TY - GEN
T1 - Implicit similarity: a new approach to multi-sensor image registration
AU - Keller, Y.
AU - Averbuch, Amir
N1 - Place of conference:USA
PY - 2003
Y1 - 2003
N2 - 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.
AB - 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.
UR - https://scholar.google.co.il/scholar?q=Implicit+similarity%3A+a+new+approach+to+multi-sensor+image+registration&btnG=&hl=en&as_sdt=0%2C5
M3 - Conference contribution
BT - Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on
PB - IEEE
ER -