关键词: 智能优化算法 PSO算法 SFS算法 算法性能

Abstract:

Particle swarm optimization （PSO） is a new heuristic global optimization technique based on swarm intelligence. To improve the fidelity of 3D recons truction, this paper uses a PSO algorithm to optimize the SFS algorithm and adopts the basic test function to perform emulation and comparisons. In the  end, we analyse the performance and convergence speed of the improved SFS algorithm. Obviously, the method has been proved remarkably.

Key words: intelligent optimized algorithm, PSO, SFS, algorithm performance