Grid curved surface reconstruction method for scene understanding

Abstract

The invention discloses a grid curved surface reconstruction method for scene understanding, and belongs to the field of three-dimensional graphics. The method comprises the following steps of: automatically identifying abnormal data through a mathematical model based on an undirected graph network, and estimating and adjusting a point cloud normal vector in an internal curved surface mapping manner; solving low-latitude feature information of the point cloud model, extracting a skeleton center curve, and designing a block segmentation mode of a complex branch area; for the point cloud from which the branches are removed, adopting a depth map mapping mode to identify and construct a visual field visible area of the point cloud, and designing a visual clustering-based slice body segmentation mode; constructing a self-learning scene understanding model based on the segmentation result, and realizing automatic restoration of the missing region; finally, designing a point cloud reconstruction algorithm based on a hyperspherical mapping mechanism, and surface data reconstruction loyalty of the original point cloud is achieved, and the method can be applied to efficient and accurate reconstruction of a CAD model, a building, an organism and a point cloud model mixed with multiple scenes.

Description

technical field [0001] The invention belongs to the field of three-dimensional graphics, and the invention relates to a grid surface reconstruction method and system for scene understanding, in particular to a grid surface reconstruction method for scene understanding. Background technique [0002] In view of the large amount of data, scattered and disordered, and local missing characteristics of the measured point cloud, how to efficiently perform various types of measured entities (such as: LIDAR data, data obtained by ATOS structured light, Faro laser and other scanners) , Accurate reconstruction of its corresponding triangular mesh model has been a hot topic in academic research. [0003] Based on the comprehensive research and analysis of reconstruction algorithm theory, model source classification, and methods of processing massive point clouds, the reconstruction algorithm will enable the reconstruction algorithm to effectively deal with complex shapes and multiple so...

AI Technical Summary

Problems solved by technology

Judging from the published literature and software system research results in China, for point cloud models from different scenes, there is still a lack of "point cloud segmentation for mesh surface reconstruction" and "lack of model scene understanding". Systematic implementation of the point cloud mesh surface reconstruction algorithm with three characteristics of "automatic area repair" and "point cloud surface reconstruction theory with computational geometric properties"

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