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An Image Depth Information Extraction Based on Parallel Random Evolutionary Algorithm

Computer vision is mainly used to study the application of computers to simulate human and biological visual system functions. Its research goal is to enable the computer to have the ability to recognize 3D scene information through one or more 2D images, that is, to use the computer to realize the perception, understanding and recognition of the objective world three-dimensional scene. Computer vision is not only an engineering field, but also a challenging research field in the scientific field. This paper introduces a parallel stochastic evolutionary algorithm, by proposing a new evolutionary algorithm for solving multi-objective minimum spanning tree, extracting image depth information.