Abstract
Image registration has been a very active research area in the computer vision community. In the last few years, there is an increasing interest on the application of Evolutionary Computation in this field and several evolutionary approaches have been proposed obtaining promising results. In this contribution we introduce the use of an advanced evolutionary algorithm, Scatter Search, to solve the 3D image registration problem. The new proposal will be validated using two different shapes (both synthetic and MRI), considering three different transformations for each of them, and testing its performance with a Basic Memetic Algorithm and the classical, problem-specific ICP algorithm.
This work was partially supported by the Spanish Ministerio de Ciencia y Tecnologia under project TIC2003-00877 (including FEDER fundings) and under Network HEUR TIC2002-10866-E.
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Cordón, O., Damas, S., Santamaría, J. (2004). A Scatter Search Algorithm for the 3D Image Registration Problem. In: Yao, X., et al. Parallel Problem Solving from Nature - PPSN VIII. PPSN 2004. Lecture Notes in Computer Science, vol 3242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30217-9_48
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DOI: https://doi.org/10.1007/978-3-540-30217-9_48
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