Simultaneous local binary feature learning and encoding for homogeneous and heterogeneous face recognition

• Main Authors: Lu, Jiwen, Liong, Venice Erin, Zhou, Jie
• 其他作者: Interdisciplinary Graduate School (IGS)
• 格式: Article
• 語言: English
• 出版: 2020
• 主題: Engineering::Electrical and electronic engineering; Face Recognition; Heterogeneous Face Matching
• 在線閱讀: https://hdl.handle.net/10356/139848
• 機構: Nanyang Technological University

In this paper, we propose a simultaneous local binary feature learning and encoding (SLBFLE) approach for both homogeneous and heterogeneous face recognition. Unlike existing hand-crafted face descriptors such as local binary pattern (LBP) and Gabor features which usually require strong prior knowle...