Robust structured sparse representation via half-quadratic optimization for face recognition

• Published in: Multimedia tools and applications Vol. 76; no. 6; pp. 8859 - 8880
• Main Authors: Peng, Yong, Lu, Bao-Liang
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.03.2017; Springer Nature B.V
• Subjects: Computer Communication Networks; Computer Science; Computer vision; Data Structures and Information Theory; Face recognition; Facial recognition technology; Image reconstruction; Multimedia Information Systems; Noise; Noise sensitivity; Occlusion; Optimization; Performance enhancement; Representations; Signal processing; Sparsity; Special Purpose and Application-Based Systems; Training; Sparse representation; Structured sparsity; Robustness; Half-quadratic optimization; Face recognition

By representing a test sample with a linear combination of training samples, sparse representation-based classification (SRC) has shown promising performance in many applications such as computer vision and signal processing. However, there are several shortcomings in SRC such as 1) the l 2 -norm em...