Registration of 3d range images using particle swarm optimization

Authors:
Hai V. Phan;Margaret Lech;Thuc D. Nguyen
Affiliations:
RMIT International University, Vietnam;School of Electrical and Computer Engineering, RMIT University, Melbourne, Victoria, Australia;Faculty of Information Technology, College of Natural Science, HCMC National University, Vietnam
Venue:
ASIAN'04 Proceedings of the 9th Asian Computing Science conference on Advances in Computer Science: dedicated to Jean-Louis Lassez on the Occasion of His 5th Cycle Birthday
Year:
2004

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Abstract

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.