A Fast Extension for Sparse Representation on Robust Face Recognition

We extend a recent Sparse Representation-based Classification (SRC) algorithm for face recognition to work on 2D images directly, aiming to reduce the computational complexity whilst still maintaining performance. Our contributions include: (1) a new 2D extension of SRC algorithm; (2) an incremental computing procedure which can reduce the eigen decomposition expense of each 2D-SRC for sequential input data; and (3) extensive numerical studies to validate the proposed methods. Keywords-Compressive Sensing; Sparse Representation; Face Recognition; Incremental Learning

• Type: Conference
• Year: 2010
• Where: ICPR
• Authors: Hui-Ning Qiu, Duc-Son Pham, Wanquan Liu, Svetha Venkatesh, Jian-Huang Lai
• Keywords: Computer Vision, Face Recognition, ICPR 2010, Incremental Computing Procedure, Sparse Representation-based Classification