GROUPWISE NON-RIGID IMAGE ALIGNMENT - Results of a Multiscale Iterative Best Edge Algorithm

Bernard Tiddeman; David Hunter

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Paper

GROUPWISE NON-RIGID IMAGE ALIGNMENT - Results of a Multiscale Iterative Best Edge Algorithm

Topics: Image Registration; Segmentation and Grouping

In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 0VISIGRAPP, 22-29, 2011 , Vilamoura, Algarve, Portugal

Authors: Bernard Tiddeman ¹ and David Hunter ²

Affiliations: ¹ Aberystwyth University, United Kingdom ; ² University of St Andrews, United Kingdom

Keyword(s): Groupwise image alignment, Congealing, Active appearance models.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Registration ; Segmentation and Grouping

Abstract: In this paper we present an algorithm for groupwise image alignment using an iterative best edge point algorithm. Neighbouring image edge points are matched for similarity in a two directional fashion. The matches found are used to drive a regularised warp of the images into alignment. The algorithm works from low to high resolution, with the matches calculated across the set first at low resolution and towards progressively finer scales. The regularisation decreases across iterations, and the search area remains constant, so covers larger effective area in the low resolution images. We also extend the method to 3D surfaces by combining the 2D image search with a 3D ICP algorithm. The results show that this gives a very efficient algorithm that can align many different sets of 2D images and 3D surfaces.

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Paper citation in several formats:

Tiddeman, B. and Hunter, D. (2011). GROUPWISE NON-RIGID IMAGE ALIGNMENT - Results of a Multiscale Iterative Best Edge Algorithm. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP; ISBN 978-989-8425-47-8; ISSN 2184-4321, SciTePress, pages 22-29. DOI: 10.5220/0003326800220029

@conference{visapp11,
author={Bernard Tiddeman. and David Hunter.},
title={GROUPWISE NON-RIGID IMAGE ALIGNMENT - Results of a Multiscale Iterative Best Edge Algorithm},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP},
year={2011},
pages={22-29},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003326800220029},
isbn={978-989-8425-47-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP
TI - GROUPWISE NON-RIGID IMAGE ALIGNMENT - Results of a Multiscale Iterative Best Edge Algorithm
SN - 978-989-8425-47-8
IS - 2184-4321
AU - Tiddeman, B.
AU - Hunter, D.
PY - 2011
SP - 22
EP - 29
DO - 10.5220/0003326800220029
PB - SciTePress