A Robust Pixel ECC based Algorithm for Occluded Image Alignment

Nefeli Lamprinou, Emmanouil Z. Psarakis

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.

References

  1. A.B. Ashraf, S. L. and Chen, T. (2010). Fast image alignment in the fourier domain. Proceedings of CVPR, pages 2480-2487.
  2. A.S. Georghiades, P. B. and Kriegman, D. (2001). From few to many: Illumination cone models for face recognition under variable lighting and pose.
  3. Baker, S. and Matthews, I. (2004). Lucas-kanade 20 years on: A unifying framework. International Journal in Computer Vision, 56, no. 3:221 255.
  4. Evangelidis, G. and Psarakis, E. (2008). Parametric image alignment using enhanced correlation coefficient maximization. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1858-1865.
  5. F. Yang, J. H. and Metaxas, D. (2011). Sparse shape registration for occluded facial feature localization. IEEE Conference on Automatic Face and Gesture Recognition.
  6. Fuh, C. and Maragos, P. (1991). Motion displacement estimation using an affine model for image matching. Optical Eng., 30, no. 7:881 887.
  7. G. Tzimiropoulos, S. Z. and Pantic, M. (2011). Robust and efficient parametric face alignment. IEEE International Conference on Computer Vision (ICCV).
  8. G. Yang, Y. F. and Lu, H. (2015). Sparse error via reweighted low rank representation for face recognition with various illumination and oclusion. International Journal for light and electron optics.
  9. G.Tzimiropoulos, V.Argyriou, S. a. T. (2010). Robust fftbased scale-invariant image registration with image gradients. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1899-1906.
  10. Lucas, B. and Kanade, T. (1981). An iterative image registration technique with an application to stereo vision. Proc. Seventh Intl Joint Conf. Artificial Intelligence .
  11. Martinez, A. and Benavente, R. (1998). The Book. CVC Technical Report 24.
  12. S. Lucey, R. Navarathna, A. B. A. and Sridharan, S. (2012). Fourier lucas-kanade algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 6, no. 1.
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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