{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/face-recognition-from-traditional-to-deep","title":"Face Recognition: From Traditional to Deep Learning Methods","arxiv_id":"1811.00116","date":"2018-10-31","proceeding":null,"authors":["Daniel Sáez Trigueros","Li Meng","Margaret Hartnett"],"abstract":"Starting in the seventies, face recognition has become one of the most\nresearched topics in computer vision and biometrics. Traditional methods based\non hand-crafted features and traditional machine learning techniques have\nrecently been superseded by deep neural networks trained with very large\ndatasets. In this paper we provide a comprehensive and up-to-date literature\nreview of popular face recognition methods including both traditional\n(geometry-based, holistic, feature-based and hybrid methods) and deep learning\nmethods.","url_abs":"http://arxiv.org/abs/1811.00116v1","url_pdf":"http://arxiv.org/pdf/1811.00116v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"face-recognition-from-traditional-to-deep","repo_url":"https://github.com/zachzhu2016/Spectraface","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"face-recognition-from-traditional-to-deep","repo_url":"https://github.com/zachzhu2016/thermal-face-recognition","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"face-recognition","task_name":"Face Recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}