{"id":951,"date":"2019-03-07T10:25:31","date_gmt":"2019-03-07T13:25:31","guid":{"rendered":"http:\/\/web.inf.ufpr.br\/vri\/?page_id=951"},"modified":"2019-09-24T17:38:36","modified_gmt":"2019-09-24T20:38:36","slug":"ufpr-3dfe","status":"publish","type":"page","link":"https:\/\/web.inf.ufpr.br\/vri\/databases\/ufpr-3dfe\/","title":{"rendered":"UFPR-3DFE Dataset"},"content":{"rendered":"<p><img fetchpriority=\"high\" decoding=\"async\" src=\"http:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2019\/03\/UFPR-3DFE-dataset-sample-1024x621.jpg\" alt=\"\" width=\"640\" height=\"388\">\t\t\t\t\t\t\t\t\t\t\t<\/p>\n<p><\/p>\n\n\n<p>The present dataset, called UFPR-3D Facial Emotions (3DFE) contains 3D avatar base emotions generated through automatic synthesis.<\/p>\n\n\n\n<p>The full dataset has 88.6 MB and 69 files. The format of the files follows the 3D object wavefront format with the vertices information and their coordinates. Files of type  .OBJ can be used in any 3D editor or library that recognizes geometric objects. The specifications regarding the emotion and output method are given below. Files of type  .MTL consist of a material that can use mapping coordinates for UVW textures.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How to obtain the Dataset<\/h3>\n\n\n\n<p>UFPR-3D Facial Emotions (3DFE)  dataset is released for academic research only and is free to researchers from educational or research institutes for <strong>non-commercial purposes<\/strong>.<\/p>\n\n\n\n<p>Please click <a href=\"https:\/\/web.inf.ufpr.br\/vri\/databases\/ufpr-3dfe-dataset\/ufpr-3dfe-agreement\/\">here<\/a> for more info about obtaining this dataset.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">References<\/h3>\n\n\n\n<p>If you use the UFPR-3D Facial Emotions (3DFE)  dataset in your research please cite our paper:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Diego Addan Gon\u00e7alves, Eduardo Todt, and D\u00e9bora Pereira Cl\u00e1udio. 2017.  Landmark-based Facial Expression Parametrization for Sign Languages  Avatar Animation. In <em>Proceedings of the XVI Brazilian Symposium on Human Factors in Computing Systems<\/em> (IHC 2017). ACM, New York, NY, USA, Article 34, 6 pages. DOI: https:\/\/doi.org\/10.1145\/3160504.3160507<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Contact<\/h3>\n\n\n\n<p>Please contact Eduardo Todt (todt@inf.ufpr.br) with questions or comments.<\/p>\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>The present dataset, called UFPR-3D Facial Emotions (3DFE) contains 3D avatar base emotions generated through automatic synthesis. The full dataset has 88.6 MB and 69 files. The format of the files follows the 3D object wavefront format with the vertices <a href=\"https:\/\/web.inf.ufpr.br\/vri\/databases\/ufpr-3dfe\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":56,"featured_media":0,"parent":16,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-951","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/951","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/users\/56"}],"replies":[{"embeddable":true,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/comments?post=951"}],"version-history":[{"count":18,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/951\/revisions"}],"predecessor-version":[{"id":1448,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/951\/revisions\/1448"}],"up":[{"embeddable":true,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/16"}],"wp:attachment":[{"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/media?parent=951"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}