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		<site>sibgrapi.sid.inpe.br 802</site>
		<citationkey>CamposFeriCesa:2000:ImFaTi</citationkey>
		<author>Campos, Teófilo Emídio de,</author>
		<author>Feris, Rogério Schimidt,</author>
		<author>Cesar Junior, Roberto Marcondes,</author>
		<title>Improved face/spl times/non-face discrimination using fourier descriptors through feature  selection</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)</conferencename>
		<year>2000</year>
		<editor>Carvalho, Paulo Cezar Pinto,</editor>
		<editor>Walter, Marcelo,</editor>
		<date>October</date>
		<publisheraddress>Los Alamitos</publisheraddress>
		<publisher>IEEE Computer Society</publisher>
		<conferencelocation>Gramado, RS, Brazil</conferencelocation>
		<keywords>face recognition, face discrimination, Fourier descriptors, feature selection, horizontal edge detection filter, 1D signal extraction, image classification, statistical classifiers, performance assessment, transform based methods, face detection.</keywords>
		<abstract>This work presents a new method to discriminate face from non-face images using Fourier descriptors. The first step of our approach consists in applying a horizontal edge detection filter in the input image, followed by the extraction of a 1D signal from the computed edge map. Then we calculate the Fourier descriptors from this signal and classify the image using statistical classifiers. In order to improve our results, we applied a feature selection algorithm. Preliminary performance assessment results have shown that this approach is superior than traditional transform based methods. Besides, these results showed that our method might be used to develop a fast face detection system.</abstract>
		<pages>28-35</pages>
		<notes>The conference was held in Gramado, RS, Brazil, from October 17 to 20.</notes>
		<organization>SBC - Brazilian Computer Society</organization>
		<tertiarytype>Full Paper</tertiarytype>
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		<targetfile>28-35.pdf</targetfile>
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