CCD-BSM:composite-curve-dilation brush stroke model for robotic chinese calligraphy
Author:
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-04210-y.pdf
Reference42 articles.
1. Guo D, Min H (2022) Survey of calligraphy robot. Cont Decision 37(7):1665–1674. https://doi.org/10.13195/j.kzyjc.2021.0132
2. Huang L, Hou Z-X, Zhao Y-H, Zhang DJ (2019) Research progress on and prospects for virtual brush modeling in digital calligraphy and painting. Frontiers Inform Technol Electr Eng 20(10):1307–1321. https://doi.org/10.1631/FITEE.1900195
3. Zhang J, Zhang Y, Zhou C (2014) Simulating the writing process from chinese calligraphy image. J Comput Aided Design Comput Graph 26(6):963–972. https://doi.org/10.3969/j.issn.1003-9775.2014.06.014
4. Lin H-I, Chen X, Lin T-T (2020) Calligraphy brush trajectory control of by a robotic arm. Appl Sci 10(23):8694. https://doi.org/10.3390/app10238694
5. Aksan E, Pece F, Hilliges O (2018) Deepwriting: making digital ink editable via deep generative modeling. In: Proceedings of the 2018 CHI conference on human factors in computing systems, pp 1–14. https://doi.org/10.1145/3173574.3173779
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