A spectral feature based approach for face recognition with one training sample

• Main Authors: Sun, Zhan-Li, Lam, Kin-Man, Dong, Zhao-Yang, Wang, Han
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/97925; http://hdl.handle.net/10220/12081
• Institution: Nanyang Technological University

In this paper, a novel spectral feature image-based 2DLDA (two-dimensional linear discriminant analysis) ensemble algorithm is proposed for face recognition with one sample image per person. In our algorithm, multi-resolution spectral feature images are constructed to represent the face images. The...