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.