Simulating multiple character interactions with collaborative and adversarial goals

Hubert P. H. Shum, Taku Komura, Shuntaro Yamazaki

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)

Abstract

This paper proposes a new methodology for synthesizing animations of multiple characters, allowing them to intelligently compete with one another in dense environments, while still satisfying requirements set by an animator. To achieve these two conflicting objectives simultaneously, our method separately evaluates the competition and collaboration of the interactions, integrating the scores to select an action that maximizes both criteria. We extend the idea of min-max search, normally used for strategic games such as chess. Using our method, animators can efficiently produce scenes of dense character interactions such as those in collective sports or martial arts. The method is especially effective for producing animations along story lines, where the characters must follow multiple objectives, while still accommodating geometric and kinematic constraints from the environment.
Original languageEnglish
Pages (from-to)741 -752
JournalIEEE Transactions on Visualization and Computer Graphics
Volume18
Issue number5
DOIs
Publication statusPublished - May 2012

Fingerprint

Dive into the research topics of 'Simulating multiple character interactions with collaborative and adversarial goals'. Together they form a unique fingerprint.

Cite this