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

• المؤلفون الرئيسيون: Lu, Jiwen, Liong, Venice Erin, Zhou, Jie
• مؤلفون آخرون: Interdisciplinary Graduate School (IGS)
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Electrical and electronic engineering; Face Recognition; Heterogeneous Face Matching
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/139848

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...