Data-Driven Shape Analysis and Processing.
文献类型：期刊论文
| 作者 | Kalogerakis, Evangelos; Xu, Kai; Kim, Vladimir G; Huang, Qixing |
| 刊名 | COMPUTER GRAPHICS FORUM
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Data-driven methods serve an increasingly important role in discovering geometric, structural and semantic relationships between shapes. In contrast to traditional approaches that process shapes in isolation of each other, data-driven methods aggregate information from 3D model collections to improve the analysis, modelling and editing of shapes. Data-driven methods are also able to learn computational models that reason about properties and relationships of shapes without relying on hard-coded rules or explicitly programmed instructions. Through reviewing the literature, we provide an overview of the main concepts and components of these methods, as well as discuss their application to classification, segmentation, matching, reconstruction, modelling and exploration, as well as scene analysis and synthesis. We conclude our report with ideas that can inspire future research in data-driven shape analysis and processing. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12436]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | COMPUTER GRAPHICS FORUM |
| 推荐引用方式 GB/T 7714 | Kalogerakis, Evangelos,Xu, Kai,Kim, Vladimir G,et al. Data-Driven Shape Analysis and Processing.[J]. COMPUTER GRAPHICS FORUM,2017. |
| APA | Kalogerakis, Evangelos,Xu, Kai,Kim, Vladimir G,&Huang, Qixing.(2017).Data-Driven Shape Analysis and Processing..COMPUTER GRAPHICS FORUM. |
| MLA | Kalogerakis, Evangelos,et al."Data-Driven Shape Analysis and Processing.".COMPUTER GRAPHICS FORUM (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
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