Transform-invariant PCA: A unified approach to fully automatic face alignment, representation, and recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 36, Issue 6, 2014, Pages 1275-1284

  Deng, Weihong ^a   Hu, Jiani ^a   Lu, Jiwen ^b   Guo, Jun ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b ADVANCED DIGITAL SCIENCES CENTER   (Singapore)

Author keywords

eigenfaces; Face alignment; face coding; face recognition; principal component analysis

Indexed keywords

ALIGNMENT; CODES (SYMBOLS); IMAGE CLASSIFICATION; IMAGE CODING; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES;

CLASSIFICATION METHODS; EIGENFACES; EIGENSPACE REPRESENTATION; FACE ALIGNMENT; FACE CODING; HISTOGRAM OF ORIENTED GRADIENTS (HOG); INVARIANT DESCRIPTORS; SPARSE REPRESENTATION BASED CLASSIFICATIONS;

FACE RECOGNITION;

EID: 84901844515     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2013.194     Document Type: Article

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