A fast loading and displaying method for massive point cloud data

Abstract

The invention discloses a fast loading and displaying method for mass point cloud data, which comprises the following steps: preprocessing data files, analyzing and processing the original data fileswith mass point cloud by using the principle of pyramid and octree realization; calculating a level after a pan or zoom operation and comparing the current zoom level to load octree units that need tobe updated or all octree units that can be in a display range under the level; a method accord to that invention refers to a pyramid structure, octree structure and multithreading implement the preprocessing of data files, Combining the current zoom level with the desired zoom level, By releasing the data that does not need to be displayed, the shortcomings of the traditional loading method, suchas time consuming and memory shortage, are solved, the efficiency of loading massive point cloud data is improved, the data loading time is reduced, the user experience is improved, and the effect offast loading and displaying massive point cloud data is achieved.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method for quickly loading and displaying massive point cloud data. Background technique [0002] Under normal circumstances, after scanning a real object with a scanning device (such as a 3D laser scanner), a file (such as txt format) containing the point cloud data of the scanned object will be generated. The traditional loading method is to directly load the data file After displaying on the interface, this can only be applied to the case where the data file is small and the amount of point cloud data is small, but if the data file contains a lot of data (that is, the amount of data is relatively large, such as scanning hundreds of millions or even billions of Point data), the file itself occupies dozens of G. In this case, it will take a long time to load this file, and with the existing commonly used computer memory configuration (usually 8G to 16G), it may not be possible t...

AI Technical Summary

Problems solved by technology

[0003] Aiming at the problems existing in the prior art, the present invention provides a method for quickly loading and displaying massive point cloud data, which uses a pyramid structure, an octree structure and multi-threading to realize the preprocessing of data files, combined with the current zoom level Compared with the required zoom level, by releasing the data that does not need to be displayed, it solves the shortcomings of the traditional loading method, such as long time-consuming and insufficient memory, improves the efficiency of the program to load massive point cloud data, displays it quickly, and reduces the cost of data loading. The required time is improved, the user experience is improved, and the effect of fast loading and display of massive point cloud data is achieved.

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