Integrating Conventional and Inverse Representation for Face Recognition

• Published in: IEEE transactions on cybernetics Vol. 44; no. 10; pp. 1738 - 1746
• Main Authors: Yong Xu, Xuelong Li, Jian Yang, Zhihui Lai, Zhang, David
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.10.2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Algorithms; Biometric Identification - methods; Classification; Databases, Factual; Deviation; Face; Face - anatomy & histology; Face recognition; Humans; Inverse; Lighting; Linear Models; pattern recognition; Pattern Recognition, Automated - methods; Recognition; Regression; representation-based classification; Representations; Training; Vectors; Face recognition; representation-based classification; pattern recognition

Representation-based classification methods are all constructed on the basis of the conventional representation, which first expresses the test sample as a linear combination of the training samples and then exploits the deviation between the test sample and the expression result of every class to p...