discussed with a particular focus on the constraints used in order to obtain better results. Experimental results of the trials carried out are given in a final stage together with concluding remarks and some cues for further research
2006
Intelligent Computing
978-354037271-4
Stereo – Matching Techniques using Optimisation Using Evolutionary Algorithms / Bevilacqua, Vitoantonio; Mastronardi, Giuseppe; Menolascina, F.; Nitti, D. (LECTURE NOTES IN COMPUTER SCIENCE). - In: Intelligent Computing / [a cura di] De-Shuang Huang, Kang Li, George William Irwin. - [s.l], 2006. - ISBN 978-354037271-4. - pp. 612-621 [10.1007/11816157_73]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/12754
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