Improvements to the application of a relatively new meta-heuristic strategy, called Particle Swarm Optimization (PSO), to the registration of 3D range images are presented. The proposed improvements include: implementation of the search intensification procedure, the von-Neumann particle neighborhood topology and the differential evolution operator. The 3D data registration results show significant improvements compared to the currently used PSO-based registration techniques, as well as techniques involving other meta-heuristic optimization strategies, such as genetic algorithms and adaptive simulated annealing. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Phan, H. V., Lech, M., & Nguyen, T. D. (2004). Registration of 3D range images using particle swarm optimization. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3321, 223–235. https://doi.org/10.1007/978-3-540-30502-6_16
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