TY - GEN
T1 - Diversified virtual camera composition
AU - Preuss, M.
AU - Burelli, Paolo
AU - Yannakakis, Georgios N.
PY - 2012/1/1
Y1 - 2012/1/1
N2 - The expressive use of virtual cameras and the automatic generation of cinematics within 3D environments shows potential to extend the communicative power of films into games and virtual worlds. In this paper we present a novel solution to the problem of virtual camera composition based on niching and restart evolutionary algorithms that addresses the problem of diversity in shot generation by simultaneously identifying multiple valid camera camera configurations. We asses the performance of the proposed solution against a set of state-of-the-art algorithms in virtual camera optimisation.
AB - The expressive use of virtual cameras and the automatic generation of cinematics within 3D environments shows potential to extend the communicative power of films into games and virtual worlds. In this paper we present a novel solution to the problem of virtual camera composition based on niching and restart evolutionary algorithms that addresses the problem of diversity in shot generation by simultaneously identifying multiple valid camera camera configurations. We asses the performance of the proposed solution against a set of state-of-the-art algorithms in virtual camera optimisation.
UR - http://www.scopus.com/inward/record.url?scp=84859321125&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-29178-4_27
DO - 10.1007/978-3-642-29178-4_27
M3 - Article in proceeding
AN - SCOPUS:84859321125
VL - 7248 LNCS
T3 - Lecture Notes in Computer Science
SP - 265
EP - 274
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer
ER -