论文:2021,Vol:39,Issue(5):1097-1104
引用本文:
杨延璞, 雷紫荆, 兰晨昕, 王欣蕊, 龚政. 群体共识驱动的文化创意产品交互式配色设计方法研究[J]. 西北工业大学学报
YANG Yanpu, LEI Zijing, LAN Chenxin, WANG Xinrui, GONG Zheng. Research on interactive color design method of cultural creative product driven by group consensus[J]. Northwestern polytechnical university

群体共识驱动的文化创意产品交互式配色设计方法研究
杨延璞, 雷紫荆, 兰晨昕, 王欣蕊, 龚政
长安大学 工程机械学院, 陕西 西安 710064
摘要:
为有效辅助工业设计师进行文化创意产品配色设计,输出符合用户意象偏好的配色方案,提出了群体共识驱动的文化创意产品交互式配色设计方法。利用三角模糊数对用户群体的意象偏好进行量化描述,构建了群体意象偏好共识度模型,研究了交互式遗传配色设计的流程和基本原理,通过基于三角模糊数的群体一致性决策进行文化创意产品配色种群的交互式遗传进化操作,生成满足群体共识意象偏好与满意度的配色方案,通过色彩美度计算对最终方案进行优选。以兵马俑钥匙扣挂件形象配色设计为例,验证了所提方法能够有效融合群体用户的意象偏好,通过多用户决策一致性结果辅助工业设计师更好进行文化创意产品配色设计。
关键词:    文化创意产品    配色设计    群体共识    交互式遗传算法    色彩意象   
Research on interactive color design method of cultural creative product driven by group consensus
YANG Yanpu, LEI Zijing, LAN Chenxin, WANG Xinrui, GONG Zheng
School of Construction Machinery, Chang'an University, Xi'an 710064, China
Abstract:
Aiming at assisting the color design of cultural creative product and outputting color schemes that correspond to multi-user image preference effectively, an interactive color design method driven by group consensus was proposed in this paper. Firstly, the triangular fuzzy number was used to quantitatively descript users' image preference and a consensus degree model of group users' image preference was constructed. By studying the process and basic principles of interactive genetic algorithms, the interactive evolution operation for cultural creative product color design was then implemented based on the group consistency of decision-making combined with the triangular fuzzy number, which can help generate cultural creative product color schemes that satisfy group consensus and satisfaction. Next, the color aesthetic measure model was used to rank and select the final product color design schemes. Finally, taking the color design of terracotta warriors' statue as an example, it is verified that the proposed method can effectively integrate the image preference of group users, and assist designers to better conduct cultural creative product color design with the consistent results of multi-user decisions.
Key words:    cultural creative product    color design    group consensus    interactive genetic algorithms    color image   
收稿日期: 2021-02-24     修回日期:
DOI: 10.1051/jnwpu/20213951097
基金项目: 国家自然科学基金(51805043)、中国博士后基金(2019M663604)与陕西省创新能力支撑计划项目(2020PT-014)资助
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作者简介: 杨延璞(1984-),长安大学副教授,主要从事工业设计理论与方法研究。
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