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Image registration under local illumination variations using robust bisquare M-estimation

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3 Author(s)
Fouad, Mohamed M. ; Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada ; Dansereau, R.M. ; Whitehead, A.D.

In this paper, we present a registration approach for images having arbitrarily-shaped locally variant illuminations. These variations tend to degrade the performance of geometric registration precision (GRP) and impact subsequent processing. Traditional registration approaches typically use a least-squares estimator that is sensitive to outliers. Instead, we propose using a robust bisquare M-estimator, as it differently penalizes the small and large residuals. The proposed approach shows clear improvements over competing approaches in terms of GRP and illumination correction, using simulated and real image pairs.

Published in:

Image Processing (ICIP), 2010 17th IEEE International Conference on

Date of Conference:

26-29 Sept. 2010