{"id":337,"date":"2021-11-10T11:54:29","date_gmt":"2021-11-10T11:54:29","guid":{"rendered":"http:\/\/www.cs.ubbcluj.ro\/~meco\/?p=337"},"modified":"2025-12-19T14:45:29","modified_gmt":"2025-12-19T14:45:29","slug":"a-versatile-3d-face-reconstruction-from-multiple-images-for-face-shape-classification-2019","status":"publish","type":"post","link":"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-versatile-3d-face-reconstruction-from-multiple-images-for-face-shape-classification-2019\/","title":{"rendered":"A Versatile 3D Face Reconstruction from Multiple Images for Face Shape Classification (2019)"},"content":{"rendered":"\n<p>Abstract<\/p>\n\n\n\n<p>In this paper we present a 3D facial reconstruction algorithm for facial shape classification. We propose a reconstruction method that preserves facial ratios independent on the captured poses allowing thus a precise facial shape classification\/determination. We use an Active Appearance Model on a set of facial image captures with different poses on which we auto-calibrate the camera parameters (intrinsic and extrinsic). We then fit\/morph the statistical model to a set of facial landmarks in order to obtain an accurate 3D face reconstruction. We show the obtained results and compare them with other approaches in the literature.<\/p>\n\n\n\n<p>Citare<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">A. Marinescu, T. Ileni, A. D\u0103r\u0103bant, A Versatile 3D Face Reconstruction from Multiple Images for Face Shape Classification, SoftCOM 2019, 27th International Conference on Software, Telecommunications and Computer Networks<\/pre>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Abstract In this paper we present a 3D facial reconstruction algorithm for facial shape classification. We propose a reconstruction method that preserves facial ratios independent on the captured poses allowing thus a precise facial shape classification\/determination. We use an Active Appearance Model on a set of facial image captures with different poses on which we&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[4],"tags":[11],"_links":{"self":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/posts\/337"}],"collection":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/comments?post=337"}],"version-history":[{"count":1,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/posts\/337\/revisions"}],"predecessor-version":[{"id":338,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/posts\/337\/revisions\/338"}],"wp:attachment":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/media?parent=337"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/categories?post=337"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/tags?post=337"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}