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		<identifier>8JMKD3MGPAW/3MAK52E</identifier>
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		<citationkey>FernandezAvilGonc:2016:3DSiEm</citationkey>
		<title>3DRT – Sistema Embarcado para Reconstrução 3D em Tempo Real</title>
		<format>On-line</format>
		<year>2016</year>
		<numberoffiles>1</numberoffiles>
		<size>531 KiB</size>
		<author>Fernandez, Luiz E. O.,</author>
		<author>Avila, Elizabeth V. C.,</author>
		<author>Goncalves, Luiz M. G.,</author>
		<affiliation>Universidade Federal do Rio Grande do Norte</affiliation>
		<affiliation>Universidade Federal do Rio Grande do Norte</affiliation>
		<affiliation>Universidade Federal do Rio Grande do Norte</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>lortiz@dca.ufrn.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>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Work in Progress</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>real-time vision, 3D  reconstruction, point cloud.</keywords>
		<abstract>We present current efforts towards the development of an embedded system for 3D reconstruction of a scene in real time. Algorithms for system calibration, rectification, and 3D reconstruction of a point cloud using the NVIDIA Jetson TK1 based on a stereo disparity map given by the Stereolabs ZED 3D camera are currently developed. They are implemented using the stereo camera SDK, in C++, and the FreeGLUT library. We have built a tool for visualization of the reconstructed data in a monitor and, as a partial contribution of this work, we have done an analysis to measure time processing for each step of the whole process to certify that the real-time requirement is met. Partial results indicate feasibility of a more complex, efficient system (with precision and real-time operation) thus allowing its use in robotics vision applications.</abstract>
		<language>pt</language>
		<targetfile>3D_RT (10).pdf</targetfile>
		<usergroup>lortiz@dca.ufrn.br</usergroup>
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		<citingitemlist>sid.inpe.br/sibgrapi/2016/07.02.23.50 5</citingitemlist>
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		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/sibgrapi/2016/08.22.13.41</url>
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