Facial deblur inference using subspace analysis for recognition of blurred faces

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 33, Issue 4, 2011, Pages 838-845

  Nishiyama, Masashi ^a   Hadid, Abdenour ^b   Takeshima, Hidenori ^a   Shotton, Jamie ^c   Kozakaya, Tatsuo ^a   Yamaguchi, Osamu ^a  

^a TOSHIBA CORPORATION   (Japan)

^b UNIVERSITY OF OULU   (Finland)

^c MICROSOFT RESEARCH   (United Kingdom)

Author keywords

deblur.; Face recognition; inference; point spread function

Indexed keywords

BLURRED IMAGE; DEBLUR.; DEBLURRING; EXISTING METHOD; FACE DATABASE; FACIAL IMAGES; FEATURE SPACE; ILL POSED PROBLEM; INFERENCE; LOCAL PHASE; MOTION BLUR; NOVEL METHODS; POINT SPREAD FUNCTION; POINT-SPREAD FUNCTIONS; PRIOR INFORMATION; PRIOR KNOWLEDGE; QUERY IMAGES; RECOGNITION PERFORMANCE; STATISTICAL MODELS; SUBSPACE ANALYSIS; TRAINING SETS;

OPTICAL TRANSFER FUNCTION;

FACE RECOGNITION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; FACE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE PROCESSING; METHODOLOGY;

ALGORITHMS; FACE; HUMANS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED;

EID: 79951947152     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2010.203     Document Type: Article

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