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  5. 类脑芯片与系统研究
Layered leaf texturing using structure-guided model

文献类型：期刊论文

作者Qian, Yinling1; Shi, Jian2; Sun, Hanqiu3; Ma, Lei4; Chen, Yanyun5; Wang, Qiong6; Heng, Pheng-Ann3,6
刊名GRAPHICAL MODELS
出版日期2019-05-01
卷号103页码:10
关键词Leaf texturing Texture synthesis Procedural noise
ISSN号1524-0703
DOI10.1016/j.gmod.2019.101029
通讯作者Wang, Qiong(wangqiong@siat.ac.cn)
英文摘要Generating natural textures is a challenging task in graphics and virtual reality. Leaf texture is an important part of natural textures. Different from many other textures with repetitive and random patterns, leaves are closely related to its botanic structures, especially veins. Appearing in forms of foliages in the wild, the variety of leaf textures produces the realism of virtual scenes. In this paper, we propose a novel leaf-texturing method that models the inherent relevance between structural features and pattern distributions. Based on the structure-guided model, we design an example-based algorithm to extract and generate leaf textures depending on venation structures. Global variations and local details are processed separately for multi-scale texture features. Experiments show that our model produces visually plausible leaf textures with variations, which can be easily applied to many other applications, including texture transfer between different leaf structures, aging effect and texture editing.
WOS关键词VISUALIZATION
资助项目Shenzhen Science and Technology Program[JSGG20170414112714341] ; Shenzhen Science and Technology Program[JCYJ20170413162617606] ; Shenzhen Science and Technology Program[JCYJ20170302153015013] ; Natural Science Foundation of China[61802386] ; Natural Science Foundation of China[61602183]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000477696200008
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
资助机构Shenzhen Science and Technology Program ; Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/27820]  
专题类脑芯片与系统研究
通讯作者Wang, Qiong
作者单位1.Chinese Acad Sci, Shenzhen Inst Adv Technol, CAS Key Lab Human Machine Intelligence Synergy Sy, Shenzhen, Peoples R China
2.Chinese Acad Sci, Inst Automat, NLPR, Beijing, Peoples R China
3.Chinese Univ Hong Kong, Hong Kong, Peoples R China
4.Peking Univ, Beijing, Peoples R China
5.Chinese Acad Sci, Inst Software, State Key Lab Comp Sci, Beijing, Peoples R China
6.Chinese Acad Sci, Shenzhen Inst Adv Technol, Guangdong Prov Key Lab Comp Vis & Virtual Real Te, Shenzhen, Peoples R China
推荐引用方式
GB/T 7714		 Qian, Yinling,Shi, Jian,Sun, Hanqiu,et al. Layered leaf texturing using structure-guided model[J]. GRAPHICAL MODELS,2019,103:10.
APA Qian, Yinling.,Shi, Jian.,Sun, Hanqiu.,Ma, Lei.,Chen, Yanyun.,...&Heng, Pheng-Ann.(2019).Layered leaf texturing using structure-guided model.GRAPHICAL MODELS,103,10.
MLA Qian, Yinling,et al."Layered leaf texturing using structure-guided model".GRAPHICAL MODELS 103(2019):10.

入库方式： OAI收割

来源：自动化研究所

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