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http://hdl.handle.net/10397/107144
Title: | Learning the traditional art of Chinese calligraphy via three-dimensional reconstruction and assessment | Authors: | Jian, M Dong, J Gong, M Yu, H Nie, L Yin, Y Lam, KM |
Issue Date: | Apr-2020 | Source: | IEEE transactions on multimedia, Apr. 2020, v. 22, no. 4, p. 970-979 | Abstract: | The traditional art of Chinese calligraphy, reflecting the wisdom of the grass-roots community, is the soul of Chinese culture. Just like many other types of craftsmanship, it is part of the historical heritage and is worth conserving, from generation to generation. Since the movements of an ink brush are in a 3D style when Chinese calligraphy is written, they embody "The Power of Beauty," comprising various reflectance properties and rough-surface geometry. To truly understand the powerful significance and beauty of the art of Chinese calligraphy, in this paper, a 3D calligraphy reconstruction method, based on Photometric Stereo, is designed to capture the detailed appearance of the calligraphy's 3D surface geometry. For assessment, an Iterative Closest Point (ICP) algorithm is applied for registration of 3D intrinsic shapes between the Chinese calligraphy and the calligraphy fans' handwriting. Through matching these two sets of calligraphy characters, the designed system can give a score to the handwriting of a user. Experiments have been performed on Chinese calligraphy from different historical dynasties to evaluate the effectiveness of the proposed scheme, and experimental results show that the developed system is useful and provides a convenient method of calligraphy appreciation and assessment. | Keywords: | 3D surface geometry 3D surface heightmap Chinese calligraphy Image quality assessment Photometric Stereo |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on multimedia | ISSN: | 1520-9210 | EISSN: | 1941-0077 | DOI: | 10.1109/TMM.2019.2937187 | Rights: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication M. Jian et al., "Learning the Traditional Art of Chinese Calligraphy via Three-Dimensional Reconstruction and Assessment," in IEEE Transactions on Multimedia, vol. 22, no. 4, pp. 970-979, April 2020 is available at https://doi.org/10.1109/TMM.2019.2937187. |
Appears in Collections: | Journal/Magazine Article |
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Lam_Learning_Traditional_Art.pdf | Pre-Published version | 1.55 MB | Adobe PDF | View/Open |
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