IMAGE REGISTRATION USING MULTI-SCALE TEXTURE MOMENTS
Jun Sato and Roberto Cipolla
October 1994
In this paper we propose a novel, efficient and geometrically intuitive method to compute the four components of an affine transformation from the change in simple statistics of images of texture. In particular, we show how the changes in second circular moments of edge orientation are directly related to the rotation (curl), scale (divergence) and deformation components of an affine transformation, and how these components can be computed from multi-scale texture moments. A simple implementation is described which does not require point, edge or contour correspondences to be established. It is tested on repetitive and non-repetitive visual textures which are neither isotropic nor homogeneous. The theoretical accuracy and the noise sensitivity of this method are compared with other linear moment and circular moment methods.
If you have difficulty viewing files that end '.gz'
,
which are gzip compressed, then you may be able to find
tools to uncompress them at the gzip
web site.
If you have difficulty viewing files that are in PostScript, (ending
'.ps'
or '.ps.gz'
), then you may be able to
find tools to view them at
the gsview
web site.
We have attempted to provide automatically generated PDF copies of documents for which only PostScript versions have previously been available. These are clearly marked in the database - due to the nature of the automatic conversion process, they are likely to be badly aliased when viewed at default resolution on screen by acroread.