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		<doi>10.1109/SIBGRA.2004.1352958</doi>
		<citationkey>QueirozNetoCarcBarrCamp:2004:UnSt</citationkey>
		<title>Underwater Stereo</title>
		<format>On-line</format>
		<year>2004</year>
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		<author>Queiroz Neto, José Pinheiro de,</author>
		<author>Carceroni, Rodrigo Lima,</author>
		<author>Barros, Wagner Ferreira de,</author>
		<author>Campos, Mário Fernando Montenegro,</author>
		<affiliation>Centro Federal de Educação Tecnológica do Amazonas - CEFET/AM</affiliation>
		<affiliation>Universidade Federal de Minas Gerais - UFMG</affiliation>
		<editor>Araújo, Arnaldo de Albuquerque,</editor>
		<editor>Comba, João Luiz Dihl,</editor>
		<editor>Navazo, Isabel,</editor>
		<editor>Sousa, Antônio Augusto de,</editor>
		<e-mailaddress>jpq@dcc.ufmg.br</e-mailaddress>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 17 (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 (SIACG)</conferencename>
		<conferencelocation>Curitiba, PR, Brazil</conferencelocation>
		<date>17-20 Oct. 2004</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
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		<keywords>underwater image, stereopsis.</keywords>
		<abstract>Images of underwater scenes suffer from poor contrast. The resulting decay in contrast varies across the scene and is exponential in the depths of scene points, which prevents standard computer vision algorithms from operating properly. In this paper we show how to overcome this problem by adapting an existing model of light propagation in the (foggy) atmosphere to describe the behavior of light in liquid media, and then integrating the resulting model within a dense stereo algorithm, in order to recover depth maps of scenes immersed in water, from pairs of images acquired from distinct viewpoints. Experiments performed with the resulting technique on real underwater images show that the use of the physically-based light-propagation model allows one to reconstruct underwater scenes more accurately than with standard stereo algorithms alone.</abstract>
		<language>en</language>
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