{"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/greedy-search-for-descriptive-spatial-face","title":"Greedy Search for Descriptive Spatial Face Features","arxiv_id":"1701.01879","date":"2017-01-07","proceeding":null,"authors":["Caner Gacav","Burak Benligiray","Cihan Topal"],"abstract":"Facial expression recognition methods use a combination of geometric and\nappearance-based features. Spatial features are derived from displacements of\nfacial landmarks, and carry geometric information. These features are either\nselected based on prior knowledge, or dimension-reduced from a large pool. In\nthis study, we produce a large number of potential spatial features using two\ncombinations of facial landmarks. Among these, we search for a descriptive\nsubset of features using sequential forward selection. The chosen feature\nsubset is used to classify facial expressions in the extended Cohn-Kanade\ndataset (CK+), and delivered 88.7% recognition accuracy without using any\nappearance-based features.","url_abs":"http://arxiv.org/abs/1701.01879v2","url_pdf":"http://arxiv.org/pdf/1701.01879v2.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":"greedy-search-for-descriptive-spatial-face","repo_url":"https://github.com/bbenligiray/greedy-face-features","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"greedy-search-for-descriptive-spatial-face","repo_url":"https://github.com/kyranstar/Narcissus","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":"descriptive","task_name":"Descriptive"},{"task_slug":"facial-expression-recognition-1","task_name":"Facial Expression Recognition"},{"task_slug":"facial-expression-recognition","task_name":"Facial Expression Recognition (FER)"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/facial-expression-recognition-on-cohn-kanade","task":"Facial Expression Recognition (FER)","dataset":"Cohn-Kanade","model":"Sequential forward selection","rank_in_archive_order":1,"of":1,"metrics":{"Accuracy":"88.7%"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}