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dc.contributor.authorBala, E.en_US
dc.contributor.authorCetin, A. E.en_US
dc.date.accessioned2016-02-08T11:54:29Z
dc.date.available2016-02-08T11:54:29Z
dc.date.issued2003en_US
dc.identifier.urihttp://hdl.handle.net/11693/27477
dc.description.abstractIn this paper, an affine invariant function is presented for object recognition from wavelet coefficients of the object boundary. In previous works, undecimated wavelet transform was used for affine invariant functions. In this paper, an algorithm based on decimated wavelet transform is developed to compute the affine invariant function. As a result, computational complexity is significantly reduced without decreasing recognition performance. Experimental results are presented.en_US
dc.language.isoEnglishen_US
dc.source.titleIEEE International Conference on Image Processingen_US
dc.subjectDyadic wavelet transform (DWT)en_US
dc.subjectWavelet affine invariant functionsen_US
dc.subjectAlgorithmsen_US
dc.subjectComputational complexityen_US
dc.subjectComputer visionen_US
dc.subjectFunctionsen_US
dc.subjectWavelet transformsen_US
dc.subjectObject recognitionen_US
dc.titleComputationally efficient wavelet affine invariant functions for 2D object recognitionen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage1061en_US
dc.citation.epage1064en_US
dc.citation.volumeNumber1en_US
dc.publisherIEEEen_US


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