High-quality 3D texture reconstruction method

Abstract

The invention relates to a high-quality 3D texture reconstruction method. According to the high-quality 3D texture reconstruction method, a fuzzy detection module and a dynamic color weight distribution function are additionally adopted in texture reconstruction; a fuzzy detection algorithm is adopted to set a certain fuzzy threshold value, so that fuzzy pictures inputted into a system are removed; and the dynamic color weight distribution function is designed so as to dynamically distribute color weights for newly acquired color pictures, so that color information stored in voxels can be updated. With the high-quality 3D texture reconstruction method adopted, the problem of color edge ghosting can be solved, and the texture quality of a reconstructed 3D model can be greatly improved to a certain extent.

Description

technical field [0001] The invention belongs to the fields of computer vision and computer graphics, relates to three-dimensional reconstruction technology, and is a high-quality 3D texture reconstruction method. Background technique [0002] With the development of stereo vision technology and depth sensing equipment, 3D reconstruction technology, as an important branch of computer vision and computer graphics, is widely used in fields such as augmented reality, real-time positioning, drawing and cultural relic reconstruction, which greatly enriches human life and work. [0003] The process of 3D reconstruction includes geometric reconstruction and texture reconstruction. In geometric reconstruction, it is necessary to obtain the surface model of the actual scene and the depth information of each pixel, and then use the surface model and depth information to reproduce the 3D point cloud model of the scene in the computer. After surface smoothing of the point cloud model, t...

AI Technical Summary

Problems solved by technology

Affected by motion blur, part of the collected color images will be very blurred, resulting in the color information of the final generated model will also be affected by blur

At the same time, since color images from various angles need to be input in texture reconstruction, after obtaining a new color image, it is necessary to update the color information in the voxel and mix the new color information into the voxel. If the new color information If it cannot be effectively updated into voxels, it will lead to ghosting of the color in the edge area of ​​​​the reconstructed model

However, when the number of times voxels are updated increases, the traditional constant color information weight assignment function assigns too small a weight to the newly collected color information, so that the new color information cannot be effectively updated, while the original color information It will determine the final color update result, resulting in the situation that the color cannot be refreshed, so the above-mentioned blurring and ghosting problems become important factors affecting the texture quality of the 3D model

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