Virtual Camera Composition with Particle Swarm Optimisation

Paolo Burelli; Luca Di Gaspero; Andrea Ermetici; Roberto Ranon

Virtual Camera Composition with Particle Swarm Optimisation

Paolo Burelli
, Luca Di Gaspero
, Andrea Ermetici
, Roberto Ranon

University of Udine

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

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. In this paper, we propose an approach to VCC based on Particle Swarm Optimization. We show, in realistic situations, that our approach outperforms a discretized, exhaustive search method similar to a proposal by Bares et al.

Originalsprog	Engelsk
Titel	International symposium on Smart Graphics
Antal sider	12
Forlag	Springer
Publikationsdato	2008
Sider	130
Kapitel	141
Status	Udgivet - 2008

Emneord

Virtual Camera Composition
Particle Swarm Optimization
Cinematographic Properties
Automatic Camera Positioning
Visual Computing

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Virtual Camera Composition with Particle Swarm OptimisatioAccepteret manuskript, 1,1 MB

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title = "Virtual Camera Composition with Particle Swarm Optimisation",

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. In this paper, we propose an approach to VCC based on Particle Swarm Optimization. We show, in realistic situations, that our approach outperforms a discretized, exhaustive search method similar to a proposal by Bares et al.",

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author = "Paolo Burelli and \{Di Gaspero\}, Luca and Andrea Ermetici and Roberto Ranon",

year = "2008",

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TY - GEN

T1 - Virtual Camera Composition with Particle Swarm Optimisation

AU - Burelli, Paolo

AU - Di Gaspero, Luca

AU - Ermetici, Andrea

AU - Ranon, Roberto

PY - 2008

Y1 - 2008

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. In this paper, we propose an approach to VCC based on Particle Swarm Optimization. We show, in realistic situations, that our approach outperforms a discretized, exhaustive search method similar to a proposal by Bares et al.

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. In this paper, we propose an approach to VCC based on Particle Swarm Optimization. We show, in realistic situations, that our approach outperforms a discretized, exhaustive search method similar to a proposal by Bares et al.

KW - Virtual Camera Composition

KW - Particle Swarm Optimization

KW - Cinematographic Properties

KW - Automatic Camera Positioning

KW - Visual Computing

KW - Virtual Camera Composition

KW - Particle Swarm Optimization

KW - Cinematographic Properties

KW - Automatic Camera Positioning

KW - Visual Computing

M3 - Article in proceedings

SP - 130

BT - International symposium on Smart Graphics

PB - Springer

ER -

Virtual Camera Composition with Particle Swarm Optimisation

Abstract

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Citationsformater