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Implicit similarity: a new approach to multi-sensor image registration | IEEE Conference Publication | IEEE Xplore

Implicit similarity: a new approach to multi-sensor image registration


Abstract:

This paper presents an implicit similarity-based approach to registration of significantly dissimilar images, acquired by sensors at different modalities. The proposed al...Show More

Abstract:

This paper presents an implicit similarity-based approach to registration of significantly dissimilar images, acquired by sensors at different modalities. The proposed algorithm introduces a robust matching criterion by aligning the locations of gradient maxima. The alignment is formulated as a parametric variational optimization problem, which is solved iteratively by considering the intensities of a single image. The location of the maxima of the second image's gradient are used as initialization. We are able to robustly estimate affine and projective global motions using 'coarse to fine' processing, even when the images are characterized by complex space varying intensity transformations. Finally, we present the registration of real images, which were taken by multi-sensor and multi-modality using affine and projective motion models.
Date of Conference: 18-20 June 2003
Date Added to IEEE Xplore: 15 July 2003
Print ISBN:0-7695-1900-8
Print ISSN: 1063-6919
Conference Location: Madison, WI, USA

References

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