{"id":69,"date":"2024-07-09T15:07:37","date_gmt":"2024-07-09T13:07:37","guid":{"rendered":"https:\/\/project.inria.fr\/roofsat\/?page_id=69"},"modified":"2024-09-27T13:23:48","modified_gmt":"2024-09-27T11:23:48","slug":"linefit","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/roofsat\/linefit\/","title":{"rendered":"LineFit"},"content":{"rendered":"\n

<\/p>\n\n\n\n

LineFit is a generic line segment detector<\/strong> that fits line segments from a predicted image gradient map. While existing detectors aim at capturing line segments on line-like structures<\/strong>, LineFit also seeks to approximate curved shapes<\/strong>. LineFit measures and optimizes the quality of a line segment configuration globally as a point-to-line fitting problem.<\/p>\n\n\n\n

Here are some examples of line detection on various type of images: <\/p>\n\n\n\n

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\"\"<\/a><\/figure>\n<\/div>\n\n\n\n
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\"\"<\/a><\/figure>\n<\/div>\n<\/div>\n\n\n\n

Download<\/h2>\n\n\n\n

Click HERE<\/a> to download the Windows executable.<\/p>\n\n\n\n

Linux executable coming soon.<\/p>\n\n\n\n

Citation<\/h3>\n\n\n\n

If you use LineFit in your research please refer to the paper ‘LineFit: A Geometric Approach for Fitting Line Segments in Images<\/a>\u2019 by Marion Boyer, David Youssefi and Florent Lafarge, presented at ECCV 2024.<\/p>\n\n\n\n

Copyright<\/h3>\n\n\n\n

The executable can be used for research purposes only. The software is copyrighted by Inria \/ CNES \/ AIRBUS DS<\/p>\n","protected":false},"excerpt":{"rendered":"

LineFit is a generic line segment detector that fits line segments from a predicted image gradient map. While existing detectors aim at capturing line segments on line-like structures, LineFit also seeks to approximate curved shapes. LineFit measures and optimizes the quality of a line segment configuration globally as a point-to-line\u2026<\/p>\n

Continue reading<\/span><\/i><\/a> <\/p>\n","protected":false},"author":2490,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-69","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/roofsat\/wp-json\/wp\/v2\/pages\/69","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/roofsat\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/roofsat\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/roofsat\/wp-json\/wp\/v2\/users\/2490"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/roofsat\/wp-json\/wp\/v2\/comments?post=69"}],"version-history":[{"count":10,"href":"https:\/\/project.inria.fr\/roofsat\/wp-json\/wp\/v2\/pages\/69\/revisions"}],"predecessor-version":[{"id":138,"href":"https:\/\/project.inria.fr\/roofsat\/wp-json\/wp\/v2\/pages\/69\/revisions\/138"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/roofsat\/wp-json\/wp\/v2\/media?parent=69"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}