Image texture reconstruction method, device and equipment and storage medium

Abstract

The invention relates to the field of image processing, and discloses an image texture reconstruction method, device and equipment and a storage medium. The method comprises the steps of acquiring a three-dimensional image to be reconstructed; performing weight setting processing on the three-dimensional image to obtain a pixel coordinate weight set corresponding to the three-dimensional image; performing occlusion judgment processing on the three-dimensional image to obtain an occlusion area and a non-occlusion area corresponding to the three-dimensional image; constructing a triangular topological graph in the occlusion area; matching a reconstruction point with the same pixel value of the feature vertexes in the non-occlusion area; taking the reconstruction point as a vertex, taking thetriangular topological graph as a shape, one side being parallel to a diagonal side of the feature vertex in the triangular topological graph, and constructing a collection triangle in the non-occlusion area; and acquiring pixel value distribution in the acquired triangle, replacing and modifying the pixel value distribution in the triangular topological graph with the pixel value distribution, and determining an area corresponding to the triangular topological graph as the non-occlusion area.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an image texture reconstruction method, device, equipment and storage medium. Background technique [0002] With the development of VR / AR technology in recent years, there are more and more applications related to 3D models. It is particularly important to handle a 3D model, especially its color texture map. At present, an important method for acquiring 3D models is 3D scanning. To obtain a complete 3D model, multiple scans are generally required to be merged. Among them, color texture reconstruction has become a research hotspot. For multi-image fusion, it is necessary to deal with the differences in brightness, shooting angle and other information between different images. It also needs to deal with some missing textures due to scan occlusion, etc. [0003] The 3D scanning imaging area must be an effective area that can be reached by the scanning light. To obtain a c...

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Problems solved by technology

Also in the transition area between the two textures, because there is information of different textures at the same point, there will be obvious ghosting due to camera parameter errors, ambient light and scanning angle differences

[0006] Therefore, in view of the obvious traces and serious ghosting problems in the texture reconstruction of the current prior art, a new reconstruction scanning technology is needed

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