Classification-based probabilistic modeling of texture transition for fast line search tracking and delineation

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 31, Issue 3, 2009, Pages 570-576

  Shahrokni, Ali ^a   Drummond, Tom ^b   Fleuret, François ^c   Fua, Pascal ^d  

^a UNIVERSITY OF READING   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c IDIAP RESEARCH INSTITUTE   (Switzerland)

^d EPFL   (Switzerland)

Author keywords

Classification; Computer vision; Segmentation; Texture; Tracking

Indexed keywords

CLASSIFIERS; COMPUTER VISION; IMAGE PROCESSING; IMAGE SEGMENTATION; LEARNING SYSTEMS; THREE DIMENSIONAL;

BOUNDARY DETECTIONS; BOUNDARY ESTIMATES; CLASSIFICATION; DISCRIMINATIVE FEATURES; EXISTING METHODS; IMAGE INTENSITIES; INTERACTIVE APPLICATIONS; LINE SEARCHES; NATURAL IMAGES; PROBABILISTIC MODELING; PROBABILISTIC MODELS; ROBUST ESTIMATORS; SEARCH REGIONS; SEGMENTATION; TEXTURE; TEXTURE BOUNDARIES; TEXTURE BOUNDARY DETECTIONS; TEXTURE STRUCTURES; TEXTURE TRANSITIONS; TEXTURED OBJECTS; TRACKING; WEAK LEARNERS;

TEXTURES;

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

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 59549092423     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2008.236     Document Type: Article

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