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		<citationkey>PiresCesaVieiVelh:2005:TrMaCo</citationkey>
		<author>Pires, David da Silva,</author>
		<author>Cesar-Jr, Roberto Marcondes,</author>
		<author>Vieira, Marcelo Bernardes,</author>
		<author>Velho, Luiz,</author>
		<affiliation>Instituto de Matemática e Estatística da Universidade de São Paulo (IME-USP)</affiliation>
		<affiliation>Instituto Nacional de Matemática Pura e Aplicada (IMPA)</affiliation>
		<title>Tracking and matching connected components from 3D video</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)</conferencename>
		<year>2005</year>
		<editor>Rodrigues, Maria Andréia Formico,</editor>
		<editor>Frery, Alejandro César,</editor>
		<booktitle>Proceedings</booktitle>
		<date>9-12 Oct. 2005</date>
		<publisheraddress>Los Alamitos</publisheraddress>
		<publisher>IEEE Computer Society</publisher>
		<conferencelocation>Natal</conferencelocation>
		<keywords>tracking connected components, matching connected components, 3D video, 4D video, 3D imaging, range image.</keywords>
		<abstract>This work presents a method for the detection, tracking and spatial matching of connected components in a 3D video stream. The video image information is combined with 3D sites in order to align pieces of surfaces that are seen in subsequent frames. This is a key step in 3D video analysis for enabling several applications such as compression, geometric integration and scene reconstruction, to name a few. Our approach is to detect salient features in both image and world spaces for further alignment of texture and geometry. We use a projector-camera system to obtain high quality texture and geometry at 30 fps. Successful experimental results corroborating our method are shown. .</abstract>
		<language>en</language>
		<tertiarytype>Full Paper</tertiarytype>
		<format>On-line</format>
		<size>402 KiB</size>
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		<targetfile>piresd_tracking.pdf</targetfile>
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