{"id":155090,"date":"2020-02-20T11:36:37","date_gmt":"2000-09-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/scene-reconstruction-from-multiple-cameras\/"},"modified":"2020-11-03T18:27:01","modified_gmt":"2020-11-04T02:27:01","slug":"scene-reconstruction-from-multiple-cameras","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/scene-reconstruction-from-multiple-cameras\/","title":{"rendered":"Scene Reconstruction from Multiple Cameras"},"content":{"rendered":"<div class=\"asset-content\">\n<p>This paper reviews a number of recently developed stereo matching algorithms and representations. It focuses on techniques that are especially well suited for stereoscopic and 3-D imaging applications such as novel view generation and the mixing of live imagery with synthetic computer graphics. The paper reviews some recent approaches to the classic problem of recovering a depth map from two or more images. It then describes a number of newer representations (and their associated reconstruction algorithms), including volumetric representations, layered plane-plus-parallax representations, and multiple depth maps.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper reviews a number of recently developed stereo matching algorithms and representations. It focuses on techniques that are especially well suited for stereoscopic and 3-D imaging applications such as novel view generation and the mixing of live imagery with synthetic computer graphics. The paper reviews some recent approaches to the classic problem of recovering [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"szeliski"}],"msr_publishername":"IEEE Computer Society","msr_publisher_other":"","msr_booktitle":"International Conference on Image Processing (ICIP-2000)","msr_chapter":"","msr_edition":"International Conference on Image Processing (ICIP-2000)","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"13-16","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"I","msr_copyright":"Copyright \u00a9 2007 IEEE.   Reprinted from IEEE Computer Society.\r\n\r\nThis material is posted here with permission of the IEEE.  Internal or personal use of this material is permitted.  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