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

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

2020-03-23 | |  73 |   43 |   0

Abstract

In this paper we compare difierent ways of representing the photometric changes in image intensities caused by changes in illumina- tion and viewpoint, aiming at a balance between goodness-of-fit and low complexity. We derive invariant features based on generalized color mo- ment 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.

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