Rotation invariant kernels and their application to shape analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 31, Issue 11, 2009, Pages 1985-1999

  Hamsici, Onur C ^a   Martinez, Aleix M ^a  

^a The Ohio State University   (United States)

Author keywords

Face recognition; Handshape; Kernel functions; LB1; Object recognition; Rotation invariance; Shape analysis; Spherical homoscedastic distributions

Indexed keywords

HANDSHAPE; KERNEL FUNCTIONS; LB1; ROTATION INVARIANCE; SHAPE ANALYSIS; SPHERICAL-HOMOSCEDASTIC DISTRIBUTIONS;

FACE RECOGNITION; LINEARIZATION; OBJECT RECOGNITION; OPTICAL COLLIMATORS; PARAMETER ESTIMATION; ROTATION; SPHERES; TWO DIMENSIONAL;

THREE DIMENSIONAL;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; ROTATION; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; ROTATION; SENSITIVITY AND SPECIFICITY;

EID: 70349878940     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2008.234     Document Type: Article

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