{"title":"使用OpenCL加速多面体视觉船体","authors":"Toby Duckworth, D. Roberts","doi":"10.1109/VR.2011.5759469","DOIUrl":null,"url":null,"abstract":"We present a method for reconstruction of the visual hull (VH) of an object in real-time from multiple video streams. A state of the art polyhedral reconstruction algorithm is accelerated by implementing it for parallel execution on a multi-core graphics processor (GPU). The time taken to reconstruct the VH is measured for both the accelerated and non-accelerated implementations of the algorithm, over a range of image resolutions and number of cameras. The results presented are of relevance to researchers in the field of 3D reconstruction at interactive frame rates (real-time), for applications such as telepresence.","PeriodicalId":346701,"journal":{"name":"2011 IEEE Virtual Reality Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Accelerated polyhedral visual hulls using OpenCL\",\"authors\":\"Toby Duckworth, D. Roberts\",\"doi\":\"10.1109/VR.2011.5759469\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a method for reconstruction of the visual hull (VH) of an object in real-time from multiple video streams. A state of the art polyhedral reconstruction algorithm is accelerated by implementing it for parallel execution on a multi-core graphics processor (GPU). The time taken to reconstruct the VH is measured for both the accelerated and non-accelerated implementations of the algorithm, over a range of image resolutions and number of cameras. The results presented are of relevance to researchers in the field of 3D reconstruction at interactive frame rates (real-time), for applications such as telepresence.\",\"PeriodicalId\":346701,\"journal\":{\"name\":\"2011 IEEE Virtual Reality Conference\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE Virtual Reality Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VR.2011.5759469\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Virtual Reality Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VR.2011.5759469","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present a method for reconstruction of the visual hull (VH) of an object in real-time from multiple video streams. A state of the art polyhedral reconstruction algorithm is accelerated by implementing it for parallel execution on a multi-core graphics processor (GPU). The time taken to reconstruct the VH is measured for both the accelerated and non-accelerated implementations of the algorithm, over a range of image resolutions and number of cameras. The results presented are of relevance to researchers in the field of 3D reconstruction at interactive frame rates (real-time), for applications such as telepresence.
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