Recovering Intrinsic Images from a Single Image

dc.creator	Tappen, Marshall F.
dc.creator	Freeman, William T.
dc.creator	Adelson, Edward H.
dc.date	2004-10-08T20:38:21Z
dc.date	2004-10-08T20:38:21Z
dc.date	2002-09-01
dc.date.accessioned	2013-10-09T02:46:30Z
dc.date.available	2013-10-09T02:46:30Z
dc.date.issued	2013-10-09
dc.identifier	AIM-2002-015
dc.identifier	http://hdl.handle.net/1721.1/6703
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	We present an algorithm that uses multiple cues to recover shading and reflectance intrinsic images from a single image. Using both color information and a classifier trained to recognize gray-scale patterns, each image derivative is classified as being caused by shading or a change in the surface's reflectance. Generalized Belief Propagation is then used to propagate information from areas where the correct classification is clear to areas where it is ambiguous. We also show results on real images.
dc.format	12 p.
dc.format	1591784 bytes
dc.format	1186163 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-2002-015
dc.subject	AI
dc.subject	intrinisic images
dc.subject	reflectance estimation
dc.title	Recovering Intrinsic Images from a Single Image

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