Simulation data set analysis method and system based on three-dimensional reconstruction scene

Abstract

The invention provides a simulation data set analysis method and system based on a three-dimensional reconstruction scene, and belongs to the technical field of three-dimensional data set processing and analysis. The method specifically comprises the following steps: step 1, acquiring actual application scene data through information acquisition equipment; 2, processing and analyzing the scene data; 3, constructing a three-dimensional scene model based on an analysis result; 4, performing simulation operation in the three-dimensional scene model; and 5, acquiring simulation data in real time, and constructing a simulation data set. According to the method, the three-dimensional scene is reconstructed by fusing the color information and the depth information, and the reconstructed three-dimensional scene model is used for simulation to obtain the corresponding simulation data set, so that compared with the prior art, the data set generated by the method solves the problems of poor universality and single data.

Description

technical field [0001] The invention relates to the technical field of three-dimensional data set processing and analysis, in particular to a simulation data set analysis method and system based on three-dimensional reconstruction scenes. Background technique [0002] With the development of intelligent technology, intelligent industrial production has gradually replaced redundant manual operations. In the production process of intelligent equipment, in order to effectively improve its practical performance, the method of data set training is often used to optimize the relevant personalized parameter. [0003] In the prior art, for the training process of the three-dimensional reconstruction scene, the artificially constructed scene is often used for training and verification. However, artificially constructed scenes often differ from the actual application environment in terms of texture and lighting. Therefore, related products are often in good condition during testing, ...

AI Technical Summary

Problems solved by technology

However, there are often differences in texture and lighting between the artificially constructed scene and the actual application environment. Therefore, it often happens that related products are in good condition during the test process, but in actual application, there are insufficient expectations.

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