{"id":2,"date":"2018-09-17T18:31:21","date_gmt":"2018-09-17T18:31:21","guid":{"rendered":"http:\/\/mscvprojects.ri.cmu.edu\/2018team6\/?page_id=2"},"modified":"2018-12-10T19:47:11","modified_gmt":"2018-12-10T19:47:11","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/mscvprojects.ri.cmu.edu\/2018team6\/","title":{"rendered":"Resources"},"content":{"rendered":"
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Facebook Reality Labs Pittsburgh is working on realistic 3D face reconstruction at VR headsets. They built a dome to collect multi-view human face data and developed an accurate geometry-based 3D reconstruction algorithm. However, they found two problems with their pipeline. First, they don\u2019t have ground truth data to evaluate it. Second, they need the algorithm to be faster. Our project is set to tackle these two problems. We built a synthetic dataset to evaluate the existing pipeline and explored several deep learning methods to achieve acceleration.<\/span><\/div>\n<\/div>\n<\/div>\n
<\/div>\n

You can find a summary of our work as well as demos in our final presentation slides:<\/p>\n

Final Presentation<\/a><\/p>\n

And here are our PPF progress reports:<\/p>\n

PPF Report 9\/14<\/a><\/p>\n

PPF Report 10\/5<\/a><\/p>\n

PPF Report 11\/9<\/a><\/p>\n

 <\/p>\n

Contacts:<\/p>\n

He Wen (hew1@andrew.cmu.edu<\/a>)<\/p>\n

Ruoyuan Zhao (ruoyuanz@andrew.cmu.edu<\/a>)<\/p>\n","protected":false},"excerpt":{"rendered":"

Facebook Reality Labs Pittsburgh is working on realistic 3D face reconstruction at VR headsets. They built a dome to collect multi-view human face data and developed an accurate geometry-based 3D reconstruction algorithm. However, they found two problems with their pipeline. First, they don\u2019t have ground truth data to evaluate it. Second, they need the algorithm … <\/p>\n

Continue reading “Resources”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2","page","type-page","status-publish","hentry"],"yoast_head":"\nResources - Learning Person-Specific 3D Face Reconstruction with Quantitative Analysis<\/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\/2018team6\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Resources - Learning Person-Specific 3D Face Reconstruction with Quantitative Analysis\" \/>\n<meta property=\"og:description\" content=\"Facebook Reality Labs Pittsburgh is working on realistic 3D face reconstruction at VR headsets. 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