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		<metadatarepository>sid.inpe.br/banon/2002/11.05.10.16.20</metadatarepository>
		<site>sibgrapi.sid.inpe.br 802</site>
		<citationkey>SilvaSimoBhar:2000:MuCoSt</citationkey>
		<author>Silva, JosÚ Demisio Sim§es,</author>
		<author>Simoni, Paulo Ouvera,</author>
		<author>Bharadwaj, Kamal Kant,</author>
		<title>Multiple correspondences in stereo vision under a genetic algorithm approach</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>stereo image processing, stereo vision multiple correspondences, genetic algorithm, multiple point hierarchical approach, computer vision, low-level processing, area-and-token hybrid method, search, experimental results.</keywords>
		<abstract>This paper presents a multiple point hierarchical approach to the stereo correspondence problem in computer vision. The low-level processing employs an area-and-token hybrid method to obtain, for distinctive points in one image, a set of points in the other image that are candidates for correspondence. The refinement of the set of low-level correspondences obtained is performed by a high-level N-point simultaneous correspondence process, a new constraint introduced for this problem. The high-level processing uses a genetic algorithm approach for searching the solution space. Experimental results show the effectiveness of the method on real world scenes.</abstract>
		<pages>52-59</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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