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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/74494

Title:	Oriented animal-mask decoration pattern generation
Authors:	Chi, Ming Te;Liou, Wei Cheng 紀明德
Contributors:	資科系
Keywords:	Facial feature;Flow vectors;Input image;Matching methods;Non-Photorealistic Rendering;Pattern Generation;Reaction diffusion;Sample Database;Computer graphics;Diffusion in liquids;Visualization;Animals
Date:	2012
Issue Date:	2015-04-10 17:26:28 (UTC+8)
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. © 2012 IEEE.
Relation:	CGiV 2012 - 2012 9th International Conference on Computer Graphics, Imaging and Visualization 10.1109/CGIV.2012.19
Data Type:	conference
DOI link:	http://dx.doi.org/10.1109/CGIV.2012.19
DOI:	10.1109/CGIV.2012.19
Appears in Collections:	[Department of Computer Science ] Proceedings

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