{"id":9,"date":"2022-04-28T21:59:27","date_gmt":"2022-04-28T21:59:27","guid":{"rendered":"https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/?p=9"},"modified":"2022-12-09T15:30:04","modified_gmt":"2022-12-09T15:30:04","slug":"9","status":"publish","type":"post","link":"https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/2022\/04\/28\/9\/","title":{"rendered":"3DMM"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Baseline<\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"396\" src=\"https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/Screen-Shot-2022-12-09-at-10.29.19-AM-1024x396.png\" alt=\"\" class=\"wp-image-89\" srcset=\"https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/Screen-Shot-2022-12-09-at-10.29.19-AM-1024x396.png 1024w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/Screen-Shot-2022-12-09-at-10.29.19-AM-300x116.png 300w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/Screen-Shot-2022-12-09-at-10.29.19-AM-768x297.png 768w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/Screen-Shot-2022-12-09-at-10.29.19-AM-1536x594.png 1536w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/12\/Screen-Shot-2022-12-09-at-10.29.19-AM.png 1634w\" sizes=\"auto, (max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><figcaption>Pipeline<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Key Points Detection<\/h2>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-flow wp-block-group-is-layout-flow\"><\/div><\/div>\n\n\n\n<ul class=\"wp-block-list\"><li>Face key points detection<ul><li>Convolutional Pose Machine<\/li><\/ul><\/li><li>Ear key points detection<ul><li>YOLO + Convolutional Pose Machine<\/li><\/ul><\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"779\" src=\"https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/04\/key-1024x779.png\" alt=\"\" class=\"wp-image-43\" srcset=\"https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/04\/key-1024x779.png 1024w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/04\/key-300x228.png 300w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/04\/key-768x584.png 768w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/04\/key.png 1050w\" sizes=\"auto, (max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><figcaption>Left: face key points, right: ear key points<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">3DMM Fitting<\/h2>\n\n\n\n<p>Pipeline<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>2d keypoints K1 (including ears) on Rgb video from OpenPose and CPM, GT depth d1<\/li><li>3dmm (learned) + R, T (learned) + camera intrinsics-&gt; 2d keypoints K2, depth d2<\/li><li>Loss between K1 and K2, d1 and d2<\/li><li>Depth loss<ul><li>Fix the correspondence between mesh vertices and the pixel in the video<\/li><li>Iterate until the depth loss under the correspondence coverage and then update the correspondence \u2014&gt;<strong> increase the stability of the model<\/strong><\/li><\/ul><\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/04\/rgbd-1024x417.jpg\" alt=\"\" class=\"wp-image-21\" width=\"674\" height=\"274\" srcset=\"https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/04\/rgbd-1024x417.jpg 1024w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/04\/rgbd-300x122.jpg 300w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/04\/rgbd-768x312.jpg 768w, https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/wp-content\/uploads\/sites\/70\/2022\/04\/rgbd.jpg 1170w\" sizes=\"auto, (max-width: 674px) 100vw, 674px\" \/><figcaption>Blue key points: video, red key points: mesh<\/figcaption><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Baseline Key Points Detection Face key points detection Convolutional Pose Machine Ear key points detection YOLO + Convolutional Pose Machine 3DMM Fitting Pipeline 2d keypoints K1 (including ears) on Rgb video from OpenPose and CPM, GT depth d1 3dmm (learned) + R, T (learned) + camera intrinsics-&gt; 2d keypoints K2, depth d2 Loss between K1 &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/mscvprojects.ri.cmu.edu\/2022team15\/2022\/04\/28\/9\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;3DMM&#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-9","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>- 3D Face Reconstruction using Mobile Device<\/title>\n<meta name=\"description\" content=\"%\" \/>\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\/04\/28\/9\/\" \/>\n<meta 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