{"title":"GPU快速和鲁棒的计算质心坐标和平面的相交使用投影表示","authors":"V. Skala","doi":"10.1109/WICT.2014.7077298","DOIUrl":null,"url":null,"abstract":"This paper describes algorithms for fast and robust GPU computation of barycentric coordinates and intersection of two planes. The presented algorithms are based on matrix-vector operations which make the algorithms convenient for GPU or SSE based architectures. Also a new formula for finding the closest point of two planes intersection to the given point is given.","PeriodicalId":439852,"journal":{"name":"2014 4th World Congress on Information and Communication Technologies (WICT 2014)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"GPU fast and robust computation for barycentric coordinates and intersection of planes using projective representation\",\"authors\":\"V. Skala\",\"doi\":\"10.1109/WICT.2014.7077298\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes algorithms for fast and robust GPU computation of barycentric coordinates and intersection of two planes. The presented algorithms are based on matrix-vector operations which make the algorithms convenient for GPU or SSE based architectures. Also a new formula for finding the closest point of two planes intersection to the given point is given.\",\"PeriodicalId\":439852,\"journal\":{\"name\":\"2014 4th World Congress on Information and Communication Technologies (WICT 2014)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 4th World Congress on Information and Communication Technologies (WICT 2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WICT.2014.7077298\",\"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 4th World Congress on Information and Communication Technologies (WICT 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WICT.2014.7077298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GPU fast and robust computation for barycentric coordinates and intersection of planes using projective representation
This paper describes algorithms for fast and robust GPU computation of barycentric coordinates and intersection of two planes. The presented algorithms are based on matrix-vector operations which make the algorithms convenient for GPU or SSE based architectures. Also a new formula for finding the closest point of two planes intersection to the given point is given.