{"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-de-spoofing-anti-spoofing-via-noise","title":"Face De-Spoofing: Anti-Spoofing via Noise Modeling","arxiv_id":"1807.09968","date":"2018-07-26","proceeding":"ECCV 2018 9","authors":["Amin Jourabloo","Yaojie Liu","Xiaoming Liu"],"abstract":"Many prior face anti-spoofing works develop discriminative models for\nrecognizing the subtle differences between live and spoof faces. Those\napproaches often regard the image as an indivisible unit, and process it\nholistically, without explicit modeling of the spoofing process. In this work,\nmotivated by the noise modeling and denoising algorithms, we identify a new\nproblem of face de-spoofing, for the purpose of anti-spoofing: inversely\ndecomposing a spoof face into a spoof noise and a live face, and then utilizing\nthe spoof noise for classification. A CNN architecture with proper constraints\nand supervisions is proposed to overcome the problem of having no ground truth\nfor the decomposition. We evaluate the proposed method on multiple face\nanti-spoofing databases. The results show promising improvements due to our\nspoof noise modeling. Moreover, the estimated spoof noise provides a\nvisualization which helps to understand the added spoof noise by each spoof\nmedium.","url_abs":"http://arxiv.org/abs/1807.09968v1","url_pdf":"http://arxiv.org/pdf/1807.09968v1.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-de-spoofing-anti-spoofing-via-noise","repo_url":"https://github.com/yaojieliu/ECCV2018-FaceDeSpoofing","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"denoising","task_name":"Denoising"},{"task_slug":"face-anti-spoofing","task_name":"Face Anti-Spoofing"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1807.09968","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}