{"title":"立体视频的三维活动测量","authors":"Kwanghyun Lee, Haksub Kim, Sanghoon Lee","doi":"10.1109/IVMSPW.2013.6611906","DOIUrl":null,"url":null,"abstract":"One of the most challenging issues in the 3D visual research field is how to quantify the visualization displayed over the virtual 3D space. To seek an effective method of quantification, it is necessary to measure various important elements related to different depths of 3D objects. In this paper, we propose a new framework to quantify the 3D visual information, termed 3D activity by measuring natural scene statistics (NSS). In the simulation, we verify the effectiveness of 3D activity to quantify the degree of freedom of 3D space in various aspects: disparity and motion.","PeriodicalId":170714,"journal":{"name":"IVMSP 2013","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"3D activity measurement for stereoscopic video\",\"authors\":\"Kwanghyun Lee, Haksub Kim, Sanghoon Lee\",\"doi\":\"10.1109/IVMSPW.2013.6611906\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the most challenging issues in the 3D visual research field is how to quantify the visualization displayed over the virtual 3D space. To seek an effective method of quantification, it is necessary to measure various important elements related to different depths of 3D objects. In this paper, we propose a new framework to quantify the 3D visual information, termed 3D activity by measuring natural scene statistics (NSS). In the simulation, we verify the effectiveness of 3D activity to quantify the degree of freedom of 3D space in various aspects: disparity and motion.\",\"PeriodicalId\":170714,\"journal\":{\"name\":\"IVMSP 2013\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IVMSP 2013\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVMSPW.2013.6611906\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IVMSP 2013","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVMSPW.2013.6611906","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
One of the most challenging issues in the 3D visual research field is how to quantify the visualization displayed over the virtual 3D space. To seek an effective method of quantification, it is necessary to measure various important elements related to different depths of 3D objects. In this paper, we propose a new framework to quantify the 3D visual information, termed 3D activity by measuring natural scene statistics (NSS). In the simulation, we verify the effectiveness of 3D activity to quantify the degree of freedom of 3D space in various aspects: disparity and motion.