Interactive drawing method aiming at large-scale geometric scene

Abstract

The invention discloses an interactive drawing method aiming at a large-scale geometric scene. The method comprises two main parts, namely 1, parallel preprocessing is performed on data of the large-scale geometric scene based on MapReduce, and 2, interaction service of B / S framework is established on the basis of a preprocessing result. The method has the advantages that aiming at the large-scale geometric scene, the rapid preprocessing is carried out through a distributed and parallel processing mode, and then the subsequent interaction service is provided on the basis of preprocessing data, so that the large-scale scene can be rapidly shown for users in a interaction mode, basically the speed of the front-end interaction processing does not dramatically decline along with the increasing of complexity of the scene, and the user experience is good; and furthermore, as the preprocessing data comprise information such as normal, depth and materials, the preprocessing data can be flexibly processed by front-end service, and the requirements of the users on different drawing effects are met.

Description

technical field [0001] The invention relates to large-scale geometric scene data, integrates research in the fields of distributed computing, graphics rendering and Internet services, and specifically relates to an interactive rendering method for large-scale geometric scenes. Background technique [0002] With the development of computer technology, more and more modeling work has been migrated from the traditional model to the computer, that is, computer-aided design (CAD). In the early model design, due to the backward modeling technology and low modeling requirements, the models were often rough and crude. These simple models can be easily drawn in real time on today's personal computers, so User interaction and modification are very convenient. [0003] However, with the continuous maturity of modeling technology and modeling software, and the continuous enrichment of model acquisition channels, people are more willing to create some more delicate and complex scenes, w...

AI Technical Summary

Problems solved by technology

[0022] The purpose of the present invention is to propose a method of using MapReduce distributed processing to accelerate the preprocessing of large-scale data, and then A method for providing an interactive viewing service based on these data

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