Three-dimensional geologic body texture mapping method based on machine learning

Abstract

The invention discloses a three-dimensional geologic body texture mapping method based on machine learning, and the method comprises the following aspects: constructing a basic texture sample library, providing a method for supplementing the texture sample library, improving the precision of a three-dimensional geologic body model through Delaunay triangulation, carrying out texture mapping through tangent and normal mapping, and carrying out boundary image fusion. According to the technical method, the mapping technical problems of insufficient realistic expression, large mapping effect flaws and the like of the texture mapping can be solved, the efficiency can be improved, the error rate is greatly reduced, and a reference theoretical method is provided for research on simulation, authenticity and attractiveness of a three-dimensional geologic body texture mapping expressive force technical method in the future.

Description

technical field [0001] The invention relates to the technical field of geological body mapping, in particular to a three-dimensional geological body texture mapping method based on machine learning. Background technique [0002] With the rapid development of 3D visualization technology, geological body modeling technology is becoming more and more mature, and the related 3D modeling software is also showing a grand occasion. However, the staff pay too much attention to the modeling of geological bodies, and there are very few studies on 3D geological body maps. Most of the 3D geological body models use different color rendering to distinguish different geological bodies. Although they can distinguish different geological bodies very well, But it can't express the realism of the geological body well. Even though the basic texture mapping has been implemented in some 3D software, there are problems such as poor realism. 3D textures are developing rapidly, especially in the f...

AI Technical Summary

Problems solved by technology

[0003] The technical problem solved by the present invention is to take coal-measure strata modeling and refined expression as the research object, establish an extensible texture sample library example based on machine learning as the basis for modeling and mapping, and select a modeling method and fine-grained model suitable for coal-measure strata. It realizes the real reflection of the complex geological body of the coal-measure strata, and provides technical support for the integration process of standardized three-dimensional geological body modeling and mapping, scientific mining of mines, and detailed analysis of coal seam structure in the future.

Images