Affine invariant pattern recognition using multiscale autoconvolution

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 27, Issue 6, 2005, Pages 908-918

  Rahtu, Esa ^a   Salo, Mikko ^b   Heikkilä, Janne ^a  

^a UNIVERSITY OF OULU   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

Author keywords

Affine invariance; Affine invariant features; Image transforms; Object recognition; Pattern classification; Target identification

Indexed keywords

COMPUTATIONAL COMPLEXITY; CONVOLUTION; FAST FOURIER TRANSFORMS; INVARIANCE; OBJECT RECOGNITION; PROBABILITY;

AFFINE INVARIANCE; AFFINE INVARIANT FEATURES; IMAGE TRANSFORMS; TARGET IDENTIFICATION;

PATTERN RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; STATISTICAL MODEL; STATISTICS; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; STATISTICS;

EID: 21244472019     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2005.111     Document Type: Article

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