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		<lastupdate>2015:08.02.19.06.44 sid.inpe.br/banon/2001/03.30.15.38 bernardohenz@gmail.com</lastupdate>
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		<citationkey>HenzOliv:2015:ImReUs</citationkey>
		<title>Image Relighting Using Shading Proxies</title>
		<format>On-line</format>
		<year>2015</year>
		<secondarytype>Master's Work</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>956 KiB</size>
		<author>Henz, Bernardo,</author>
		<author>Oliveira, Manuel M.,</author>
		<affiliation>UFRGS</affiliation>
		<affiliation>UFRGS</affiliation>
		<editor>Segundo, Maurício Pamplona,</editor>
		<editor>Faria, Fabio Augusto,</editor>
		<e-mailaddress>bernardohenz@gmail.com</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 28 (SIBGRAPI)</conferencename>
		<conferencelocation>Salvador</conferencelocation>
		<date>Aug. 26-29, 2015</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Master's or Doctoral Work</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>image relighting, painting relighting, normal-map estimation, shading transferring.</keywords>
		<abstract>We present a practical solution to the problem of single-image relighting of objects with arbitrary shapes. It is based on a shading-ratio image obtained from some user-provided guess of the original and target illuminations. Our approach is flexible and robust, being applicable to objects with non-uniform albedos and arbitrary shapes, as well as to non-photorrealistic depictions. We demonstrate its effectiveness by relighting many photographs, paintings, and drawings containing a variety of objects of different materials. Additionally, our technique can transfer smooth normal and depth maps from 3-D models to pictures. Preliminary evaluation has shown that our approach is intuitive, allowing novice users to relight images in just a couple of minutes.</abstract>
		<language>en</language>
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