{"id":150613,"date":"1998-01-01T00:00:00","date_gmt":"1998-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/automatic-camera-recovery-for-closed-or-open-image-sequences\/"},"modified":"2018-10-16T20:04:16","modified_gmt":"2018-10-17T03:04:16","slug":"automatic-camera-recovery-for-closed-or-open-image-sequences","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/automatic-camera-recovery-for-closed-or-open-image-sequences\/","title":{"rendered":"Automatic Camera Recovery for Closed or Open Image Sequences"},"content":{"rendered":"<div class=\"abstract\">\n<p>We describe progress in completely automatically recovering 3D scene structure together with 3D camera positions from a sequence of images acquired by an unknown camera undergoing unknown movement.<\/p>\n<p>The main departure from previous structure from motion strategies is that processing is {em not} sequential. Instead a hierarchical approach is employed building from image triplets and associated trifocal tensors. This is advantageous both in obtaining correspondences and also in optimally distributing error over the sequence.<\/p>\n<p>The major step forward is that closed sequences can now be dealt with easily. That is, sequences where part of a scene is revisited at a later stage in the sequence. Such sequences contain additional constraints, compared to open sequences, from which the reconstruction can now benefit.<\/p>\n<p>The computed cameras and structure are the backbone of a system to build texture mapped graphical models directly from image sequences.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>We describe progress in completely automatically recovering 3D scene structure together with 3D camera positions from a sequence of images acquired by an unknown camera undergoing unknown movement. The main departure from previous structure from motion strategies is that processing is {em not} sequential. Instead a hierarchical approach is employed building from image triplets and [&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":null,"msr_publishername":"Springer","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"LNCS 1406: Computer Vision\u2014ECCV '98","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"311\u2013326","msr_page_range_start":"311","msr_page_range_end":"326","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"LNCS 1406: Computer Vision\"\u201dECCV '98","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"A. W. Fitzgibbon, A. 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