A coarse-to-fine strategy for multiclass shape detection

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 26, Issue 12, 2004, Pages 1606-1621

  Amit, Yali ^a   Geman, Donald ^b   Fan, Xiaodong ^b  

^a UNIVERSITY OF CHICAGO   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Coarse to fine search; Multiple classes; Online competition; Shape detection; Spread edges; Statistical model

Indexed keywords

APPROXIMATION THEORY; DATA ACQUISITION; FEATURE EXTRACTION; IMAGE ANALYSIS; INFORMATION THEORY; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; OBJECT RECOGNITION; STATISTICAL TESTS;

COARSE-TO-FINE SEARCH; LIKELIHOOD RATIO TESTS; MULTICLASS SHAPE DETECTION; ONLINE COMPETITION; SPREAD EDGES; STATISTICAL MODEL;

EDGE DETECTION;

EID: 9244225668     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2004.111     Document Type: Article

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