DocumentCode
569070
Title
Oriented Animal-mask Decoration Pattern Generation
Author
Chi, Ming-Te ; Liou, Wei-Cheng
Author_Institution
Dept. of Comput. Sci., Nat. Chengchi Univ., Taipei, Taiwan
fYear
2012
fDate
25-27 July 2012
Firstpage
7
Lastpage
12
Abstract
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.
Keywords
art; computer animation; rendering (computer graphics); animal face; animal-mask decoration style image; artworks; background decoration patterns; designated flow vectors; facial features; input image patterns; nonphoto realistic rendering technology; oriented animal-mask decoration pattern generation; reaction-diffusion method; sample database; structural matching method; Animals; Databases; Face; Facial features; Feature extraction; Shape; Vectors; Non-photorealistic Rendering; Pattern Generation; Reaction-Diffusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Graphics, Imaging and Visualization (CGIV), 2012 Ninth International Conference on
Conference_Location
Hsinchu
Print_ISBN
978-1-4673-2335-2
Electronic_ISBN
978-0-7695-4778-7
Type
conf
DOI
10.1109/CGIV.2012.19
Filename
6298232
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