A comparative approach to image registration methods

A computational vision approach to image registration

A computational vision approach is presented for the estimation of 2-D translation, rotation, and scale from two partially overlapping images. The approach results in a fast method that produces good results even when large rotation and translation have occurred between the two frames and the images are devoid of significant features. An illuminant direction estimation method is first used to o...

Image registration methods: a survey

This paper aims to present a review of recent as well as classic image registration methods. Image registration is the process of overlaying images (two or more) of the same scene taken at different times, from different viewpoints, and/or by different sensors. The registration geometrically align two images (the reference and sensed images). The reviewed approaches are classified according to ...

Likelihood maximization approach to image registration

A likelihood maximization approach to image registration is developed in this paper. It is assumed that the voxel values in two images in registration are probabilistically related. The principle of maximum likelihood is then exploited to find the optimal registration: the likelihood that given image f, one has image g and given image g, one has image f is optimized with respect to registration...

An Eigenspace Approach to Multiple Image Registration

Multiple images can be indexed by their projections on a few \eigenfeatures". These eigenfeatures are the eigenvectors of a large covariance matrix, constructed from the images. It is known that registration is essential for computing \useful" eigenfeatures, and a preliminary step of putting the images in register is common practice. We propose to evaluate multiple image registration by the qua...

Survey of image registration methods