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題名 Oriented animal-mask decoration pattern generation
作者 Chi, Ming Te;Liou, Wei Cheng
紀明德
貢獻者 資科系
關鍵詞 Facial feature; Flow vectors; Input image; Matching methods; Non-Photorealistic Rendering; Pattern Generation; Reaction diffusion; Sample Database; Computer graphics; Diffusion in liquids; Visualization; Animals
日期 2012
上傳時間 10-四月-2015 17:26:28 (UTC+8)
摘要 Oriented Animal-mask on the bronze vessels in the Shang and Zhou dynasty is an art of abstraction and stylization from animal face. The non-photo realistic rendering technology tires to establish a system to reproduce the style after analyzing how people create artworks. In this paper, we develop a pattern generation method for the animal-mask decorations. By analyzing the structure and identifying association between animals and animal-mask decorations, we generate facial features from employing a structural matching method to find correspondence from an sample database. For pattern stylization, we propose a modified reaction-diffusion method to stylize the input image patterns and enhance the features in animal-mask decoration. And the proposed reaction-diffusion method can also simulate the diffusion alone user designated flow vectors to generate background decoration patterns. Combining the processes above, we can generate an animal-mask decoration style image. We demonstrate results with a number of animal input images. © 2012 IEEE.
關聯 CGiV 2012 - 2012 9th International Conference on Computer Graphics, Imaging and Visualization
10.1109/CGIV.2012.19
資料類型 conference
DOI http://dx.doi.org/10.1109/CGIV.2012.19
dc.contributor 資科系
dc.creator (作者) Chi, Ming Te;Liou, Wei Cheng
dc.creator (作者) 紀明德zh_TW
dc.date (日期) 2012
dc.date.accessioned 10-四月-2015 17:26:28 (UTC+8)-
dc.date.available 10-四月-2015 17:26:28 (UTC+8)-
dc.date.issued (上傳時間) 10-四月-2015 17:26:28 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/74494-
dc.description.abstract (摘要) Oriented Animal-mask on the bronze vessels in the Shang and Zhou dynasty is an art of abstraction and stylization from animal face. The non-photo realistic rendering technology tires to establish a system to reproduce the style after analyzing how people create artworks. In this paper, we develop a pattern generation method for the animal-mask decorations. By analyzing the structure and identifying association between animals and animal-mask decorations, we generate facial features from employing a structural matching method to find correspondence from an sample database. For pattern stylization, we propose a modified reaction-diffusion method to stylize the input image patterns and enhance the features in animal-mask decoration. And the proposed reaction-diffusion method can also simulate the diffusion alone user designated flow vectors to generate background decoration patterns. Combining the processes above, we can generate an animal-mask decoration style image. We demonstrate results with a number of animal input images. © 2012 IEEE.
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) CGiV 2012 - 2012 9th International Conference on Computer Graphics, Imaging and Visualization
dc.relation (關聯) 10.1109/CGIV.2012.19
dc.subject (關鍵詞) Facial feature; Flow vectors; Input image; Matching methods; Non-Photorealistic Rendering; Pattern Generation; Reaction diffusion; Sample Database; Computer graphics; Diffusion in liquids; Visualization; Animals
dc.title (題名) Oriented animal-mask decoration pattern generation
dc.type (資料類型) conferenceen
dc.identifier.doi (DOI) 10.1109/CGIV.2012.19en_US
dc.doi.uri (DOI) http://dx.doi.org/10.1109/CGIV.2012.19en_US