Method and device for generating three-dimensional image

Abstract

The embodiment of the invention relates to a method and a device for generating a three-dimensional image. The method comprises the steps as follows: a plurality of micro-cell images are obtained; each micro-cell image is divided into a plurality of feature areas; the difference value between color values of any two pixel points within each feature area in the plurality of feature areas is smaller than or equal to a first threshold, a plurality of area planes are determined according to the plurality of feature areas; the feature areas comprised by each area plane belong to the same object or belong to a homology region; each feature area in the plurality of feature areas only belongs to one area plane in the plurality of area planes; an area plane depth value of each area plane is determined; and the three-dimensional image is obtained according to the area plane depth value. The method and the device for generating the three-dimensional image provided by the embodiment of the invention can relatively accurately extract the depth values, so that generated three-dimensional images are relatively accurate and vivid; and the application scene range is relatively wide.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and device for generating three-dimensional images. Background technique [0002] 3D reconstruction has attracted more and more attention because it can reconstruct the 3D model information of objects. In the existing 3D reconstruction technology, a method for calculating the depth of the anti-aliasing iteration of the viewpoint map is proposed, which mainly solves the problem of wrong depth calculation. Since this method puts the depth calculation target on the viewpoint map, it will inevitably lead to low depth resolution and cannot obtain too complex scenes, which greatly limits the application range of this method. [0003] In addition, in the field of machine vision research, how to extract the depth information of the target from two two-dimensional images with displacement to reconstruct the three-dimensional outline of the target has always been an important prob...

AI Technical Summary

Problems solved by technology

However, the reconstruction method described in this method still results in a two-dimensional image, but cannot restore the depth information of a three-dimensional object, which reduces the advantages of light field imaging

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