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dc.creatorMcMillan, Leonard
dc.creatorYu, Jingyi
dc.creatorGortler, Steven
dc.date2009-02-26T15:53:19Z
dc.date2004
dc.date.accessioned2012-06-07T22:45:13Z
dc.date.available2012-06-07T22:45:13Z
dc.date.issued2012-06-07
dc.identifierYu, Jingyi, Leonard McMillan, and Steven J. Gortler. 2004. Surface camera (SCAM) light field rendering. International Journal of Image and Graphics 4(4): 605-625.
dc.identifier0219-4678
dc.identifierhttp://nrs.harvard.edu/urn-3:HUL.InstRepos:2634385
dc.identifier.urihttps://repositorio.leon.uia.mx/xmlui/123456789/33400
dc.descriptionIn this article we present a new variant of the light field representation that supports improved image reconstruction by accommodating sparse correspondence information. This places our representation somewhere between a pure, two-plane parameterized, light field and a lumigraph representation, with its continuous geometric proxy. Our approach factors the rays of a light field into one of two separate classes. All rays consistent with a given correspondence are implicitly represented using a new auxiliary data structure, which we call a surface camera, or scam. The remaining rays of the light field are represented using a standard two-plane parameterized light field. We present an efficient rendering algorithm that combines ray samples from scams with those from the light field. The resulting image reconstructions are noticeably improved over that of a pure light field.
dc.descriptionEngineering and Applied Sciences
dc.languageen_US
dc.publisherWorld Scientific Publishing Company
dc.relationhttp://dx.doi.org/10.1142/S0219467804001567
dc.relationhttp://www.worldscinet.com/ijig/
dc.relationInternational Journal of Image and Graphics
dc.subjectlight field
dc.subjectscam
dc.subjectcorrespondence
dc.titleSurface camera (SCAM) Light Field Rendering


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