Vector solid texture synthesis using unified RBF-based representation and optimization

doi:10.1007/s00371-022-02541-y

	Vector solid texture synthesis using unified RBF-based representation and optimization
	Qian, Yinling 1; Shi, Jian2 ; Sun, Hanqiu 3; Chen, Yanyun 4; Wang, Qiong 1
Source Publication	VISUAL COMPUTER
ISSN	0178-2789
	2022-07-01
Pages	15
Corresponding Author	Wang, Qiong(wangqiong@siat.ac.cn)
Abstract	Solid textures are essential for modeling virtual internal materials. Existing approaches either generate raster solid textures or only focus on vector representation. To facilitate efficient synthesis and intuitive editing of vector solid texture, we propose the novel solid texture representation, named radial basis function (RBF) solid texture. An RBF solid texture consists of a set of spatially distributed RBF instances. Each RBF instance encapsulates a 3D position, an RGB color and a signed distance field (SDF) value. Such a representation is resolution independent, compact in storage and capable of supporting efficient random access with an indexing uniform grid. We directly synthesize RBF solid texture from raster exemplar by minimizing an energy function, which encodes the position, color and SDF difference between output volumetric RBF instances and input example planar RBF instances. The minimization process iteratively updates output RBF instances with an EM algorithm. Our experiments show that our algorithm can produce RBF solid textures in high efficiency and compact storage for a variety of exemplars, including stochastic patterns or more structured patterns. Furthermore, RBF solid textures we proposed benefit intuitive editing for either region-based and RBF-based effects.
Keyword	Texture synthesis Vector texture Solid texture Texture modeling
DOI	10.1007/s00371-022-02541-y
Indexed By	SCI
Language	英语
Funding Project	Key-Area Research and Development Program of Guangdong Province, China[2019B010149002] ; Key-Area Research and Development Program of Guangdong Province, China[2020B010165004] ; National Natural Science Foundation of China[62072452] ; National Natural Science Foundation of China[61802386] ; Natural Science Foundation of Guangdong Province[2020A1515010357] ; Natural Science Foundation of Guangdong Province[2021A1515011869] ; Shenzhen Science and Technology Program[JCYJ20200109115627045] ; Shenzhen Science and Technology Program[JCYJ20200109114233670] ; Shenzhen Science and Technology Program[JCYJ20180507182410327]
Funding Organization	Key-Area Research and Development Program of Guangdong Province, China ; National Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province ; Shenzhen Science and Technology Program
WOS Research Area	Computer Science
WOS Subject	Computer Science, Software Engineering
WOS ID	WOS:000819264000001
Publisher	SPRINGER
Citation statistics
Document Type	期刊论文
Identifier	http://ir.ia.ac.cn/handle/173211/49205
Collection	模式识别国家重点实验室_三维可视计算
Corresponding Author	Wang, Qiong
Affiliation	1.Chinese Acad Sci, Shenzhen Inst Adv Technol, Guangdong Hong Kong Macao Joint Lab Human Machine, Shenzhen, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 3.Univ Elect Sci & Technol China, Chengdu, Peoples R China 4.Chinese Acad Sci, Inst Software, Beijing, Peoples R China
Recommended Citation GB/T 7714	Qian, Yinling,Shi, Jian,Sun, Hanqiu,et al. Vector solid texture synthesis using unified RBF-based representation and optimization[J]. VISUAL COMPUTER,2022:15.
APA	Qian, Yinling,Shi, Jian,Sun, Hanqiu,Chen, Yanyun,&Wang, Qiong.(2022).Vector solid texture synthesis using unified RBF-based representation and optimization.VISUAL COMPUTER,15.
MLA	Qian, Yinling,et al."Vector solid texture synthesis using unified RBF-based representation and optimization".VISUAL COMPUTER (2022):15.

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