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Image Processing On Line
Article . 2018 . Peer-reviewed
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Image Processing On Line
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Improvements of the Inverse Compositional Algorithm for Parametric Motion Estimation

Authors: Briand, Thibaud; Facciolo, Gabriele; Sánchez, Javier;

Improvements of the Inverse Compositional Algorithm for Parametric Motion Estimation

Abstract

In this work, we propose several improvements of the inverse compositional algorithm for parametric registration. We propose an improved handling of boundary pixels, a different color handling and gradient estimation, and the possibility to skip scales in the multiscale coarse-to-fine scheme. In an experimental part, we analyze the influence of the modifications. The estimation accuracy is at least improved by a factor 1.3 while the computation time is at least reduced by a factor 2.2 for color images.The C++ source code, the code documentation, and the online demo are accessible at the web page of this article 1 . Compilation and usage instruction are included in the README.txt file of the archive.

0,305

ESCI

464

435

Q3

Related Organizations
Keywords

Inverse compositional algorithm, Parametric motion estimation, Boundary handling, 220990 Tratamiento digital. Imágenes, Gradient estimation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Top 10%
Average
gold