{"title":"大规模蒙皮网格的实时说明性渲染","authors":"Juncong Lin, Guangyu Zhang, Xing Gao, Minghong Liao, Lisheng Xiang","doi":"10.1109/CSE.2014.326","DOIUrl":null,"url":null,"abstract":"Line drawing can express meaningful information by ignoring less important or distracting details, and thus becomes a popular shape depiction technique. However, existing methods mainly focused on static data. Although we can apply these methods to animated data frame by frame, it is still not applicable for large scale model due to the high computational cost. In this paper, we present a real time line drawing method for skinned mesh. We exploit the surface normal coherency between neighbouring frames to accelerate the computation of surface normal which is the bottleneck of most line drawing methods. The experimental results show that our method is both efficient and effective.","PeriodicalId":258990,"journal":{"name":"2014 IEEE 17th International Conference on Computational Science and Engineering","volume":"176 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Realtime Illustrative Rendering of Large Scale Skinned Meshes\",\"authors\":\"Juncong Lin, Guangyu Zhang, Xing Gao, Minghong Liao, Lisheng Xiang\",\"doi\":\"10.1109/CSE.2014.326\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Line drawing can express meaningful information by ignoring less important or distracting details, and thus becomes a popular shape depiction technique. However, existing methods mainly focused on static data. Although we can apply these methods to animated data frame by frame, it is still not applicable for large scale model due to the high computational cost. In this paper, we present a real time line drawing method for skinned mesh. We exploit the surface normal coherency between neighbouring frames to accelerate the computation of surface normal which is the bottleneck of most line drawing methods. The experimental results show that our method is both efficient and effective.\",\"PeriodicalId\":258990,\"journal\":{\"name\":\"2014 IEEE 17th International Conference on Computational Science and Engineering\",\"volume\":\"176 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 17th International Conference on Computational Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSE.2014.326\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 17th International Conference on Computational Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSE.2014.326","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Realtime Illustrative Rendering of Large Scale Skinned Meshes
Line drawing can express meaningful information by ignoring less important or distracting details, and thus becomes a popular shape depiction technique. However, existing methods mainly focused on static data. Although we can apply these methods to animated data frame by frame, it is still not applicable for large scale model due to the high computational cost. In this paper, we present a real time line drawing method for skinned mesh. We exploit the surface normal coherency between neighbouring frames to accelerate the computation of surface normal which is the bottleneck of most line drawing methods. The experimental results show that our method is both efficient and effective.