Information geometry for landmark shape analysis: Unifying shape representation and deformation

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 31, Issue 2, 2009, Pages 337-350

  Peter, Adrian M ^a   Rangarajan, Anand ^a  

^a J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

Author keywords

Fisher information; Fisher Rao metric; Gaussian mixture models; Havrda Charv t entropy; Information geometry; Landmark shapes; Shape analysis; Shape matching

Indexed keywords

FISHER INFORMATION; FISHER-RAO METRIC; GAUSSIAN MIXTURE MODELS; INFORMATION GEOMETRY; LANDMARK SHAPES; SHAPE ANALYSIS; SHAPE MATCHING;

COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTATIONAL GEOMETRY; DEFORMATION; ENTROPY; GEODESY; MATRIX ALGEBRA; METRIC SYSTEM; MIXTURES; OBJECT RECOGNITION; PROBABILITY DENSITY FUNCTION; WIRELESS TELECOMMUNICATION SYSTEMS;

FISHER INFORMATION MATRIX;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 62249092462     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2008.69     Document Type: Article

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