Supervised Filter Learning for Representation Based Face Recognition

• Published in: PloS one Vol. 11; no. 7; p. e0159084
• Main Authors: Bi, Chao, Zhang, Lei, Qi, Miao, Zheng, Caixia, Yi, Yugen, Wang, Jianzhong, Zhang, Baoxue
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 14.07.2016; Public Library of Science (PLoS)
• Subjects: Algorithms; Artificial Intelligence; Biology and Life Sciences; Biometry; Classification; Computer science; Databases, Factual; Event driven simulation; Face; Face recognition; Face recognition technology; Facial Recognition; Facial recognition technology; Image filters; Image Interpretation, Computer-Assisted - methods; Image retrieval; Information technology; International conferences; Lighting; Machine learning; Medicine and Health Sciences; Methods; Multimedia; Object recognition; Pattern recognition; Pattern Recognition, Automated - methods; Physical Sciences; Preprocessing; Principal components analysis; Representations; Research and Analysis Methods; Social Sciences; China

Representation based classification methods, such as Sparse Representation Classification (SRC) and Linear Regression Classification (LRC) have been developed for face recognition problem successfully. However, most of these methods use the original face images without any preprocessing for recognit...