Simultaneous object classification and segmentation with high-order multiple shape models

IEEE Transactions on Image Processing

Volumn 19, Issue 3, 2010, Pages 625-635

  Lecumberry, Federico ^a   Pardo, Álvaro ^b   Sapiro, Guillermo ^c  

^a UNIVERSIDAD DE LA REPÚBLICA   (Uruguay)

^b UNIVERSIDAD CATÓLICA DEL URUGUAY   (Uruguay)

^c University of Minnesota   (United States)

Author keywords

Image segmentation; Object modeling; Shape priors; Variational formulations

Indexed keywords

COMMON FEATURES; ENERGY FUNCTIONALS; HIGH-ORDER; HUMAN ACTIVITIES; IMAGE INFORMATION; MODEL SELECTION; MODEL SWITCHING; NATURAL VARIABILITY; OBJECT BASED; OBJECT CLASS; OBJECT CLASSIFICATION; OBJECT MODELING; SHAPE MODEL; SHAPE PRIORS; SHAPE SIMILARITY; STEEPEST DESCENT; TRANSFORMATION INVARIANCE; VARIATIONAL FORMULATION; VARIATIONAL FORMULATIONS;

DIGITAL IMAGE STORAGE; INVARIANCE; OBJECT RECOGNITION;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; HUMAN; IMAGE PROCESSING; LIP; METHODOLOGY; MOUTH; NORMAL DISTRIBUTION; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; THEORETICAL MODEL; WALKING; WHOLE BODY IMAGING;

ALGORITHMS; CLUSTER ANALYSIS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIP; MODELS, THEORETICAL; MOUTH; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; WALKING; WHOLE BODY IMAGING;

EID: 77249121673     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2009.2038759     Document Type: Article

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