Utilizing particle swarm optimization to label a structured beam matrix

The use of structured lighting is common in machine vision systems where three-dimensional measurements must be made. In one method, a matrix of bright spots is projected onto an object. The spots move from predetermined positions depending on the distance between the object and the camera. Each spot must be labeled and tracked in order to compute the distance. In this paper, particle swarm optimization (PSO) has been utilized to label a structured beam matrix. Experimental results illustrate the effectiveness of the PSO approach.