Recovering Intrinsic Images from a Single Image

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6703

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DC Field	Value	Language
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	-
Appears in Collections:	MIT Items

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