Data processing method and device, electronic equipment and computer program product

Abstract

Embodiments of the invention disclose a data processing method and apparatus, an electronic device and a computer program product. The method comprises the steps of obtaining to-be-processed point cloud data; slicing the to-be-processed point cloud data into a plurality of hierarchical slice data, and storing the hierarchical slice data in a tree structure form; each layer of slice data corresponds to a node in the tree structure, part of point cloud data extracted from the current layer of slice data is stored in a current node corresponding to the current layer of slice data, and the current layer of slice data obtained by segmenting the current layer of slice data corresponds to child nodes of the current node; screening out a target node meeting a preset condition from the tree structure based on a projection pixel area after the hierarchical slice data is projected to a screen; and loading the hierarchical slice data correspondingly stored by the target node. According to the technical scheme, the number of point cloud data loaded at a time can be reduced, the problems caused by memory limitation and transmission speed limitation can be avoided, and the requirement of real-time rendering interaction can be met.

Description

technical field [0001] The present disclosure relates to the field of image technology, and in particular, to a data processing method, apparatus, electronic device, and computer program product. Background technique [0002] After the point cloud data is collected, it is usually necessary to load and display it in a web browser and perform manual operations. If the originally collected point cloud data is directly loaded into a web browser, it will face pressures in terms of memory and performance. For example, the browser cannot load point cloud data endlessly. Each point needs three coordinate values ​​of x, y, and z to express the position attribute. To store a point requires 3 × 8 bytes of memory, if it is 500 million The point cloud requires about 11GB of memory. For ordinary devices, both memory and video memory are difficult to carry. In addition, when rendering and interacting in real time, it is not only necessary to render point cloud images, but also need to p...

AI Technical Summary

Problems solved by technology

In addition, because the point cloud data needs to be transmitted through the network under the B / S architecture, if the complete point cloud data is directly transmitted, the user needs to spend a lot of waiting time before the rendering calculation starts

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