Virtual camera composition with particle swarm optimization

Paolo Burelli; A. Ermetici; R. Ranon; L. Di Gaspero

doi:10.1007/978-3-540-85412-8_12

Virtual camera composition with particle swarm optimization

Paolo Burelli, A. Ermetici, R. Ranon, L. Di Gaspero

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

23 Citationer (Scopus)

Abstract

The Virtual Camera Composition (VCC) problem consists in automatically positioning a camera in a virtual world, such that the resulting image satisfies a set of visual cinematographic properties [3]. In this paper, we propose an approach to VCC based on Particle Swarm Optimization [5]. We show, in realistic situations, that our approach outperforms a discretized, exhaustive search method similar to a proposal by Bares et al [1].

Originalsprog	Engelsk
Titel	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Redaktører	Andreas Butz, Brian Fisher, Antonio Krüger, Patrick Olivier, Marc Christie
Antal sider	12
Vol/bind	5166 LNCS
Forlag	Springer Publishing Company
Publikationsdato	1 jan. 2008
Sider	130-141
DOI	https://doi.org/10.1007/978-3-540-85412-8_12
Status	Udgivet - 1 jan. 2008
Udgivet eksternt	Ja
Begivenhed	9th International Symposium, SG 2008 - Rennes, Frankrig Varighed: 27 aug. 2008 → 29 aug. 2008

Konference

Konference	9th International Symposium, SG 2008
Land/Område	Frankrig
By	Rennes
Periode	27/08/2008 → 29/08/2008

Navn	Lecture Notes in Computer Science
Vol/bind	5166
ISSN	0302-9743

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10.1007/978-3-540-85412-8_12

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Citationsformater

Burelli, P., Ermetici, A., Ranon, R., & Di Gaspero, L. (2008). Virtual camera composition with particle swarm optimization. I A. Butz, B. Fisher, A. Krüger, P. Olivier, & M. Christie (red.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Bind 5166 LNCS, s. 130-141). Springer Publishing Company. https://doi.org/10.1007/978-3-540-85412-8_12

Burelli, Paolo ; Ermetici, A. ; Ranon, R. et al. / Virtual camera composition with particle swarm optimization. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). red. / Andreas Butz ; Brian Fisher ; Antonio Krüger ; Patrick Olivier ; Marc Christie. Bind 5166 LNCS Springer Publishing Company, 2008. s. 130-141 (Lecture Notes in Computer Science, Bind 5166).

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title = "Virtual camera composition with particle swarm optimization",

abstract = "The Virtual Camera Composition (VCC) problem consists in automatically positioning a camera in a virtual world, such that the resulting image satisfies a set of visual cinematographic properties [3]. In this paper, we propose an approach to VCC based on Particle Swarm Optimization [5]. We show, in realistic situations, that our approach outperforms a discretized, exhaustive search method similar to a proposal by Bares et al [1].",

author = "Paolo Burelli and A. Ermetici and R. Ranon and {Di Gaspero}, L.",

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booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Burelli, P, Ermetici, A, Ranon, R & Di Gaspero, L 2008, Virtual camera composition with particle swarm optimization. i A Butz, B Fisher, A Krüger, P Olivier & M Christie (red), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). bind 5166 LNCS, Springer Publishing Company, Lecture Notes in Computer Science, bind 5166, s. 130-141, 9th International Symposium, SG 2008, Rennes, Frankrig, 27/08/2008. https://doi.org/10.1007/978-3-540-85412-8_12

Virtual camera composition with particle swarm optimization. / Burelli, Paolo; Ermetici, A.; Ranon, R. et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). red. / Andreas Butz; Brian Fisher; Antonio Krüger; Patrick Olivier; Marc Christie. Bind 5166 LNCS Springer Publishing Company, 2008. s. 130-141 (Lecture Notes in Computer Science, Bind 5166).

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

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AU - Ranon, R.

AU - Di Gaspero, L.

PY - 2008/1/1

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N2 - The Virtual Camera Composition (VCC) problem consists in automatically positioning a camera in a virtual world, such that the resulting image satisfies a set of visual cinematographic properties [3]. In this paper, we propose an approach to VCC based on Particle Swarm Optimization [5]. We show, in realistic situations, that our approach outperforms a discretized, exhaustive search method similar to a proposal by Bares et al [1].

AB - The Virtual Camera Composition (VCC) problem consists in automatically positioning a camera in a virtual world, such that the resulting image satisfies a set of visual cinematographic properties [3]. In this paper, we propose an approach to VCC based on Particle Swarm Optimization [5]. We show, in realistic situations, that our approach outperforms a discretized, exhaustive search method similar to a proposal by Bares et al [1].

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VL - 5166 LNCS

T3 - Lecture Notes in Computer Science

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BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

A2 - Butz, Andreas

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Burelli P, Ermetici A, Ranon R, Di Gaspero L. Virtual camera composition with particle swarm optimization. I Butz A, Fisher B, Krüger A, Olivier P, Christie M, red., Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Bind 5166 LNCS. Springer Publishing Company. 2008. s. 130-141. (Lecture Notes in Computer Science, Bind 5166). doi: 10.1007/978-3-540-85412-8_12

Virtual camera composition with particle swarm optimization

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