2022, Volume 23, Issue 10
Frontiers of Information Technology & Electronic Engineering >> 2022, Volume 23, Issue 10 doi: 10.1631/FITEE.2100094
Visual knowledge guided intelligent generation of Chinese seal carving
Affiliation(s): College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China; Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Hangzhou 310027, China; School of Software Technology, Zhejiang University, Hangzhou 310027, China; less
Next Previous
Abstract
We digitally reproduce the process of resource collaboration, design creation, and visual presentation of Chinese art. We develop an intelligent art-generation system (Zhejiang University Intelligent System, http://www.next.zju.edu.cn/seal/; the website of the search and layout system is http://www.next.zju.edu.cn/seal/search_app/) to deal with the difficulty in using a visual knowledge guided approach. The knowledge base in this study is the Qiushi Database, which consists of open datasets of images of seal characters and seal stamps. We propose a seal character generation method based on visual knowledge, guided by the database and expertise. Furthermore, to create the layout of the seal, we propose a deformation algorithm to adjust the seal characters and calculate layout parameters from the database and knowledge to achieve an intelligent structure. Experimental results show that this method and system can effectively deal with the difficulties in the generation of seal carving. Our work provides theoretical and applied references for the rebirth and innovation of art.
Keywords
Seal-carving ; Intelligent generation ; Deep learning ; Parametric modeling ; Computational art
京公网安备 11010502051620号
