Perception-based model simplification for motion blur rendering

ISCAS OpenIR

	Perception-based model simplification for motion blur rendering
	Zhang, Minying (1); Wang, Wencheng (1); Sun, Hanqiu (3); Han, Honglei (1); Wang, W.(whn@ios.ac.cn)
	2014
发表期刊	Graphical Models
ISSN	15240703
卷号	76 期号:3 页码:116-127
摘要	Motion blur effects are important to motion perception in visual arts, interactive games and animation applications. Usually, such motion blur rendering is quite time consuming, thus blocking the online/interactive use of the effects. Motivated by the human perception in relation to moving objects, this paper presents simplified geometric models that enable to speedup motion blur rendering, which has not been tracked in motion blur rendering specifically. We develop a novel algorithm to simplify models with motion-aware, to preserve the features whose characteristics are perceivable in motion. We deduce the formula to outline the level of detail simplification by the object moving velocity. Using our simplified models, methods for motion blur rendering can achieve the rendering quality as using the original models, and obtain the processing acceleration mostly. The experimental results have shown the effectiveness of our approach, more acceleration with the larger models or faster motion (e.g. for the dragon model with over a million facets, the motion-blur rendering via hierarchical stochastic rasterization is sped up by over 27 times). © 2013 Elsevier Inc. All rights reserved.; Motion blur effects are important to motion perception in visual arts, interactive games and animation applications. Usually, such motion blur rendering is quite time consuming, thus blocking the online/interactive use of the effects. Motivated by the human perception in relation to moving objects, this paper presents simplified geometric models that enable to speedup motion blur rendering, which has not been tracked in motion blur rendering specifically. We develop a novel algorithm to simplify models with motion-aware, to preserve the features whose characteristics are perceivable in motion. We deduce the formula to outline the level of detail simplification by the object moving velocity. Using our simplified models, methods for motion blur rendering can achieve the rendering quality as using the original models, and obtain the processing acceleration mostly. The experimental results have shown the effectiveness of our approach, more acceleration with the larger models or faster motion (e.g. for the dragon model with over a million facets, the motion-blur rendering via hierarchical stochastic rasterization is sped up by over 27 times). © 2013 Elsevier Inc. All rights reserved.
收录类别	EI
部门归属	(1) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, China; (2) University of Chinese Academy of Sciences, China; (3) Department of Computer Science and Engineering, Chinese University of Hong Kong, China; (4) School of Animation and Digital Arts, Communication University of China, China
语种	英语
WOS记录号	WOS:000347018500010
引用统计
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/17031
专题	中国科学院软件研究所
通讯作者	Wang, W.(whn@ios.ac.cn)
推荐引用方式 GB/T 7714	Zhang, Minying ,Wang, Wencheng ,Sun, Hanqiu ,et al. Perception-based model simplification for motion blur rendering[J]. Graphical Models,2014,76(3):116-127.
APA	Zhang, Minying ,Wang, Wencheng ,Sun, Hanqiu ,Han, Honglei ,&Wang, W..(2014).Perception-based model simplification for motion blur rendering.Graphical Models,76(3),116-127.
MLA	Zhang, Minying ,et al."Perception-based model simplification for motion blur rendering".Graphical Models 76.3(2014):116-127.