{"title":"A Fast Visualization Method of Radiation Field Based on Target’s Geometric Feature","authors":"Junling Qin, D. Ren, Weiqing Li","doi":"10.1109/PIC.2018.8706136","DOIUrl":null,"url":null,"abstract":"In the simulation of complex model’s radiation field, we usually use finite element mesh for visualization. However, finite element cannot represent target’s geometric feature accurately. In addition, huge number of patches will seriously affect rendering speed in real-time simulation. In this paper, we propose a method to map finite element mesh to geometric model surfaces, replacing the drawing of a dense finite element mesh with a geometric model drawing. The method mainly consists of four parts. First, the mapping between feature points and the texture is established by the non-parametric surface mapping skill. Second, based on the correspondence relation between feature points and the texture, the mapping between points on the geometric model surfaces to the finite element mesh is completed. Third, within the texture, bilinear interpolation is applied to get radiation field values of all the texture pixels. Finally, the texture, which represents radiation values of the target, is stored in form of PNG picture. This paper defines a texture for each part of the geometric model to represent radiation values. The drawing of geometric model is much faster than that of finite element mesh because the patches are reduced greatly. The simulation results show that this method can realize accurate and quick visualization of the target’s radiation field.","PeriodicalId":236106,"journal":{"name":"2018 IEEE International Conference on Progress in Informatics and Computing (PIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Progress in Informatics and Computing (PIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIC.2018.8706136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the simulation of complex model’s radiation field, we usually use finite element mesh for visualization. However, finite element cannot represent target’s geometric feature accurately. In addition, huge number of patches will seriously affect rendering speed in real-time simulation. In this paper, we propose a method to map finite element mesh to geometric model surfaces, replacing the drawing of a dense finite element mesh with a geometric model drawing. The method mainly consists of four parts. First, the mapping between feature points and the texture is established by the non-parametric surface mapping skill. Second, based on the correspondence relation between feature points and the texture, the mapping between points on the geometric model surfaces to the finite element mesh is completed. Third, within the texture, bilinear interpolation is applied to get radiation field values of all the texture pixels. Finally, the texture, which represents radiation values of the target, is stored in form of PNG picture. This paper defines a texture for each part of the geometric model to represent radiation values. The drawing of geometric model is much faster than that of finite element mesh because the patches are reduced greatly. The simulation results show that this method can realize accurate and quick visualization of the target’s radiation field.