{"id":153253,"date":"2022-12-19T23:22:45","date_gmt":"2022-12-20T05:22:45","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2022\/12\/a-face-recognition-framework-based-on-vision-transformers"},"modified":"2022-12-19T23:22:45","modified_gmt":"2022-12-20T05:22:45","slug":"a-face-recognition-framework-based-on-vision-transformers","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2022\/12\/a-face-recognition-framework-based-on-vision-transformers","title":{"rendered":"A face recognition framework based on vision transformers"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/a-face-recognition-framework-based-on-vision-transformers3.jpg\"><\/a><\/p>\n<p>Face recognition tools are computational models that can identify specific people in images, as well as CCTV or video footage. These tools are already being used in a wide range of real-world settings, for instance aiding law enforcement and border control agents in their criminal investigations and surveillance efforts, and for authentication and biometric applications. While most existing models perform remarkably well, there may still be much room for improvement.<\/p>\n<p>Researchers at Queen Mary University of London have recently created a new and promising <a href=\"https:\/\/techxplore.com\/tags\/architecture\/\" rel=\"tag\" class=\"\">architecture<\/a> for face recognition. This architecture, presented in a paper pre-published on <i>arXiv<\/i>, is based on a strategy to extract <a href=\"https:\/\/techxplore.com\/tags\/facial+features\/\" rel=\"tag\" class=\"\">facial features<\/a> from images that differs from most of those proposed so far.<\/p>\n<p>\u201cHolistic methods using <a href=\"https:\/\/techxplore.com\/tags\/convolutional+neural+networks\/\" rel=\"tag\" class=\"\">convolutional neural networks<\/a> (CNNs) and margin-based losses have dominated research on face recognition,\u201d Zhonglin Sun and Georgios Tzimiropoulos, the two researchers who carried out the study, told TechXplore.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Face recognition tools are computational models that can identify specific people in images, as well as CCTV or video footage. These tools are already being used in a wide range of real-world settings, for instance aiding law enforcement and border control agents in their criminal investigations and surveillance efforts, and for authentication and biometric applications. [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1493,1412,6,1492,1511],"tags":[],"class_list":["post-153253","post","type-post","status-publish","format-standard","hentry","category-law-enforcement","category-privacy","category-robotics-ai","category-security","category-surveillance"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/153253","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=153253"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/153253\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=153253"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=153253"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=153253"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}