Full Text:   <6230>

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CLC number: TP301.6

On-line Access: 2022-10-24

Received: 2021-02-22

Revision Accepted: 2022-10-24

Crosschecked: 2021-06-20

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Citations:  Bibtex RefMan EndNote GB/T7714




Yunhe PAN


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Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.10 P.1479-1493


Visual knowledge guided intelligent generation of Chinese seal carving

Author(s):  Kejun ZHANG, Rui ZHANG, Yehang YIN, Yifei LI, Wenqi WU, Lingyun SUN, Fei WU, Huanghuang DENG, Yunhe PAN

Affiliation(s):  College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   zhangkejun@zju.edu.cn, zhang_rui@zju.edu.cn, panyh@zju.edu.cn

Key Words:  Seal-carving, Intelligent generation, Deep learning, Parametric modeling, Computational art

Kejun ZHANG, Rui ZHANG, Yehang YIN, Yifei LI, Wenqi WU, Lingyun SUN, Fei WU, Huanghuang DENG, Yunhe PAN. Visual knowledge guided intelligent generation of Chinese seal carving[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(10): 1479-1493.

@article{title="Visual knowledge guided intelligent generation of Chinese seal carving",
author="Kejun ZHANG, Rui ZHANG, Yehang YIN, Yifei LI, Wenqi WU, Lingyun SUN, Fei WU, Huanghuang DENG, Yunhe PAN",
journal="Frontiers of Information Technology & Electronic Engineering",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Visual knowledge guided intelligent generation of Chinese seal carving
%A Kejun ZHANG
%A Yehang YIN
%A Yifei LI
%A Wenqi WU
%A Lingyun SUN
%A Fei WU
%A Huanghuang DENG
%A Yunhe PAN
%J Frontiers of Information Technology & Electronic Engineering
%V 23
%N 10
%P 1479-1493
%@ 2095-9184
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2100094

T1 - Visual knowledge guided intelligent generation of Chinese seal carving
A1 - Kejun ZHANG
A1 - Rui ZHANG
A1 - Yehang YIN
A1 - Yifei LI
A1 - Wenqi WU
A1 - Lingyun SUN
A1 - Fei WU
A1 - Huanghuang DENG
A1 - Yunhe PAN
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
IS - 10
SP - 1479
EP - 1493
%@ 2095-9184
Y1 - 2022
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2100094

We digitally reproduce the process of resource collaboration, design creation, and visual presentation of Chinese seal-carving art. We develop an intelligent seal-carving art-generation system (Zhejiang University Intelligent seal-carving System, http://www.next.zju.edu.cn/seal/; the website of the seal-carving 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 computational art approach. The knowledge base in this study is the Qiushi seal-carving 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 seal-carving art.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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