They used the traditional melodies and aria called Xi Pi. In 1790, the four great theatre groups from Anhui came to perform for the Royal Family. The current Beijing Opera originated from a combination of several sources. There is really nothing that compares to a skillful and artistic rendition of one of China's favorite stories from historical events and classical literature. The use of symbolic colors, stylized lines, and fantastical facial exaggeration all serve the performance magic and grandeur. PeerJ 7, e6398 (2019).One of the more striking aspects of the Beijing Opera is the Masks and Facial Make-up used to portray the various characters in a production. Hannah, W., Mark, W.: Quantitative color profiling of digital 2 images with earth mover’s distance using 3 the R package colordistance. Zhu, M.L., Wang, X.C.: Research on the digital application of Peking Opera facial makeup. : A study of Chinese and Western Peking Opera facial makeup images: a case study of the current situation of middle school students’ Facial makeup drawing. Gao, J.Y.: Study on Personification of Peking Opera Facial Makeup, pp.
Jiangxi Normal University, Nanchang (2012). Yang, L.Q.: Application of Beijing Opera Facial makeup Color in Design.
Xing, L.: Computer-aided Generation of Paper-cut of Peking Opera Facial Makeup. Sanlian Bookstore, Beijing (2005).(in Chinese)Ĭai, F.L.: Research on Digital Modeling and Rendering Technology of Peking Opera Facial Makeup, pp. Luan, G.H.: Role Symbols: Chinese Opera Masks. Beijing Arts and Crafts Publishing House, Beijing (2001). The Eurographs Association & John Wiley & Sons, Ltd., Chichester (2013). In: 15th Eurographics Conference on Visualization, pp.401–410. Sharon, L., Julie, F., Chinmay, K., Maureen, S., Jeffrey, H.: Selecting semantically-resonant colors for data visualization. Association for Computing Machinery, New York (2017). In: Conference on Human Factors in Computing Systems, pp. Lyn, B., Abhisekh, P., Maureen, S.: Affective color in visualization.
In: Digital Presentation and Preservation of Cultural and Scientific Heritage, DiPP 2019, pp. Yang, G., Zhang, H., Zhang, X., Yu, Y., Yang, J.: Digital inheritance of POPF based on image database and identification model.
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