{"title":"广义多基线立体与直接虚拟视图合成的距离空间方法","authors":"K. Ng, M. Trivedi, H. Ishiguro","doi":"10.1109/SMBV.2001.988764","DOIUrl":null,"url":null,"abstract":"In this paper a new \"range-space\" approach, for rendering visual models using a network of multiple omnidirectional vision sensors (ODVS) is presented. This integrated approach allows for simultaneous extraction of 3-D range as well as visual models. The approach requires three distinct steps of analyzing multiple ODVS video input streams: 1) Search, 2) Match, and 3) Render. At the output, a user-specified view is rendered. This three-step process does not require 3D model of the scene to be provided.","PeriodicalId":204646,"journal":{"name":"Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Range-space approach for generalized multiple baseline stereo and direct virtual view synthesis\",\"authors\":\"K. Ng, M. Trivedi, H. Ishiguro\",\"doi\":\"10.1109/SMBV.2001.988764\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a new \\\"range-space\\\" approach, for rendering visual models using a network of multiple omnidirectional vision sensors (ODVS) is presented. This integrated approach allows for simultaneous extraction of 3-D range as well as visual models. The approach requires three distinct steps of analyzing multiple ODVS video input streams: 1) Search, 2) Match, and 3) Render. At the output, a user-specified view is rendered. This three-step process does not require 3D model of the scene to be provided.\",\"PeriodicalId\":204646,\"journal\":{\"name\":\"Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001)\",\"volume\":\"118 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SMBV.2001.988764\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMBV.2001.988764","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Range-space approach for generalized multiple baseline stereo and direct virtual view synthesis
In this paper a new "range-space" approach, for rendering visual models using a network of multiple omnidirectional vision sensors (ODVS) is presented. This integrated approach allows for simultaneous extraction of 3-D range as well as visual models. The approach requires three distinct steps of analyzing multiple ODVS video input streams: 1) Search, 2) Match, and 3) Render. At the output, a user-specified view is rendered. This three-step process does not require 3D model of the scene to be provided.
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