Joint Affine and Illumination Estimation Using Scale Manipulation Features

Authors:
Kobi Bentolila;Joseph M. Francos
Affiliations:
Electrical and Computer Engineering Department, Ben-Gurion University, Beer Sheva, Israel 84105;Electrical and Computer Engineering Department, Ben-Gurion University, Beer Sheva, Israel 84105
Venue:
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Year:
2009

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Abstract

We present a novel image transform called Scale Manipulation Features (SMF). The transform calculates affine invariant features of objects in a global manner and avoids using any sort of edge detection. The transform can be used for registration of affine transformed images in the presence of non homogenous illumination changes and for estimation of the illumination changes. The computational load of the method is relatively low since it is linear in the data size. In this paper we introduce the transform and demonstrate its applications for illumination compensation and for object registration in the presence of an affine geometric transformation and varying illumination.