Generating diverse ethnic groups with genetic algorithms

Tomas Trescak; Anton Bogdanovych; Simeon Simoff; Inmaculada Rodriguez

Generating diverse ethnic groups with genetic algorithms

Tomas Trescak, Anton Bogdanovych, Simeon Simoff, Inmaculada Rodriguez

School of Computer, Data & Mathematical Sciences

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

12 Citations (Scopus)

Abstract

Simulating large crowds of virtual agents has become an important problem in virtual reality applications, video games, cinematography and training simulators. In this paper, we show how to achieve a high degree of appearance variation among individual 3D avatars in generated crowds through the use of genetic algorithms, while also manifesting unique characteristic features of a given population group. We show how virtual cities can be populated with diverse crowds of virtual agents that preserve their ethnic features, illustrate how our approach can be used to simulate full body avatar appearance, present a case study and analyze our results.

Original language	English
Title of host publication	VRST-12: Proceedings of the 18th ACM Symposium on Virtual Reality Software and Technology, December 10-12, 2012, Toronto, Canada
Publisher	Association for Computing Machinery
Number of pages	8
ISBN (Print)	9781450314695
Publication status	Published - 2012
Event	ACM Symposium on Virtual Reality Software and Technology - Duration: 10 Dec 2012 → …

Conference

Conference	ACM Symposium on Virtual Reality Software and Technology
Period	10/12/12 → …

Keywords

virtual reality
genetic algorithms
avatars (virtual reality)
crowds
computer simulation

Cite this

@inproceedings{ef8631a1aaba45f0965494ada92b8761,

title = "Generating diverse ethnic groups with genetic algorithms",

abstract = "Simulating large crowds of virtual agents has become an important problem in virtual reality applications, video games, cinematography and training simulators. In this paper, we show how to achieve a high degree of appearance variation among individual 3D avatars in generated crowds through the use of genetic algorithms, while also manifesting unique characteristic features of a given population group. We show how virtual cities can be populated with diverse crowds of virtual agents that preserve their ethnic features, illustrate how our approach can be used to simulate full body avatar appearance, present a case study and analyze our results.",

keywords = "virtual reality, genetic algorithms, avatars (virtual reality), crowds, computer simulation",

author = "Tomas Trescak and Anton Bogdanovych and Simeon Simoff and Inmaculada Rodriguez",

year = "2012",

language = "English",

isbn = "9781450314695",

booktitle = "VRST-12: Proceedings of the 18th ACM Symposium on Virtual Reality Software and Technology, December 10-12, 2012, Toronto, Canada",

publisher = "Association for Computing Machinery",

note = "ACM Symposium on Virtual Reality Software and Technology ; Conference date: 10-12-2012",

}

Generating diverse ethnic groups with genetic algorithms. / Trescak, Tomas ; Bogdanovych, Anton ; Simoff, Simeon et al.
VRST-12: Proceedings of the 18th ACM Symposium on Virtual Reality Software and Technology, December 10-12, 2012, Toronto, Canada. Association for Computing Machinery, 2012.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Generating diverse ethnic groups with genetic algorithms

AU - Trescak, Tomas

AU - Bogdanovych, Anton

AU - Simoff, Simeon

AU - Rodriguez, Inmaculada

PY - 2012

Y1 - 2012

N2 - Simulating large crowds of virtual agents has become an important problem in virtual reality applications, video games, cinematography and training simulators. In this paper, we show how to achieve a high degree of appearance variation among individual 3D avatars in generated crowds through the use of genetic algorithms, while also manifesting unique characteristic features of a given population group. We show how virtual cities can be populated with diverse crowds of virtual agents that preserve their ethnic features, illustrate how our approach can be used to simulate full body avatar appearance, present a case study and analyze our results.

AB - Simulating large crowds of virtual agents has become an important problem in virtual reality applications, video games, cinematography and training simulators. In this paper, we show how to achieve a high degree of appearance variation among individual 3D avatars in generated crowds through the use of genetic algorithms, while also manifesting unique characteristic features of a given population group. We show how virtual cities can be populated with diverse crowds of virtual agents that preserve their ethnic features, illustrate how our approach can be used to simulate full body avatar appearance, present a case study and analyze our results.

KW - virtual reality

KW - genetic algorithms

KW - avatars (virtual reality)

KW - crowds

KW - computer simulation

UR - http://handle.uws.edu.au:8081/1959.7/519445

UR - http://graphics.science.uoit.ca/vrst2012/Welcome.html

M3 - Conference Paper

SN - 9781450314695

BT - VRST-12: Proceedings of the 18th ACM Symposium on Virtual Reality Software and Technology, December 10-12, 2012, Toronto, Canada

PB - Association for Computing Machinery

T2 - ACM Symposium on Virtual Reality Software and Technology

Y2 - 10 December 2012

ER -

Generating diverse ethnic groups with genetic algorithms

Abstract

Conference

Keywords

Other files and links

Fingerprint

Cite this