[IPOL announce] new article: The Inverse Compositional Algorithm for Parametric Registration

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2016/153/

Javier Sánchez,
The Inverse Compositional Algorithm for Parametric Registration,
Image Processing On Line, 6 (2016), pp. 212–232.
https://doi.org/10.5201/ipol.2016.153

Abstract
We present an implementation of the inverse compositional algorithm for 
parametric motion estimation. It computes a global motion between two 
images using a non-linear least square technique. Our implementation 
allows computing several types of planar transformations, such as 
translations, similarities, affinities or homographies. The algorithm is 
iterative so it typically yields solutions with high accuracy. The use 
of robust error functions, different from the L2 norm, improves the 
stability of the method under the presence of noise and occlusions, and 
allows it to detect the predominant motion, even if there are several 
types of displacements. The method works with multi-channel images and 
makes use of a coarse–to–fine strategy for dealing with large displacements.