Color in perspective
Finlayson, G.D.
Dept. of Comput. Sci., York Univ.;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Oct 1996
Volume: 18,
Issue: 10
On page(s): 1034-1038
ISSN: 0162-8828
References Cited: 13
CODEN: ITPIDJ
INSPEC Accession Number: 5421340
Digital Object Identifier: 10.1109/34.541413
Current Version Published: 2002-08-06
Abstract
Simple constraints on the sets of possible surface reflectance and
illuminants are exploited in a new color constancy algorithm that builds
upon Forsyth's (1990) theory of color constancy. Forsyth's method
invokes the constraint that the surface colors under a canonical
illuminant all fall within an established maximal convex gamut of
possible colors. However, the method works only when restrictive
conditions are imposed on the world: the illumination must be uniform,
the surfaces must be planar, and there can be no specularities. To
overcome these restrictions, we modify Forsyth's algorithm so that it
works with the colors under a perspective projection (in a chromaticity
space). The new algorithm working in perspective is simpler than
Forsyth's method and more importantly the restrictions on the
illuminant, surface shape and specularities can be relaxed. The
algorithm is then extended to include a maximal gamut constraint on a
set of illuminants that is analogous to the gamut constraint on surface
colors. Tests on real images show that the algorithm provides good color
constancy
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