中国邮电高校学报(英文) ›› 2022, Vol. 29 ›› Issue (2): 33-42.doi: 10.19682/j.cnki.1005-8885.2022.0014

所属专题: 文化计算专题

• Special Topic: Cultural Computing • 上一篇    下一篇

Surveys on line drawing simplification for Chinese cultural computing

陈佳舟1,Amal Ahmed Hasan Mohammed1,黄可妤1,缪永伟2   

  1. 1. 浙江工业大学
    2. 杭州师范大学
  • 收稿日期:2022-02-23 修回日期:2022-03-16 出版日期:2022-04-26 发布日期:2022-04-26
  • 通讯作者: 陈佳舟 E-mail:cjz@zjut.edu.cn
  • 基金资助:
    国家自然科学基金;国家自然科学基金;浙江省文物保护科技项目

Surveys on line drawing simplification for Chinese cultural computing


  • Received:2022-02-23 Revised:2022-03-16 Online:2022-04-26 Published:2022-04-26
  • Supported by:
    National Natural Science Foundation of China;National Natural Science Foundation of China

摘要:

In the recent decade, many approaches of rough line drawing simplification were proposed, but they are not well summarized yet, especially from the perspective of Chinese cultural computing. In this paper, a comprehensive review of existing line drawing simplification methods was presented, including their algorithms, advantages/ disadvantages, inputs/ outputs, datasets and source codes, etc. For raster line drawings, related implification work was discussed according to four main categories: fitting-based methods, tracing-based methods, field-based methods, and learning-based methods. For vector line drawings, a deep investigation was introduced for two major steps of simplification: stroke grouping and stroke merging. Finally, conclusions were given, key challenges and future directions of line drawing simplification for Chinese traditional art were thoroughly discussed.

关键词: line drawing, sketch, simplification, cultural computing

Abstract:

In the recent decade, many approaches of rough line drawing simplification were proposed, but they are not well summarized yet, especially from the perspective of Chinese cultural computing. In this paper, a comprehensive review of existing line drawing simplification methods was presented, including their algorithms, advantages/ disadvantages, inputs/ outputs, datasets and source codes, etc. For raster line drawings, related implification work was discussed according to four main categories: fitting-based methods, tracing-based methods, field-based methods, and learning-based methods. For vector line drawings, a deep investigation was introduced for two major steps of simplification: stroke grouping and stroke merging. Finally, conclusions were given, key challenges and future directions of line drawing simplification for Chinese traditional art were thoroughly discussed.

Key words: line drawing, sketch, simplification, cultural computing