{"id":79,"date":"2022-12-09T15:24:39","date_gmt":"2022-12-09T15:24:39","guid":{"rendered":"https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/?p=79"},"modified":"2022-12-09T18:18:16","modified_gmt":"2022-12-09T18:18:16","slug":"overview","status":"publish","type":"post","link":"https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/2022\/12\/09\/overview\/","title":{"rendered":"Overview"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Motivation<\/h2>\n\n\n\n<p>With the development of VR\/AR, users want to animate their face in virtual reality<\/p>\n\n\n\n<p>A normally used 3D scanner in industry has several limitations:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Time costing<\/li><li>Expensive<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"960\" height=\"960\" src=\"https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/20170602102447_15237.jpeg\" alt=\"\" class=\"wp-image-92\" srcset=\"https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/20170602102447_15237.jpeg 960w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/20170602102447_15237-300x300.jpeg 300w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/20170602102447_15237-150x150.jpeg 150w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/20170602102447_15237-768x768.jpeg 768w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/20170602102447_15237-100x100.jpeg 100w\" sizes=\"auto, (max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><figcaption>3D scanner in industry<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Our Goal<\/h2>\n\n\n\n<p>Users can capture their 3D face just using their mobile phone!<\/p>\n\n\n\n<p>Our pipeline: RGB-D video from selfie camera \u2014&gt; 3D digital human heads<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"322\" src=\"https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/Screen-Shot-2022-12-09-at-10.34.01-AM-1024x322.png\" alt=\"\" class=\"wp-image-93\" srcset=\"https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/Screen-Shot-2022-12-09-at-10.34.01-AM-1024x322.png 1024w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/Screen-Shot-2022-12-09-at-10.34.01-AM-300x94.png 300w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/Screen-Shot-2022-12-09-at-10.34.01-AM-768x242.png 768w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/Screen-Shot-2022-12-09-at-10.34.01-AM-1536x483.png 1536w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/Screen-Shot-2022-12-09-at-10.34.01-AM.png 1634w\" sizes=\"auto, (max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><figcaption>Proposed Pipeline<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Challenges<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li>We are facing real-world in-the-wild iPhone data<ul><li>High variance in video quality<\/li><li>Unknown camera extrinsics<\/li><\/ul><\/li><li>How to utilize depth information<\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Motivation With the development of VR\/AR, users want to animate their face in virtual reality A normally used 3D scanner in industry has several limitations: Time costing Expensive Our Goal Users can capture their 3D face just using their mobile phone! Our pipeline: RGB-D video from selfie camera \u2014&gt; 3D digital human heads Challenges We &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/2022\/12\/09\/overview\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Overview&#8221;<\/span><\/a><\/p>\n","protected":false},"author":132,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-79","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Overview - 3D Face Reconstruction using Mobile Device<\/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\/2022team15\/2022\/12\/09\/overview\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Overview - 3D Face Reconstruction using Mobile Device\" \/>\n<meta property=\"og:description\" content=\"Motivation With the development of VR\/AR, users want to animate their face in virtual reality A normally used 3D scanner in industry has several limitations: Time costing Expensive Our Goal Users can capture their 3D face just using their mobile phone! 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