{"title":"基于gpu的多投影机平铺显示光度均匀性框架","authors":"Guodong Yuan, K. Qin","doi":"10.2312/EGVE/IPT_EGVE2007/077-083","DOIUrl":null,"url":null,"abstract":"In this paper, we firstly propose a partial-sampling scheme to measure the intensity transfer function of a projector. Secondly, we implement the computation of luminance surface by rendering a texture rectangle on GPU. Thirdly, we generate an unified index data for all projectors. And then we compute the masks of photometric correction using a GPU based on topological consistency. Finally we integrate the masks with a GPU-based photometric correction pipeline to achieve the photometric uniformity for multi-projector display. The GPU-based framework is a combination of the GPU-based computation and the GPU-based photometric correction pipeline, which removes the bottleneck of the computation of luminance surface, attenuation mask and black offset mask. It is shown by experimental results prove that the GPU-based framework is effective and efficient.","PeriodicalId":210571,"journal":{"name":"International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2007-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A GPU-based framework of photometric uniformity for multi-projector tiled display\",\"authors\":\"Guodong Yuan, K. Qin\",\"doi\":\"10.2312/EGVE/IPT_EGVE2007/077-083\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we firstly propose a partial-sampling scheme to measure the intensity transfer function of a projector. Secondly, we implement the computation of luminance surface by rendering a texture rectangle on GPU. Thirdly, we generate an unified index data for all projectors. And then we compute the masks of photometric correction using a GPU based on topological consistency. Finally we integrate the masks with a GPU-based photometric correction pipeline to achieve the photometric uniformity for multi-projector display. The GPU-based framework is a combination of the GPU-based computation and the GPU-based photometric correction pipeline, which removes the bottleneck of the computation of luminance surface, attenuation mask and black offset mask. It is shown by experimental results prove that the GPU-based framework is effective and efficient.\",\"PeriodicalId\":210571,\"journal\":{\"name\":\"International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2312/EGVE/IPT_EGVE2007/077-083\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2312/EGVE/IPT_EGVE2007/077-083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A GPU-based framework of photometric uniformity for multi-projector tiled display
In this paper, we firstly propose a partial-sampling scheme to measure the intensity transfer function of a projector. Secondly, we implement the computation of luminance surface by rendering a texture rectangle on GPU. Thirdly, we generate an unified index data for all projectors. And then we compute the masks of photometric correction using a GPU based on topological consistency. Finally we integrate the masks with a GPU-based photometric correction pipeline to achieve the photometric uniformity for multi-projector display. The GPU-based framework is a combination of the GPU-based computation and the GPU-based photometric correction pipeline, which removes the bottleneck of the computation of luminance surface, attenuation mask and black offset mask. It is shown by experimental results prove that the GPU-based framework is effective and efficient.