Automatic object and image alignment using Fourier Descriptors

Authors:
Weisheng Duan;Falko Kuester;Jean-Luc Gaudiot;Omar Hammami
Affiliations:
Ion Beam Application S.A., Avenue Albert Einstein, 4, B-1348 Louvain-La-Neuve, Belgium;Department of Structural Engineering, University of California San Diego, La Jolla, CA 92093-0436, USA;Department of Electrical Engineering and Computer Science, University of California Irvine, Irvine, CA 92697-2625, USA;ícole Nationale Supérieure de Techniques Avancées, 32 Boulevard Victor, 75739 Paris Cedex 15, France
Venue:
Image and Vision Computing
Year:
2008

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Abstract

This paper presents a new edge-based technique for image alignment, combining Fourier Descriptors (FD) and the Iterative Closest Point (ICP) computation into an accurate and robust processing pipeline. Once edges are identified in the reference and target images, Fourier Descriptors are used to simultaneously determine edge correspondence and estimate the transformation parameters. Subsequently, an ICP computation is applied to further improve the alignment results. Using Fourier Descriptors in combination with a reliable distance matrix, corresponding edge pairs can be reliably detected for all identified edges.