Automatic object and image alignment using Fourier Descriptors

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摘要

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.

论文关键词:Image alignment,Edge detection,Fourier Descriptors,Correspondence,Transformation,Iterative Closest Point

论文评审过程:Received 8 September 2004, Revised 5 November 2007, Accepted 19 January 2008, Available online 13 February 2008.

论文官网地址:https://doi.org/10.1016/j.imavis.2008.01.009