The Inverse Compositional Algorithm for Parametric Registration

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, similarit...

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Main Author: Javier Sánchez
Format: Article
Language:English
Published: Image Processing On Line 2016-11-01
Series:Image Processing On Line
Online Access:http://www.ipol.im/pub/art/2016/153/
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spelling doaj-454b971fa8a34a56bb4a8e4f2c8bdd0d2020-11-24T21:30:46ZengImage Processing On LineImage Processing On Line2105-12322016-11-01621223210.5201/ipol.2016.153The Inverse Compositional Algorithm for Parametric RegistrationJavier SánchezWe 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.http://www.ipol.im/pub/art/2016/153/
collection DOAJ
language English
format Article
sources DOAJ
author Javier Sánchez
spellingShingle Javier Sánchez
The Inverse Compositional Algorithm for Parametric Registration
Image Processing On Line
author_facet Javier Sánchez
author_sort Javier Sánchez
title The Inverse Compositional Algorithm for Parametric Registration
title_short The Inverse Compositional Algorithm for Parametric Registration
title_full The Inverse Compositional Algorithm for Parametric Registration
title_fullStr The Inverse Compositional Algorithm for Parametric Registration
title_full_unstemmed The Inverse Compositional Algorithm for Parametric Registration
title_sort inverse compositional algorithm for parametric registration
publisher Image Processing On Line
series Image Processing On Line
issn 2105-1232
publishDate 2016-11-01
description 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.
url http://www.ipol.im/pub/art/2016/153/
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