Color space analysis of mutual illumination
Funt, B.V.
Drew, M.S.
Sch. of Comput. Sci., Simon Fraser Univ., Vancouver, BC;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Dec 1993
Volume: 15,
Issue: 12
On page(s): 1319-1326
ISSN: 0162-8828
References Cited: 28
CODEN: ITPIDJ
INSPEC Accession Number: 4609829
Digital Object Identifier: 10.1109/34.250838
Current Version Published: 2002-08-06
Abstract
Mutual illumination occurs when light reflected from one surface
impinges on a second one. The resulting additional illumination incident
on the second surface affects both the color and intensity of the light
reflected from it. As a consequence, the image of a surface in the
presence of mutual illumination differs from what it otherwise would
have been in the absence of mutual illumination. Unaccounted for mutual
illumination can easily confuse methods that rely on intensity or color
such as shape-from-shading or color-based object recognition. In this
correspondence, we introduce an algorithm that removes mutual
illumination effects from images. The domain is that of
previously-segmented images of convex surfaces of uniform color and
diffuse reflectance where for each surface the interreflection occurs
mainly from one other surface and can be accurately accounted for within
a one-bounce model. The algorithm is based on a singular value
decomposition of the colors coming from each surface. Geometrical
information about where on the surface the colors emanate from is not
required. The RGB triples from a single convex surface experiencing
interreflection fall in a plane; intersecting the planes generated from
two interreflecting surfaces results in a unique interreflection color.
Each pixel can then be factored into its interreflection and
no-interreflection components so that a complete no-interreflection
image is produced
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