Vector solid texture synthesis using unified RBF-based representation and optimization
文献类型：期刊论文
| 作者 | Qian, Yinling4; Shi, Jian3 ; Sun, Hanqiu2; Chen, Yanyun1; Wang, Qiong4
|
| 刊名 | VISUAL COMPUTER
 |
| 出版日期 | 2022-07-01 |
| 页码 | 15 |
| 关键词 | Texture synthesis Vector texture Solid texture Texture modeling |
| ISSN号 | 0178-2789 |
| DOI | 10.1007/s00371-022-02541-y |
| 通讯作者 | Wang, Qiong(wangqiong@siat.ac.cn) |
| 英文摘要 | 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. |
| 资助项目 | 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] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000819264000001 |
| 出版者 | SPRINGER |
| 资助机构 | 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 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/49204]  |
| 专题 | 模式识别国家重点实验室_三维可视计算 |
| 通讯作者 | Wang, Qiong |
| 作者单位 | 1.Chinese Acad Sci, Inst Software, Beijing, Peoples R China 2.Univ Elect Sci & Technol China, Chengdu, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 4.Chinese Acad Sci, Shenzhen Inst Adv Technol, Guangdong Hong Kong Macao Joint Lab Human Machine, Shenzhen, Peoples R China |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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