Interactive Evolutionary Design of Motion Variants

Aus de_evolutionary_art_org
Wechseln zu: Navigation, Suche

Reference

Jonathan Eisenmann, Matthew Lewis, Bryan Cline: Interactive Evolutionary Design of Motion Variants. IJCCI 2009: 127-134.

DOI

Abstract

This paper presents an intuitive method for novice users to interactively design custom populations of stylized, heterogeneous motion, from one input motion clip, thus allowing the user to amplify an existing database of motions. We allow the user to set up lattice deformers which are used by a genetic algorithm to manipulate the animation channels of the input motion and create new motion variations. Our interactive evolutionary design environment allows the user to traverse the available space of possible motions, presents the user with populations of motion, and gradually converges to a satisfactory set of solutions. Each generated motion sequence can undergo a motion filtering process subject to user-specified, high-level metrics to produce a result crafted to fit the designer’s interest.

Extended Abstract

Bibtex

Used References

Amaya, K., Bruderlin, A., and Calvert, T. (1996). Emotion from motion. In Graphics Interface ’96, pages 222– 229.

Bezirtzis, B. G., Lewis, M., and Christeson, C. (2007). In- teractive evolution for industrial design. In C&C ’07: Proceedings of the 6th ACM SIGCHI Conference on Creativity & Cognition, pages 183–192, New York, NY, USA. ACM.

Chi, D., Costa, M., Zhao, L., and Badler, N. (2000). The emote model for effort and shape. In SIGGRAPH ’00 Proceedings, pages 173–182, New York, NY, USA. ACM Press/Addison-Wesley Publishing Co.

Gleicher, M. (2001). Comparing constraint-based motion editing methods. Graphical Models, 63(2):107–134.

Ko, H. and Badler, N. I. (1996). Animating human locomo- tion with inverse dynamics. Computer Graphics and Applications, IEEE, 16(2):50–59.

Kovar, L., Gleicher, M., and Pighin, F. (2002). Motion graphs. In SIGGRAPH ’02 Proceedings, volume 21, pages 473–482, New York, NY, USA. ACM Press.

Kwon, T., Lee, K. H., Lee, J., and Takahashi, S. (2008). Group motion editing. In SIGGRAPH ’08 Proceed- ings, pages 1–8, New York, NY, USA. ACM.

Li, T.-Y. and Wang, C.-C. (2007). An evolutionary ap- proach to crowd simulation. In Autonomous Robots and Agents, pages 119–126.

Lim, I. S. and Thalmann, D. (2000). Tournament selec- tion for browsing temporal signals. In Symposium on Applied Computing ’00 Proceedings, pages 570–573, New York, NY, USA. ACM.

Marks, J. et al. (1997). Design galleries: a general ap- proach to setting parameters for computer graphics and animation. In SIGGRAPH ’97 Proceedings, pages 389–400, New York, NY, USA. ACM Press/Addison- Wesley Publishing Co.

Massive Software (2009). Massive prime. Accessed online www.massivesoftware.com/prime/.

Mcdonnell, R., Larkin, M., Dobbyn, S., Collins, S., and O’Sullivan, C. (2008). Clone attack! perception of crowd variety. In SIGGRAPH ’08 Proceedings, vol- ume 27, pages 1–8, New York, NY, USA. ACM.

M ̈uller, A. (2004). Collision avoiding continuation method for the inverse kinematics of redundant manipulators. In Robotics and Automation ’04 Proceedings, vol- ume 2, pages 1593–1598 Vol.2.

Musse, S. R. and Thalmann, D. (2001). Hierarchical model for real time simulation of virtual human crowds. Vi- sualization and Computer Graphics, IEEE Transac- tions, 7(2):152–164.

Neff, M. and Fiume, E. (2005). Aer: aesthetic explo- ration and refinement for expressive character anima- tion. In SCA ’05: Proceedings of the 2005 ACM SIG- GRAPH/Eurographics symposium on Computer ani- mation, pages 161–170, New York, NY, USA. ACM Press.

Sims, K. (1993). Interactive evolution of equations for pro- cedural models. The Visual Computer, 9(8):466–476.

Sung, M. (2007). Continuous motion graph for crowd sim- ulation. In Technologies for E-Learning and Dig- ital Entertainment, volume 4469, pages 202–213. Springer Berlin / Heidelberg.

Sung, M., Kovar, L., and Gleicher, M. (2005). Fast and accurate goal-directed motion synthesis for crowds. In Symposium on Computer Animation ’05 Proceedings, pages 291–300, New York, NY, USA. ACM Press.

Tak, S., Song, O.-Y., and Ko, H.-S. (2002). Spacetime sweeping: An interactive dynamic constraints solver. In Computer Animation ’02 Proceedings, pages 261– 271, Washington, DC, USA. IEEE Computer Society.

Treuille, A., Cooper, S., and Popovic, Z. (2006). Continuum crowds. ACM Transactions on Graphics, 25(3):1160–1168.

Ventrella, J. (1995). Disney meets darwin-the evolution of funny animated figures. Computer Animation, 00.

Wang, J., Drucker, S. M., Agrawala, M., and Cohen, M. F. (2006). The cartoon animation filter. ACM Transac- tions on Graphics, 25(3):1169–1173.


Links

Full Text

http://accad.osu.edu/Projects/Evo/motionVariants.pdf

intern file

Sonstige Links