EMOT - an evolutionary approach to 3D computer animation

• Autorzy: Kwaśnicka H. , Woźniak P.
• Języki publikacji: EN

Abstrakty

EN

Key-framing and Inverse Kinematics are popular animation methods, but new approaches are still developed. We propose a new evolutionary method of creating animation - the EMOT (Evolutionary MOTion) system. It enables automation of motion of animated characters and uses a new evolutionary approach - Gene Expression Programming (GEP). Characters are controlled by computer programs, an animator providing the way of motion's evaluation. GEP works with a randomly selected initial population, using directed but random selection. Experiments have shown that the proposed method is capable of developing robust controllers.

Słowa kluczowe

EN

gene expression programming; computer animation; simulation; motion

• Wydawca: Politechnika Gdańska
• Czasopismo: TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk
• Rocznik: 2007
• Tom: Vol. 11, No 1-2
• Strony: 71--86
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Kwaśnicka H.

autor

Woźniak P.

• Institute of Applied Informatics, Wroclaw University of Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wroclaw, Poland,

Bibliografia

• [1] Sims K 1994 Computer Graphics, Proc. SIGGRAPH'94, USA, pp. 15-22
• [2] Ferreira C 2001 Complex Systems 13 (2) 87
• [3] Ventrella J J 1995 Proc. Computer Animation '95, USA, IEEE Camp. Soc., pp. 35-42 http://www.ventrella.com/Alife/Disney/disney_0.html
• [4] Terzopoulos D 1999 Communications of the AGM 42 (8) 32
• [5] Gritz L and Hahn J K 1995 J. Visualization and Computer Animation 6 129
• [6] Burtnyk N and Wein M 1971 J. SMPTE 80 149
• [7] Leffler S J, Reeves W T and Ostby E F 1990 J. Visualization and Computer Animation 1 (1) 33
• [8] Helser A 1988, Electronic document http://www.cs.unc.edu/-helser/291/Animation_using_GAs.htm
• [9] Magnenat-Thalmann N M and Thalmann D (Eds) 1996 Computer Animation, Prentic Hall, USA
• [10] Maciejewski A A 1985 Proc. 12th Ann. Conf. Computer Graphics and Interactive Techniques, ACM Press, USA, pp. 263-270
• [11] Baerlocher P 2001 Inverse Kinematics Techniques for the Interactive Posture Control of Atriculated Figures, PhD Thesis, Ecole Poly technique Federale de Lausanne, France
• [12] Barzel R and Barr A H 1988 Proc. SIGGRAPH'88, ACM SIGGRAPH, USA 22, pp. 179-188
• [13] Baraff D 1993 Eurographics'93, State of the Art Reports, USA
• [14] Baraff D 1989 Proc. 16th Ann. Conf. Computer Graphics and Interactive Techniques, ACM Press, USA, pp. 223-232
• [15] Hahn J K 1988 Computer Graphics 22 (4) 299
• [16] Reynolds C W 1982 Computer Graphics 16 (3) 289
• [17] Reynolds C W 1987 Computer Graphics 21 (4) 25
• [18] Reeves W T 1983 AGM Trans. Graphics 2 (2) 91
• [19] Witkins A, Fleischer K and Barr A 1987 Computer Graphic 21 225
• [20] Witkins A and Kass M 1988 Computer Graphic 22 159
• [21] Ngo J T and Marks J 1993 Proc. 20th Ann. Conf. Computer Graphics and Interactive Techniques, ACM Press, USA, pp. 343-350
• [22] Reynolds C W 1994 Proc. 4th Int. Conf. Simulation of Adaptive Behavior, in "From Animals to Animats 4”, MIT Press, USA, pp. 401-410
• [23] Goldberg D E 1989 Genetic Algorithms in Search, Optimization, and Machine Learning, Addison- Wesley
• [24] Koza J R 1992 Genetic Programming: On the Programming of Computers By Means of Natural Selection, MIT Press
• [25] Kwaśnicka H 1999 Evolutionary Computation in Artificial Intelligence, Oficyna Wydawnicza Politechniki Wroclawskiej, Poland (in Polish)