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		<doi>10.1109/SIBGRA.2004.1352960</doi>
		<citationkey>TorreãoFern:2004:PhShSh</citationkey>
		<title>From photometric-motion to shape from shading</title>
		<format>On-line</format>
		<year>2004</year>
		<numberoffiles>1</numberoffiles>
		<size>235 KiB</size>
		<author>Torreão, José Ricardo de Almeida,</author>
		<author>Fernandes, João Luiz,</author>
		<affiliation>Universidade Federal Fluminense</affiliation>
		<affiliation>Pontifícia Universidade Católica do Paraná</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>jrat@ic.uff.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>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>computer vision, shape estimation, Green's function.</keywords>
		<abstract>A new approach to shape estimation from shading input has been recently introduced through the processes of disparity-based photometric stereo (DBPS) and Green's function shape from shading (GSFS). Both processes start from a pair of constraints - a matching constraint and a photometric constraint - to arrive at a closed-form expression for the depth function of the imaged surface. In DBPS, the matching equation is solved for the disparity map, given a pair of photometric stereo images, while in GSFS, which extends the previous approach to single-input reconstruction, that equation is solved for the matching image, via Green's function. Adopting a similar framework, we have recently used photometric and matching constraints for deriving a new approach to the photometric-motion shape estimation problem. Here we show how we can extend that process to the single-input case, via Green's function. This yields high quality shape-from-shading estimates, even from real input obtained under complex illumination.</abstract>
		<language>en</language>
		<targetfile>Torreao_Fernandes.pdf</targetfile>
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