A Graph based Calligraphy Similarity Compare Model | |
Pan, Guoyang1,3; Yang, Yi1; Li, Meng1; Hu, Xueyang4; Huang, Weixing1,2; Wang, Jian1; Wang,Yun1 | |
2021 | |
会议日期 | 2021-12-06 |
会议地点 | Hainan Island, China |
关键词 | calligraphy estimation graph similarity image process graph neural network |
英文摘要 | Calligraphy is one of the most famous traditional art in China. The Calligraphy copying practice is the inevitable phase when learning Calligraphy. Calligraphy character has structure and stroke attributes, such as length of stroke and the position distribution of subpart, which can identify each certain character. In this paper, we propose a graph neural network-based algorithm which can measure the similarity between two Calligraphy characters according to structure and stoke. Experiment shows that the proposed method gives satisfied results with respect to the similarity measurement for the Calligraphy copying practice. |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/47406] |
专题 | 数字内容技术与服务研究中心_智能技术与系统工程 |
通讯作者 | Wang, Jian |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.CASIA-Junsheng (Shenzhen) Intelligent & Big Data Sci-Tech Development Ltd. 3.School of Artificial Intelligence, University of Chinese Academy of Sciences 4.University of Maryland |
推荐引用方式 GB/T 7714 | Pan, Guoyang,Yang, Yi,Li, Meng,et al. A Graph based Calligraphy Similarity Compare Model[C]. 见:. Hainan Island, China. 2021-12-06. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论