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Feature-oriented writing process reproduction of Chinese calligraphic artwork

Published: 24 November 2014 Publication History

Abstract

Reproducing the writing process of ancient handwritten artworks is a popular way to appreciating and learning the expert skills of Chinese calligraphy. This paper presents a system for reappearing the writing processes of calligraphic characters in different styles. In order to convey the accurate brush skill inside a stroke, a calligraphic character is first decomposed into several strokes, then the writing trajectory and footprint data of each stroke are calculated based on the edge and skeleton, which reveal the relations between shape description and writing skills, and finally the character can be rendered in the oriental ink style dynamically along the trajectory using our writing rhythm and brush footprint models. Consequently, the animation of calligraphy writing can be produced with both shape and spirit features conveyed ([see PDF]), and thus provides a visual and relax way to the comprehension of the complicated and difficult techniques in Chinese calligraphy.

References

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Chu, N. S.-H., and Tai, C.-L. 2002. An efficient brush model for physically-based 3D painting. In Computer Graphics and Applications, IEEE, 413--421.
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Kwok, K. W., Wong, S. M., Lo, K. W., and Yam, Y. 2006. Genetic algorithm-based brush stroke generation for replication of Chinese calligraphic character. In IEEE Congress on Evolutionary Computation, CEC'06, IEEE, 1057--1064.
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Lee, J. 1999. Simulating oriental black-ink painting. Computer Graphics and Applications, IEEE 19, 3 (May), 74--81.
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Lee, J. 2001. Diffusion rendering of black ink paintings using new paper and ink models. Computers & Graphics 25, 2, 295--308.
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Leung, H., and Kang, H. 2005. Stroke extraction for Chinese calligraphy images. In Proc. Asia Pacific Workshop on Visual Information Processing (VIP'05), IEEE, 223--229.
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Xie, N., Laga, H., Saito, S., and Nakajima, M. 2010. Ir2s: interactive real photo to Sumi-e. In Proc. 8th International Symp. Non-Photorealistic Animation and Rendering, ACM, 63--71.
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Xu, T.-C., Yang, L.-J., and Wu, E.-H. 2012. Stroke-based real-time ink wash painting style rendering for geometric models. In SIGGRAPH Asia 2012 Technical Briefs, ACM, 19:1--19:4.
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Yang, L., And Li, X. 2009. Animating the brush-writing process of Chinese calligraphy characters. In 8th IEEE/ACIS International Conf. Computer and Information Science, IEEE, 683--688.
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  • (2023)Rhythm Research in Interactive System Design: A Literature ReviewInternational Journal of Human–Computer Interaction10.1080/10447318.2023.229462841:1(31-50)Online publication date: 27-Dec-2023
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cover image ACM Other conferences
SA '14: SIGGRAPH Asia 2014 Technical Briefs
November 2014
72 pages
ISBN:9781450328951
DOI:10.1145/2669024
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 November 2014

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Author Tags

  1. 2D animation
  2. brush stroke
  3. chinese calligraphy
  4. non-photorealistic rendering
  5. writing rhythm
  6. writing trajectory

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  • Research-article

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SA'14
SA'14: SIGGRAPH Asia 2014
December 3 - 6, 2014
Shenzhen, China

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Overall Acceptance Rate 178 of 869 submissions, 20%

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Cited By

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  • (2024)Still Not a Lot of Research? Re-Examining HCI Research on Religion and SpiritualityExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651058(1-15)Online publication date: 11-May-2024
  • (2024)RoDAL: style generation in robot calligraphy with deep adversarial learningApplied Intelligence10.1007/s10489-024-05597-654:17-18(7913-7923)Online publication date: 15-Jun-2024
  • (2023)Rhythm Research in Interactive System Design: A Literature ReviewInternational Journal of Human–Computer Interaction10.1080/10447318.2023.229462841:1(31-50)Online publication date: 27-Dec-2023
  • (2023)Generative adversarial networks based motion learning towards robotic calligraphy synthesisCAAI Transactions on Intelligence Technology10.1049/cit2.121989:2(452-466)Online publication date: 28-Mar-2023
  • (2023)Easy recognition of artistic Chinese calligraphic charactersThe Visual Computer10.1007/s00371-023-03026-239:8(3755-3766)Online publication date: 7-Aug-2023
  • (2020)Interactive Projection System for Calligraphy Practice2020 Nicograph International (NicoInt)10.1109/NicoInt50878.2020.00018(55-61)Online publication date: Jun-2020
  • (2020)Brushwork master: Chinese ink painting synthesis for animating brushwork processComputer Animation and Virtual Worlds10.1002/cav.194931:4-5Online publication date: 8-Sep-2020
  • (2019)Easy Drawing: Generation of Artistic Chinese Flower Painting by Stroke-Based StylizationIEEE Access10.1109/ACCESS.2019.29046697(35449-35456)Online publication date: 2019
  • (2018)Animated Construction of Chinese Brush PaintingsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2017.277429224:12(3019-3031)Online publication date: 1-Dec-2018
  • (2016)Optimal character composing for Chinese calligraphic artworkSIGGRAPH ASIA 2016 Posters10.1145/3005274.3005292(1-2)Online publication date: 28-Nov-2016
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