Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Iterative point matching for registration of free-form curves and surfaces
International Journal of Computer Vision
Image registration with iterated local search
Journal of Heuristics
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Pre-registration of arbitrarily oriented 3D surfaces using a genetic algorithm
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Optimal antenna placement using a new multi-objective chc algorithm
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Feature-based image registration by means of the CHC evolutionary algorithm
Image and Vision Computing
3D inter-subject medical image registration by scatter search
HM'05 Proceedings of the Second international conference on Hybrid Metaheuristics
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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 has been proposed obtaining promising results. In this contribution we present an advanced evolutionary algorithm to solve the 3D image registration problem based on the CHC. The new proposal will be validated using two different shapes (both synthetic and MRI), considering four different transformations for each of them and comparing the results with those from ICP and the usually applied binary coded genetic algorithms.