{"id":27,"date":"2018-12-08T17:24:53","date_gmt":"2018-12-08T17:24:53","guid":{"rendered":"http:\/\/mscvprojects.ri.cmu.edu\/2018team8\/?page_id=27"},"modified":"2018-12-10T07:49:31","modified_gmt":"2018-12-10T07:49:31","slug":"project-summary","status":"publish","type":"page","link":"https:\/\/mscvprojects.ri.cmu.edu\/2018team8\/project-summary\/","title":{"rendered":"Project summary"},"content":{"rendered":"<p>In this project, we develop methods for indoor scene understanding from time lapse imagery captured from a single camera with a sensor that is sensitive in both RGB and NIR wavelength domain. The tasks include<\/p>\n<ul>\n<li>Dual-Camera System and Photometric stereo<\/li>\n<li>Intrinsic Image Decomposition<\/li>\n<li>Shadow Detection and Removal<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>In this project, we develop methods for indoor scene understanding from time lapse imagery captured from a single camera with a sensor that is sensitive in both RGB and NIR wavelength domain. The tasks include Dual-Camera System and Photometric stereo Intrinsic Image Decomposition Shadow Detection and Removal<\/p>\n","protected":false},"author":21,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-27","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Project summary - Indoor scene understanding using long-term time-lapse imagery<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mscvprojects.ri.cmu.edu\/2018team8\/project-summary\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Project summary - Indoor scene understanding using long-term time-lapse imagery\" \/>\n<meta property=\"og:description\" content=\"In this project, we develop methods for indoor scene understanding from time lapse imagery captured from a single camera with a sensor that is sensitive in both RGB and NIR wavelength domain. 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