A Robust Pixel ECC based Algorithm for Occluded Image Alignment

Nefeli Lamprinou, Emmanouil Z. Psarakis

2016

Abstract

The alignment of occluded images constitutes a common and difficult problem. In this paper we propose a new method based on ECC algorithm tailored to occluded image alignment problem which enjoy a simple closed-form solution with low computational cost. Moreover, the use of a proper subset of the region of interest that limits the impact of the outliers in the estimation of the parameters is proposed. The use of this set seems to make the proposed method insensitive to the use of the occluded image as template or as warped in the alignment process. The proposed method is compared against two well known Gradient Corellation based methods by its application in several image alignment problems and in all cases outperforms its rivals in terms of accuracy and percentage of convergence.

Paper Citation

in Harvard Style

Lamprinou N. and Psarakis E. (2016). A Robust Pixel ECC based Algorithm for Occluded Image Alignment . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 279-284. DOI: 10.5220/0005788202790284

in Bibtex Style

@conference{visapp16,
author={Nefeli Lamprinou and Emmanouil Z. Psarakis},
title={A Robust Pixel ECC based Algorithm for Occluded Image Alignment},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={279-284},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005788202790284},
isbn={978-989-758-175-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)
TI - A Robust Pixel ECC based Algorithm for Occluded Image Alignment
SN - 978-989-758-175-5
AU - Lamprinou N.
AU - Psarakis E.
PY - 2016
SP - 279
EP - 284
DO - 10.5220/0005788202790284