Issue No. 05 - May (2012 vol. 18)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2010.257
H. P. H. Shum , RIKEN, Saitama, Japan
T. Komura , Univ. of Edinburgh, Edinburgh, UK
S. Yamazaki , DHRC, AIST, Tokyo, Japan
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.
search problems, computer animation, minimax techniques, kinematic constraint, multiple character interaction simulation, collaborative goal, adversarial goal, multiple character animation synthesis, interaction competition, interaction collaboration, min-max search, strategic game, dense character interaction, collective sports, martial arts, animation production, geometric constraint, Games, Animation, Computational modeling, Motion segmentation, Optimization, Equations, Electronic mail, character interaction., Character animation
T. Komura, H. P. Shum and S. Yamazaki, "Simulating Multiple Character Interactions with Collaborative and Adversarial Goals," in IEEE Transactions on Visualization & Computer Graphics, vol. 18, no. , pp. 741-752, 2012.