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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/FITEE.2100094


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):  State Key Lab of CAD & CG, 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, 1998, -1(-1): .

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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",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2100094"
}

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%A Yehang YIN
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%A Lingyun SUN
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A1 - Lingyun SUN
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DOI - 10.1631/FITEE.2100094


Abstract: 
We digitally reproduced the process of resource collaboration, design creation, and visual presentation of Chinese seal-carving art. We developed 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: http://www.next.zju.edu.cn/seal/search_app/) to solve the difficulties 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 proposed a seal character-generation method based on visual knowledge and guided by the database and expertise. Further, to create the layout of the seal, we proposed a deformation algorithm to adjust the seal characters and calculate layout parameters from the database and knowledge to achieve an intelligent structure. Experiments show that this method and system can effectively solve 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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