Component optimization for image understanding: A Bayesian approach

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 28, Issue 5, 2006, Pages 684-693

  Cheng, Li ^a   Caelli, Terry ^b   Sanchez Azofeifa, Arturo ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

^b CSIRO   (Australia)

Author keywords

3D fitting; Forestry inventory; Image understanding; Scene analysis; Segmentation; Stereo

Indexed keywords

COMPUTER SIMULATION; IMAGE SEGMENTATION; OPTIMIZATION; STATISTICAL METHODS;

BAYESIAN APPROACH; FORESTRY INVENTORY; SCENE ANALYSIS; STATISTICAL LEARNING; THREE DIMENSIONAL FITTING; THREE DIMENSIONAL SENSING;

IMAGE UNDERSTANDING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED;

EID: 33645137967     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2006.92     Document Type: Article

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