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		<doi>10.1109/SIBGRAPI.2016.025</doi>
		<citationkey>BíscaroOlivBergNune:2016:NeDeRe</citationkey>
		<title>A new  descriptor for retrieving 3D objects applied in Congestive Heart Failure diagnosis</title>
		<format>On-line</format>
		<year>2016</year>
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		<author>Bíscaro, Helton H,</author>
		<author>Oliveira, Hellyan,</author>
		<author>Bergamasco, Leila C C,</author>
		<author>Nunes, Fátima L S,</author>
		<affiliation>Escola de Artes, Ciências e Humanidades, Universidade de São Paulo</affiliation>
		<affiliation>Escola de Artes, Ciências e Humanidades, Universidade de São Paulo</affiliation>
		<affiliation>Escola de Artes, Ciências e Humanidades, Universidade de São Paulo</affiliation>
		<affiliation>Escola de Artes, Ciências e Humanidades, Universidade de São Paulo</affiliation>
		<editor>Aliaga, Daniel G.,</editor>
		<editor>Davis, Larry S.,</editor>
		<editor>Farias, Ricardo C.,</editor>
		<editor>Fernandes, Leandro A. F.,</editor>
		<editor>Gibson, Stuart J.,</editor>
		<editor>Giraldi, Gilson A.,</editor>
		<editor>Gois, João Paulo,</editor>
		<editor>Maciel, Anderson,</editor>
		<editor>Menotti, David,</editor>
		<editor>Miranda, Paulo A. V.,</editor>
		<editor>Musse, Soraia,</editor>
		<editor>Namikawa, Laercio,</editor>
		<editor>Pamplona, Mauricio,</editor>
		<editor>Papa, João Paulo,</editor>
		<editor>Santos, Jefersson dos,</editor>
		<editor>Schwartz, William Robson,</editor>
		<editor>Thomaz, Carlos E.,</editor>
		<e-mailaddress>fatima.nunes@usp.br</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 29 (SIBGRAPI)</conferencename>
		<conferencelocation>São José dos Campos, SP, Brazil</conferencelocation>
		<date>4-7 Oct. 2016</date>
		<publisher>IEEE Computer Society´s Conference Publishing Services</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>Content-Based Image Retrieval (CBIR), Spectral Descriptor, Three-dimensional Objects, Congestive Heart Failure.</keywords>
		<abstract>Content-Based Image Retrieval (CBIR) aims to retrieve similar graphical objects from large databases based on their contents. CBIR requires definition of descriptors, algorithms that condense information from the object in order to represent it usually as a real number or a vector in Rn.  This article presents the Spectral Descriptor, a new descriptor  designed for retrieving three-dimensional geometric objects applied to aid the diagnosis of Congestive Heart Failure (CHF). Our descriptor is based on techniques of compressive sensing and rewrites the coordinates of 3D objects vertices on a basis on which they have a sparse representation. Tests with surfaces reconstructed from heart MRI images, specifically from left ventricle, show that the descriptor has presented a good performance, reaching an average precision of approximately 85% for CHF and 71% for non-CHF cases, maintaining high levels of precision. Results also showed that the Spectral Descriptor can decrease the high dimensionality of features vectors in CBIR systems.</abstract>
		<language>en</language>
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		<usergroup>fatima.nunes@usp.br</usergroup>
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