Joint Feature Learning for Face Recognition

• Main Authors: Lu, Jiwen, Liong, Venice Erin, Wang, Gang, Moulin, Pierre
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2016
• Subjects: Face recognition; Feature learning
• Online Access: https://hdl.handle.net/10356/81670; http://hdl.handle.net/10220/40924
• Institution: Nanyang Technological University

This paper presents a new joint feature learning (JFL) approach to automatically learn feature representation from raw pixels for face recognition. Unlike many existing face recognition systems, where conventional feature descriptors, such as local binary patterns and Gabor features, are used for fa...