Efficient cumulative matching for image registration

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摘要

A new level-line registration technique is proposed for image transform estimation. This approach is robust towards contrast changes, does not require any estimate of the unknown transformation between images and tackles very challenging situations that usually lead to pairing ambiguities, like repetitive patterns in the images. The registration by itself is performed through efficient level-line cumulative matching based on a multi-stage primitive election procedure. Each stage provides a coarse estimate of the transformation that the next stage gets to refine. Even if we deal in this paper with similarity transform (rotation, scale and translation), our approach can be adapted to more general transformations.

论文关键词:Registration,Level-lines,Primitive matching

论文评审过程:Received 9 February 2004, Revised 16 September 2005, Accepted 24 September 2005, Available online 2 December 2005.

论文官网地址:https://doi.org/10.1016/j.imavis.2005.09.013