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    Felizberta Lo Padilla Tong School of Social SciencesIp Ying To Lee Yu Yee School of Humanities and LanguagesRita Tong Liu School of Business and Hospitality ManagementS.K. Yee School of Health SciencesYam Pak Charitable Foundation School of Computing and Information Sciences
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  4. Calligraphic guideline generation via contour-guided brush fitting
 
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Calligraphic guideline generation via contour-guided brush fitting

Author(s)
Liu, Xueting  
Li, Chengze  
Author(s)
Zhang, Z.
Xia, H.
Wu, H.
Date Issued
2025
Publisher
Society of Photo-Optical Instrumentation Engineers (SPIE)
Related Publication(s)
Proceedings of the 16th International Conference on Graphics and Image Processing (ICGIP 2024)
Abstract
Guidelines play an important role in calligraphy study since they allow beginners to get an idea of how the calligraphic strokes are formed and how to write a calligraphic stroke. However, manually generating guidelines for calligraphic characters is tedious, so only limited calligraphic books with guidelines provided are available. To automatically generate the guidelines, one needs to first decompose the strokes from the character and then automatically generate guideline for each stroke. However, this is very challenging since the existing guideline generation methods only mimic the shapes of the guidelines but generally cannot produce precise guidelines that can be practically used for amateurs to trace the calligraphic strokes. In this paper, we first adopt a state-of-the-artstroke segmentation method based on the information of stroke categories. Then we propose a novel guideline generation method by fitting ellipse-shaped brushes to each stroke based on contour tangents. Extensive visual and quantitative experiments have been conducted to validate the effectiveness of our method. Results and statistics show that our method outperforms existing methods both visually and quantitatively.
URI
https://repository.sfu.edu.hk/handle/sfu/4675
DOI
10.1117/12.3057890
SFU Affiliated Publication
Yes
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