Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52763
Title: The inverse compositional algorithm for parametric registration
Authors: Sanchez, Javier 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
Keywords: Inverse compositional algorithm
Motion estimation
Parametric motion
Homogra- phy
Rigid transformation
Non-linear least square
Robust error function
Issue Date: 2016
Publisher: 2105-1232
Journal: Image Processing On Line 
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.
URI: http://hdl.handle.net/10553/52763
ISSN: 2105-1232
DOI: 10.5201/ipol.2016.153
Source: Image Processing On Line[ISSN 2105-1232],v. 6, p. 212-232
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