loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Bernard Tiddeman 1 and David Hunter 2

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

ISBN: 978-989-8425-47-8

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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.91.106.223

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, 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 - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={22-29},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003326800220029},
isbn={978-989-8425-47-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - GROUPWISE NON-RIGID IMAGE ALIGNMENT - Results of a Multiscale Iterative Best Edge Algorithm
SN - 978-989-8425-47-8
AU - Tiddeman, B.
AU - Hunter, D.
PY - 2011
SP - 22
EP - 29
DO - 10.5220/0003326800220029

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.