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

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › 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.

Original language	English
Title of host publication	International symposium on Smart Graphics
Number of pages	12
Publisher	Springer
Publication date	2008
Pages	130
Chapter	141
Publication status	Published - 2008

Keywords

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

Access to Document

Virtual Camera Composition with Particle Swarm OptimisatioAccepted author manuscript, 1.1 MB

Cite this

@inproceedings{0fa01ba98f7d431f883d06f4166722ba,

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.",

keywords = "Virtual Camera Composition, Particle Swarm Optimization, Cinematographic Properties, Automatic Camera Positioning, Visual Computing, Virtual Camera Composition, Particle Swarm Optimization, Cinematographic Properties, Automatic Camera Positioning, Visual Computing",

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

year = "2008",

language = "English",

pages = "130",

booktitle = "International symposium on Smart Graphics",

publisher = "Springer",

address = "Germany",

}

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

Keywords

Access to Document

Fingerprint

Cite this