Light field image depth estimation method based on spatial pyramid pooling

A light field image depth estimation method based on spatial pyramid pooling belongs to the field of three-dimensional image processing and the technical field of light field image depth estimation, and can realize the depth estimation method of a light field image by constructing and training a neural network model so as to improve the understanding of people on scene depth. Light field image depth estimation mainly adopts a stereo matching method, and the result of the stereo matching method among multiple viewpoint images depends on the understanding degree of semantics of a single viewpoint image to a great extent; according to the method, a spatial pyramid pooling model is applied to a single viewpoint image, so that a network can learn context semantic information of a target object, meanwhile, the network is guided by a cost aggregation thought in a traditional stereo matching method, scene depth information expressed among different viewpoint images is understood, and the scene depth information is ob