Comparing Intensity Transformations and Their Invariants in the Context of Color Pattern Recognition

Authors:
Florica Mindru;Theo Moons;Luc J. Van Gool
Affiliations:
-;-;-
Venue:
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Year:
2002

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Abstract

In this paper we compare different ways of representing the photometric changes in image intensities caused by changes in illumination and viewpoint, aiming at a balance between goodness-of-fit and low complexity. We derive invariant features based on generalized color moment invariants - that can deal with geometric and photometric changes of a planar pattern - corresponding to the chosen photometric models. The geometric changes correspond to a perspective skew. We compare the photometric models also in terms of the invariants' discriminative power and classification performance in a pattern recognition system.