Object classification with multi-scale autoconvolution

Proceedings - International Conference on Pattern Recognition

Volumn 3, Issue , 2004, Pages 37-40

  Rahtu, Esa ^a   Heikkilä, Janne ^a  

^a UNIVERSITY OF OULU   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; COMPUTER VISION; CONSTRAINT THEORY; CORRELATION METHODS; DATABASE SYSTEMS; EIGENVALUES AND EIGENFUNCTIONS; ERRORS; FOURIER TRANSFORMS; INTEGRAL EQUATIONS; POLYNOMIALS; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY DENSITY FUNCTION; RANDOM PROCESSES;

MULTI-SCALE AUTOCONVOLUTION (MSA); NOISE LEVELS; QUANTIZATION ERRORS; RANDOM VARIABLES;

OBJECT RECOGNITION;

EID: 10044234848     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2004.1334463     Document Type: Conference Paper

References (7)

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3. N. Cristianini and J. Shawe-Taylor. An Introduction to Support Vector Machines. Cambridge University Press, The Edinburgh building, Cambridge CB2 2RU, UK, 2000.
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6. S. R. Gunn. Support vector machines for classification and regression. Technical Report, Image Speech and Intelligent Systems Research Group, 1997.
7. J. Heikkilä. Multi-scale autoconvolution for affine invariant pattern recognition. 16th Int'l Conf. on Pattern Recognition, 1:119-122, January 2002.