ISSN : 1796-2048
Volume : 3    Issue : 3    Date : July 2008

An Interactive 3D Graphics Modeler Based on Simulated Human Immune System
Hiroaki Nishino, Takuya Sueyoshi, Tsuneo Kagawa, and Kouichi Utsumiya
Page(s): 51-60
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We propose an intuitive computer graphics authoring method based on interactive evolutionary
computation (IEC). Our previous systems employed genetic algorithm (GA) and mainly focused on
rapid exploration of a single optimum 3D graphics model. The proposed method adopts a different
computation strategy called immune algorithm (IA) to ease the creation of varied 3D models even if
a user doesn’t have any specific idea of final 3D products. Because artistic work like graphics
design needs a process to diversify the user’s imagery, a tool that allows the user to select his/her
preferred ones from a broad range of possible design solutions is particularly desired. IA enables
the user to effectively explore a wealth of solutions in a huge 3D parametric space by using its
essential mechanisms such as antibody formation and self-regulating function. We conducted an
experiment to verify the effectiveness of the proposed method. The results show that the proposed
method helps the user to easily generating wide variety of 3D graphics models.

Index Terms
3D computer graphics, human immune system, interactive evolutionary computation, geometric
modeling, genetic algorithm