Alfonso López Ruiz, J. Jurado, Emilio J. Padrón, C. Ogáyar, F. Feito-Higueruela
{"title":"基于gpu的点云遮挡处理方法比较","authors":"Alfonso López Ruiz, J. Jurado, Emilio J. Padrón, C. Ogáyar, F. Feito-Higueruela","doi":"10.2312/ceig.20211364","DOIUrl":null,"url":null,"abstract":"Three-dimensional point clouds have conventionally been used along with several sources of information. This fusion can be performed by projecting the point cloud into the image plane and retrieving additional data for each point. Nevertheless, the raw projection omits the occlusion caused by foreground surfaces, thus assigning wrong information to 3D points. For large point clouds, testing the occlusion of each point from every viewpoint is a time-consuming task. Hence, we propose several algorithms implemented in GPU and based on the use of z-buffers. Given the size of nowadays point clouds, we also adapt our methodologies to commodity hardware by splitting the point cloud into several chunks. Finally, we compare their performance through the response time. CCS Concepts • Computing methodologies → Massively parallel algorithms; Visibility; Point-based models;","PeriodicalId":385751,"journal":{"name":"Spanish Computer Graphics Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Comparison of GPU-based Methods for Handling Point Cloud Occlusion\",\"authors\":\"Alfonso López Ruiz, J. Jurado, Emilio J. Padrón, C. Ogáyar, F. Feito-Higueruela\",\"doi\":\"10.2312/ceig.20211364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Three-dimensional point clouds have conventionally been used along with several sources of information. This fusion can be performed by projecting the point cloud into the image plane and retrieving additional data for each point. Nevertheless, the raw projection omits the occlusion caused by foreground surfaces, thus assigning wrong information to 3D points. For large point clouds, testing the occlusion of each point from every viewpoint is a time-consuming task. Hence, we propose several algorithms implemented in GPU and based on the use of z-buffers. Given the size of nowadays point clouds, we also adapt our methodologies to commodity hardware by splitting the point cloud into several chunks. Finally, we compare their performance through the response time. CCS Concepts • Computing methodologies → Massively parallel algorithms; Visibility; Point-based models;\",\"PeriodicalId\":385751,\"journal\":{\"name\":\"Spanish Computer Graphics Conference\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Spanish Computer Graphics Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2312/ceig.20211364\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spanish Computer Graphics Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2312/ceig.20211364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of GPU-based Methods for Handling Point Cloud Occlusion
Three-dimensional point clouds have conventionally been used along with several sources of information. This fusion can be performed by projecting the point cloud into the image plane and retrieving additional data for each point. Nevertheless, the raw projection omits the occlusion caused by foreground surfaces, thus assigning wrong information to 3D points. For large point clouds, testing the occlusion of each point from every viewpoint is a time-consuming task. Hence, we propose several algorithms implemented in GPU and based on the use of z-buffers. Given the size of nowadays point clouds, we also adapt our methodologies to commodity hardware by splitting the point cloud into several chunks. Finally, we compare their performance through the response time. CCS Concepts • Computing methodologies → Massively parallel algorithms; Visibility; Point-based models;