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
Object modelling by registration of multiple range images
Image and Vision Computing - Special issue: range image understanding
Iterative point matching for registration of free-form curves and surfaces
International Journal of Computer Vision
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Rigid, affine and locally affine registration of free-form surfaces
International Journal of Computer Vision
A survey of free-form object representation and recognition techniques
Computer Vision and Image Understanding
Journal of Global Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Revisiting evolutionary algorithms with on-the-fly population size adjustment
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
A review of recent range image registration methods with accuracy evaluation
Image and Vision Computing
Performance comparison of self-adaptive and adaptive differential evolution algorithms
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Differential Evolution as a viable tool for satellite image registration
Applied Soft Computing
Performance evaluation of memetic approaches in 3D reconstruction of forensic objects
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Emerging Trends in Soft Computing - Memetic Algorithms; Guest Editors: Yew-Soon Ong, Meng-Hiot Lim, Ferrante Neri, Hisao Ishibuchi
Differential evolution algorithm with strategy adaptation for global numerical optimization
IEEE Transactions on Evolutionary Computation
Face and iris localization using templates designed by particle swarm optimization
Pattern Recognition Letters
Quantum-inspired immune clone algorithm and multiscale Bandelet based image representation
Pattern Recognition Letters
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Image registration is present in many computer vision and computer graphics real-world applications. Specifically, it plays a crucial role within the 3D digital model acquisition pipeline, in which the iterative closest point (ICP) algorithm is considered the de facto standard for pair-wise alignment of range images. Nevertheless, the success of ICP depends on several assumptions. A new family of registration techniques have been recently proposed based on evolutionary computation paradigm to solve the common ICP problems. Unlike previous contributions, we propose a novel self-adaptive evolutionary image registration algorithm able to search for the values of both the control and the problem solving parameters to achieve accurate alignments, simultaneously. It combines two different population-based optimization approaches that are concerned with the proper optimization of the control parameters and the image alignments, respectively. The performance of our proposal is compared with several state-of-the-art image registration methods.