Pro-actively Interactive Evolution for Computer Animation
Ik Soo Lim,Daniel Thalmann +1 more
- 01 Jan 1999
- pp 45-52
TL;DR: Using a point-for-point representation for genotype, the control both in selection and variation process is possible while the genotype represented by procedural rules in previous works allows it only in the selection.
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Abstract: This paper addresses the issue of allowing a user more control over the outcomes of interactive evolution for computer animation, a variation on genetic algorithms. By using a point-for-point representation for genotype, the control both in selection and variation process is possible while the genotype represented by procedural rules in previous works allows it only in the selection. We experimentally validate these points on generating different walk styles out of a prototype walk motion and also discuss about interactive evolution to be used as a general approach to setting parameters for computer graphics.
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Citations
Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation
Hideyuki Takagi
- 01 Sep 2001
TL;DR: This paper features a survey of about 250 IEC research papers and discusses the IEC from the point of the future research direction of computational intelligence.
Tournament selection for browsing temporal signals
Ik Soo Lim,Daniel Thalmann +1 more
- 01 Mar 2000
TL;DR: This paper applied an intu-itive technique to browsing and selecting among computer-animation clips for motion parameter setting and would also be applicable to browsing/selecting among retrieved candi-dates in audio/video retrieval systems.
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IEC-based motion retrieval system using Laban movement analysis
Yuki Wakayama,Seiji Okajima,Shigeru Takano,Yoshihiro Okada +3 more
- 08 Sep 2010
TL;DR: A motion retrieval system using Interactive Evolutionary Computation (IEC) based on Genetic Algorithm (GA) and motion features defined based on Laban Movement Analysis (LMA) used for the similarity calculation of motions in the system is proposed.
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Human Motion Retrieval System Based on LMA Features Using Interactive Evolutionary Computation Method
Seiji Okajima,Yuki Wakayama,Yoshihiro Okada +2 more
- 01 Jan 2012
TL;DR: The results indicate that the proposed motion retrieval system is effective for retrieving motion data from a motion database including many motions more than one thousand.
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Creating choreography with interactive evolutionary algorithms
Jonathan Eisenmann,Benjamin Schroeder,Matthew Lewis,Rick Parent +3 more
- 27 Apr 2011
TL;DR: A choreographic system that enables designers to explore a motion space based on a parametric model of behaviors, allowing designers to emphasize desired kinds of motion while leaving room for an element of the unexpected.
11
References
•Book
Computer Graphics: Principles and Practice
James D. Foley
- 01 Jan 1995
TL;DR: This chapter discusses the development of Hardware and Software for Computer Graphics, and the design methodology of User-Computer Dialogues, which led to the creation of the Simple Raster Graphics Package.
6K
•Book
Handbook of Evolutionary Computation
Thomas Bäck,David B. Fogel,Zbigniew Michalewicz +2 more
- 01 Jan 1997
TL;DR: The Oxford University Press and the Institute of Physics have joined forces to create a major reference publication devoted to EC fundamentals, models, algorithms and applications, intended to become the standard reference resource for the evolutionary computation community.
3.1K
Evolving 3d morphology and behavior by competition
TL;DR: This article describes a system for the evolution and coevolution of virtual creatures that compete in physically simulated three-dimensional worlds that can adapt to each other as they evolve simultaneously.
Retargetting motion to new characters
Michael Gleicher
- 24 Jul 1998
TL;DR: In this article, a spacetime constraints solver computes an adapted motion that re-establishes these constraints while preserving the frequency characteristics of the original signal, and demonstrate their approach on motion capture data.