Extended SRC: Undersampled Face Recognition via Intraclass Variant Dictionary

Sparse Representation-Based Classification (SRC) is a face recognition breakthrough in recent years which has successfully addressed the recognition problem with sufficient training images of each gallery subject. In this paper, we extend SRC to applications where there are very few, or even a singl...

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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 34; no. 9; pp. 1864 - 1870
Main Authors:	Deng, Weihong, Hu, Jiani, Guo, Jun
Format:	Journal Article
Language:	English
Published:	Los Alamitos, CA IEEE 01.09.2012 IEEE Computer Society The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Applied sciences Approximation Artificial intelligence Biometric Identification - methods Classification Computer science; control theory; systems Databases, Factual Detection, estimation, filtering, equalization, prediction Dictionaries Error analysis Exact sciences and technology Face Face - anatomy & histology Face recognition Facial Expression feature extraction Female Galleries Humans Illumination Image Processing, Computer-Assisted - methods Information, signal and communications theory Lighting Male Pattern recognition. Digital image processing. Computational geometry Signal and communications theory Signal, noise sparse representation Studies Telecommunications and information theory Training undersampled problem undersampled problem Computer vision Dictionaries Image processing Face recognition Autoregressive model Regression analysis Pattern recognition Luminance Experimental result feature extraction Classification Facies Database Selection criterion Illumination Sparse representation Large scale Age Pattern extraction
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online Access:	Get full text
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