Singular value decomposition based virtual representation for face recognition

• Published in: Multimedia tools and applications Vol. 77; no. 6; pp. 7171 - 7186
• Main Authors: Zhang, Guiying, Zou, Wenbin, Zhang, Xianjie, Zhao, Yong
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.03.2018; Springer Nature B.V
• Subjects: Classification; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Face recognition; Facial recognition technology; Mathematical analysis; Matrix algebra; Matrix methods; Multimedia Information Systems; Representations; Singular value decomposition; Special Purpose and Application-Based Systems; Training; Sparse representation; Collaborative representation; Face recognition; Virtual samples; Singular value decomposition (SVD); Image classification

Sparse representation, which uses a test sample to represent a linear combination of an entire set of training samples, has achieved great success in face recognition, and it results in good performance when sufficient training samples exist. However, the available number of images of a subject’s fa...