| 题名: | an improved method for generating multiresolution animation models |
| 作者: | Zhang Shixue
; Wu Enhua
|
| 会议文集: | Proceedings - 2009 11th IEEE International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2009
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| 会议名称: | 2009 11th IEEE International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2009
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| 会议日期: | August 19,
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| 出版日期: | 2009
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| 会议地点: | Huangshan, China
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| 关键词: | Animation
; Computer aided design
; Computer graphics
; Deformation
; Multiresolution analysis
|
| 出版地: | United States
|
| 收录类别: | EI
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| ISBN: | 9781424437009
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| 部门归属: | (1) Dept. of Computer and Information Science, University of Macau, Macao, China; (2) State Key Lab. of Computer Science, Institute of Software, Chinese Academy of Sciences, China; (3) Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, China
|
| 英文摘要: | In computer graphics, animated models are widely used to represent time-varying data. In this paper, we propose an improved method to generate multiresolution animation models. We use a curvature sensitive quadric error metric (QEM) criterion as our basic measurement, which can preserve local features on the surface. We append a deformation weight to the aggregated edge contraction cost for the whole animation to preserve areas with large deformation. At last, we introduce a mesh optimization method to deal with the animation sequence, which can efficiently improve the temporal coherence and reduce visual artifacts. The results show our approach is efficient, easy to implement, and good quality progressive animation models can be generated at any level of detail. © 2009 IEEE. |
| 内容类型: | 会议论文
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| URI标识: | http://ir.iscas.ac.cn/handle/311060/8552
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| Appears in Collections: | 计算机科学国家重点实验室 _会议论文
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| Recommended Citation: | |
Zhang Shixue,Wu Enhua. an improved method for generating multiresolution animation models[C]. 见:2009 11th IEEE International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2009. Huangshan, China. August 19,.
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