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...
Main Author: | |
---|---|
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/ |
id |
doaj-454b971fa8a34a56bb4a8e4f2c8bdd0d |
---|---|
record_format |
Article |
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/ |
work_keys_str_mv |
AT javiersanchez theinversecompositionalalgorithmforparametricregistration AT javiersanchez inversecompositionalalgorithmforparametricregistration |
_version_ |
1725961868759007232 |