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图学学报 ›› 2024, Vol. 45 ›› Issue (1): 209-218.DOI: 10.11996/JG.j.2095-302X.2024010209

• 计算机图形学与虚拟现实 • 上一篇    下一篇

TCPVis:基于谢赫六法的传统中国绘画画派可视分析系统

王斯加1(), 封颖超杰1, 朱航1, 张玮1, 朱琳1, 陈为1,2()   

  1. 1.浙江大学计算机辅助设计与图形系统全国重点实验室,浙江 杭州 310058
    2.浙江大学艺术与考古图像数据实验室,浙江 杭州 310058
  • 收稿日期:2023-06-29 接受日期:2023-10-25 出版日期:2024-02-29 发布日期:2024-02-29
  • 通讯作者: 陈为(1976-),男,教授,博士。主要研究方向为可视化、可视分析等。E-mail:chenvis@zju.edu.cn
  • 作者简介:

    王斯加(1998-),女,硕士研究生。主要研究方向为可视分析。E-mail:xd.wsj@163.com

  • 基金资助:
    中央高校基本科研业务费专项资金资助(226-2022-00235)

TCPVis: visual analysis system of traditional Chinese painting school based on six principles of Chinese painting

WANG Sijia1(), FENG Yingchaojie1, ZHU Hang1, ZHANG Wei1, ZHU Lin1, CHEN Wei1,2()   

  1. 1. State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou Zhejiang 310058, China
    2. Laboratory of Art and Archaeology Image (Zhejiang University), Ministry of Education, Hangzhou Zhejiang 310058, China
  • Received:2023-06-29 Accepted:2023-10-25 Online:2024-02-29 Published:2024-02-29
  • Contact: CHEN Wei (1976-), professor, Ph.D. His main research interests cover visualization, visual analysis, etc. E-mail:chenvis@zju.edu.cn
  • About author:

    WANG Sijia (1998-), master student. Her main research interest covers visual analysis. E-mail:xd.wsj@163.com

  • Supported by:
    Fundamental Research Funds for the Central Universities(226-2022-00235)

摘要:

传统中国绘画(国画)在历史的发展中形成了多种多样的画派体系。对画派的分析有助于人们更好地理解与赏析国画的价值。然而,现有工具无法直观高效地表现画作集合的绘画风格等一系列代表性特征。基于“谢赫六法”,提出了一个国画画派可视分析系统TCPVis,以支持用户分析国画画派的笔法、物象、赋彩等多维度特征。系统能够自动分析画派作品在六法维度上的特征共性,并推荐维度的权重。同时,它可视化了六法维度的标签分布以支持用户验证。基于六法维度权重,系统对画作集合进行降维聚类展示,帮助用户探索更多风格相似的画作,并支持画作的画家关联性分析。通过两个案例研究和领域专家访谈,证明了该系统对于分析画派特征与探索画派更多画家的有效性与可用性。

浙江大学陈为教授及其学生王斯加等基于谢赫六法提出了一个国画画派可视分析系统TCPVis,以支持用户分析国画画派的笔法、物象、赋彩等多维度特征。系统能够自动分析画派作品在六法维度上的特征共性,并推荐维度的权重。同时,它可视化了六法维度的标签分布以支持用户验证。基于六法维度权重,系统对画作集合进行降维聚类展示,帮助用户探索更多风格相似的画作,并支持画作的画家关联性分析。通过两个案例研究和领域专家访谈,证明了该系统对于分析画派特征与探索画派更多画家的有效性与可用性。

关键词: 传统中国绘画, 可视分析, 谢赫六法, 画派分析, 数字人文

Abstract:

Traditional Chinese painting (TCP), throughout its historical development, has formed a diverse array of painting schools. Analyzing these painting schools can greatly enhance our understanding and appreciation of the value of TCP. However, existing tools are limited in intuitively and effectively representing the distinctive stylistic features of the paintings. In response, we proposed TCPVis, a visual analysis system for multi-dimensional features analysis of painting schools in TCP based on the Six Principles of Chinese Painting. This system could automatically analyze the common features of different schools across these six principles, recommend dimension weights, and visualize the label distribution of the Six Principles dimensions to support user verification. The system also presented the collection of paintings according to the dimensionality reduction of weighted painting features, assisting users in exploring more stylistically similar paintings, and supporting the analysis of painter correlations for the paintings. The effectiveness and usability of the system in analyzing features of painting schools and exploring more painters were demonstrated through two case studies and interviews with experts.

Key words: traditional Chinese painting, visual analysis, six principles of Chinese painting, painting school analysis, digital humanities

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