{"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/improving-shadow-suppression-for-illumination","title":"Improving Shadow Suppression for Illumination Robust Face Recognition","arxiv_id":"1710.05073","date":"2017-10-13","proceeding":null,"authors":["Wuming Zhang","Xi Zhao","Jean-Marie Morvan","Liming Chen"],"abstract":"2D face analysis techniques, such as face landmarking, face recognition and\nface verification, are reasonably dependent on illumination conditions which\nare usually uncontrolled and unpredictable in the real world. An illumination\nrobust preprocessing method thus remains a significant challenge in reliable\nface analysis. In this paper we propose a novel approach for improving lighting\nnormalization through building the underlying reflectance model which\ncharacterizes interactions between skin surface, lighting source and camera\nsensor, and elaborates the formation of face color appearance. Specifically,\nthe proposed illumination processing pipeline enables the generation of\nChromaticity Intrinsic Image (CII) in a log chromaticity space which is robust\nto illumination variations. Moreover, as an advantage over most prevailing\nmethods, a photo-realistic color face image is subsequently reconstructed which\neliminates a wide variety of shadows whilst retaining the color information and\nidentity details. Experimental results under different scenarios and using\nvarious face databases show the effectiveness of the proposed approach to deal\nwith lighting variations, including both soft and hard shadows, in face\nrecognition.","url_abs":"http://arxiv.org/abs/1710.05073v1","url_pdf":"http://arxiv.org/pdf/1710.05073v1.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":"improving-shadow-suppression-for-illumination","repo_url":"https://github.com/Nacriema/Robust_Face_Recognition","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"face-recognition","task_name":"Face Recognition"},{"task_slug":"face-verification","task_name":"Face Verification"},{"task_slug":"robust-face-recognition","task_name":"Robust Face Recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1710.05073","atlas_url":"https://app.syntology.ai/?focus=1710.05073","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}