Global search for occlusion minimisation in virtual camera control

Paolo Burelli; Georgios N. Yannakakis

doi:10.1109/CEC.2010.5586503

Global search for occlusion minimisation in virtual camera control

Paolo Burelli, Georgios N. Yannakakis

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

13 Citationer (Scopus)

Abstract

This paper presents a fast and reliable global-search approach to the problem of virtual camera positioning when multiple objects that need to be within the reach of the camera are fully occluded. For this purpose, a comparative analysis of global-search algorithms is presented for the problem of maximising camera visibility across different tasks of varying complexity and within different real-time windows. A custom-designed genetic algorithm is compared to octree-based search and random search and results showcase the advantages of the genetic algorithm proposed with respect to efficiency, robustness and computational effort.

Originalsprog	Engelsk
Titel	2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
Forlag	IEEE Press
Publikationsdato	1 jan. 2010
DOI	https://doi.org/10.1109/CEC.2010.5586503
Status	Udgivet - 1 jan. 2010
Udgivet eksternt	Ja
Begivenhed	IEEE Congress on Evolutionary Computation - Barcelona, Spanien Varighed: 18 jul. 2010 → 23 jul. 2010

Konference

Konference	IEEE Congress on Evolutionary Computation
Land/Område	Spanien
By	Barcelona
Periode	18/07/2010 → 23/07/2010

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10.1109/CEC.2010.5586503

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Citationsformater

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title = "Global search for occlusion minimisation in virtual camera control",

abstract = "This paper presents a fast and reliable global-search approach to the problem of virtual camera positioning when multiple objects that need to be within the reach of the camera are fully occluded. For this purpose, a comparative analysis of global-search algorithms is presented for the problem of maximising camera visibility across different tasks of varying complexity and within different real-time windows. A custom-designed genetic algorithm is compared to octree-based search and random search and results showcase the advantages of the genetic algorithm proposed with respect to efficiency, robustness and computational effort.",

author = "Paolo Burelli and Yannakakis, {Georgios N.}",

year = "2010",

month = jan,

day = "1",

doi = "10.1109/CEC.2010.5586503",

language = "English",

booktitle = "2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010",

publisher = "IEEE Press",

note = "IEEE Congress on Evolutionary Computation, IEEE CEC ; Conference date: 18-07-2010 Through 23-07-2010",

}

Global search for occlusion minimisation in virtual camera control. / Burelli, Paolo; Yannakakis, Georgios N.
2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010. IEEE Press, 2010.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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AU - Yannakakis, Georgios N.

PY - 2010/1/1

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N2 - This paper presents a fast and reliable global-search approach to the problem of virtual camera positioning when multiple objects that need to be within the reach of the camera are fully occluded. For this purpose, a comparative analysis of global-search algorithms is presented for the problem of maximising camera visibility across different tasks of varying complexity and within different real-time windows. A custom-designed genetic algorithm is compared to octree-based search and random search and results showcase the advantages of the genetic algorithm proposed with respect to efficiency, robustness and computational effort.

AB - This paper presents a fast and reliable global-search approach to the problem of virtual camera positioning when multiple objects that need to be within the reach of the camera are fully occluded. For this purpose, a comparative analysis of global-search algorithms is presented for the problem of maximising camera visibility across different tasks of varying complexity and within different real-time windows. A custom-designed genetic algorithm is compared to octree-based search and random search and results showcase the advantages of the genetic algorithm proposed with respect to efficiency, robustness and computational effort.

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DO - 10.1109/CEC.2010.5586503

M3 - Article in proceeding

AN - SCOPUS:79959456985

BT - 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

PB - IEEE Press

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Y2 - 18 July 2010 through 23 July 2010

ER -

Global search for occlusion minimisation in virtual camera control

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