{"id":248330,"date":"2017-03-02T23:53:02","date_gmt":"2017-03-03T07:53:02","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/?post_type=msr-research-item&#038;p=248330"},"modified":"2018-10-16T22:12:07","modified_gmt":"2018-10-17T05:12:07","slug":"multiview-rectification-folded-documents","status":"publish","type":"msr-research-item","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/multiview-rectification-folded-documents\/","title":{"rendered":"Multiview Rectification of Folded Documents"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-376787 aligncenter\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2017\/03\/mv_rectify_teaser.png\" alt=\"\" width=\"569\" height=\"359\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2017\/03\/mv_rectify_teaser.png 569w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2017\/03\/mv_rectify_teaser-300x189.png 300w\" sizes=\"auto, (max-width: 569px) 100vw, 569px\" \/><\/p>\n<p><span style=\"font: 14.4px\/20.16px 'Lucida Grande', helvetica, arial, verdana, sans-serif;color: #000000;text-indent: 0px;letter-spacing: normal;float: none;background-color: #ffffff\">Digitally unwrapping images of paper sheets is crucial for accurate document scanning and text recognition. This paper presents a method for automatically rectifying curved or folded paper sheets from a few images captured from multiple viewpoints. Prior methods either need expensive 3D scanners or model deformable surfaces using over-simplified parametric representations. In contrast, our method uses regular images and is based on general developable surface models that can represent a wide variety of paper deformations. Our main contribution is a new robust rectification method based on ridge-aware 3D reconstruction of a paper sheet and unwrapping the reconstructed surface using properties of developable surfaces via<span class=\"Apple-converted-space\">\u00a0<\/span><\/span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" style=\"font: 14.4px\/normal 'Lucida Grande', helvetica, arial, verdana, sans-serif;margin: 0px;padding: 0px;border: 0px currentColor;text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;float: none;direction: ltr;min-height: 0px;max-height: none;min-width: 0px;max-width: none;background-color: #ffffff\"><span id=\"MathJax-Span-1\" class=\"math\"><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msubsup\"><span id=\"MathJax-Span-4\" class=\"mi\">\u2113<\/span><span id=\"MathJax-Span-5\" class=\"mn\">1<\/span><\/span><\/span><\/span><\/span><span style=\"font: 14.4px\/20.16px 'Lucida Grande', helvetica, arial, verdana, sans-serif;color: #000000;text-indent: 0px;letter-spacing: normal;float: none;background-color: #ffffff\"><span class=\"Apple-converted-space\">\u00a0<\/span>conformal mapping. We present results on several examples including book pages, folded letters and shopping receipts.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Digitally unwrapping images of paper sheets is crucial for accurate document scanning and text recognition. This paper presents a method for automatically rectifying curved or folded paper sheets from a few images captured from multiple viewpoints. Prior methods either need expensive 3D scanners or model deformable surfaces using over-simplified parametric representations. In contrast, our method [&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":"IEEE","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"IEEE Transactions on Pattern Analysis and Machine 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You","user_id":0,"rest_url":false},{"type":"text","value":"Yasuyuki Matsushita","user_id":0,"rest_url":false},{"type":"user_nicename","value":"sudipsin","user_id":33748,"rest_url":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=sudipsin"},{"type":"text","value":"Yusuke Bou","user_id":0,"rest_url":false},{"type":"text","value":"Katsushi 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