Construction method and device of scene space model and storage medium

Abstract

The invention provides a scene space model construction method and device and a storage medium, and relates to the technical field of computers, and the method comprises the steps: obtaining first point cloud information collected by a mobile point cloud collection device, and obtaining depth image information collected by a fixed-point depth camera device; determining a rotation matrix, corresponding to the global coordinate system, of a camera coordinate system of the fixed-point depth camera equipment, generating a first panoramic image based on the depth image information, and mapping the first panoramic image to a three-dimensional unit spherical surface; performing rotation processing on the three-dimensional unit spherical surface based on the rotation matrix to generate a second panoramic image; generating a scene space model according to the first point cloud information and the second panoramic image; according to the method and device, the electronic equipment and the storage medium, the distortion phenomenon of the scene space model can be effectively reduced, the shooting efficiency can be improved, and the modeling efficiency and accuracy of the scene space model can be improved.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular to a method, device and storage medium for constructing a scene space model. Background technique [0002] In the existing indoor 3D reconstruction technology, laser scanning equipment or depth imaging equipment is usually installed indoors, and color data and depth data are collected through the laser scanning equipment or depth imaging equipment by means of fixed-point shooting and acquisition. In the way of the point cloud, the 3D model of the indoor scene and the panorama corresponding to each 3D model are generated. However, the existing indoor 3D reconstruction technology has relatively large defects for large-scale scenes (such as gymnasiums, museums, etc.): due to the large area of ​​the scene, the shooting points are much more than ordinary indoor shooting, and it is easy to introduce cumulative errors. As a result, the scene space model spliced ​​by point c...

AI Technical Summary

Problems solved by technology

However, the existing indoor 3D reconstruction technology has relatively large defects for large-scale scenes (such as gymnasiums, museums, etc.): due to the large area of ​​the scene, the shooting points are much more than ordinary indoor shooting, and it is easy to introduce cumulative errors. As a result, the scene space model formed by splicing point clouds collected at different points has a serious distortion problem

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