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图学学报

• 智能设计与数字化设计 • 上一篇    下一篇

面向设计的装饰纹样基因生成算法研究

  

  1. (1. 北京邮电大学网络技术研究院,北京 100876; 
    2. 北京邮电大学世纪学院移动媒体与文化计算北京市重点实验室,北京 102101)
  • 出版日期:2019-08-31 发布日期:2019-08-30
  • 基金资助:
    北京市科委课题项目(D171100003717003);甘肃省人才引进项目(2015-RC-47)

Research on the Design-Oriented Ornament Pattern  Gene Regeneration Algorithm

  1. (1. Institute of Network Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China; 
    2. Mobile Media and Cultural Calculation Key Laboratory of Beijing, Century College, Beijing University of  Posts and Telecommunications, Beijing 102101, China)
  • Online:2019-08-31 Published:2019-08-30

摘要: 摘 要:如何在图案生成过程中加入文化元素,使得生成图案能够传承一定的文化内涵 是研究的关键问题。选取植物装饰纹样中的代表性纹样卷草纹作为研究对象,首先提出图 案文化基因概念,并在此基础上将一个卷草纹样中有代表性的曲线分支作为其图案文化基 因;进而提出一种改进的卷草纹样生成算法,从平衡因素进行考虑,利用 Runge-Kutta 方法 进行物理模拟粒子在向量场中运动并将其作为生成规则,将设置的初始基元集利用生成规 则进行卷草纹样的生成,同时设置曲线 ID 及区域 ID 防止不同分支之间相交或出界;最后 将其运用到地毯、建筑、瓷器、剪纸等方面进行再设计,从而能够很好地进行创新应用和 文化传承。

关键词: 关 键 词:图案文化基因, 装饰纹样, 生成算法

Abstract: Abstract: The present study focuses on the key issue of how to add the cultural elements into the process of pattern generation, making the generation of patterns capable of inheriting certain cultural connotations. Taking the scroll pattern as the research object, which is representative of plant decoration pattern, the paper firstly proposes the concept of pattern culture gene, and then, a representative curve branch of a scroll pattern is used as its pattern culture gene. Considering the balance factor, the Runge-Kutta method is used as a generation rule to simulate the movement of particles in the vector field. The initial set of primitives is used by the generation rule to generate the scroll pattern. At the same time, the curve ID and the area ID are set to prevent the intersection or demarcation between different branches. Finally, the Runge-Kutta method is applied to redesign carpets, buildings, porcelain and paper cutting etc., for a better achievement of innovative applications and cultural inheritances.

Key words: Keywords: pattern cultural gene, decoration pattern, generation algorithm