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Discriminative filtering with principal component analysis and adaptive alignment
DOS SANTOS, KENNY V.; WALDIR, S. S.; SILVA, LUIZ E. S. E; FARIAS, FELIPE S.; DE MELO, WHEIDIMA CARNEIRO; DE LIMA FILHO, EDDIE BATISTA
Resumo
Resumo
Discriminative filtering is a pattern recognition technique which seeks to maximize the energy of output signal when a pattern is found. To improve the robustness, was incorporated the principal component analysis in discriminative filters design. In this work, we proposed a new technique for design of the discriminative filters, called adaptive alignment. To evaluation, we used a facial fiducial points detection system with BioID database.
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palavras-chave
Palavras-chave
principal component analysisadaptive alignmentface recognitionrobustness
Status
Published
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