Cross section curve reconstruction method for three-dimensional model reconstruction

Abstract

The invention discloses a cross section curve reconstruction method for three-dimensional model reconstruction, which comprises the steps of carrying out segmentation on data points according to curvature information of discrete data, determining corresponding characteristics, and determining an area in which an ideal segmentation point is located; referring to the density of data sampling, determining a reasonable grid division spacing, and carrying out gridding on a target area; firstly fitting a straight line as for each node of the current grid, then fitting a B spline curve based on boundary constraint conditions, and calculating the total error of all data points to the curve and the number of control vertexes of the B spline curve; comprehensively analyzing the two groups of calculated data, and determining a current optimal segmentation point; outputting the optimal segmentation point if the density of the current grid node satisfies the precision; and otherwise, reducing the target area by taking the current optimal segmentation point as a center, reducing the spacing, dividing the grid, and reconstructing a cross section curve according to the current optimal segmentation point.

Description

technical field [0001] The invention belongs to the technical field of three-dimensional reconstruction, in particular to a section curve reconstruction method for three-dimensional model reconstruction. Background technique [0002] With the wide application of computer application technology, data detection technology, and numerical control technology, reverse engineering has become an effective way for rapid development of new products. The development of new products using reverse engineering technology is often more complicated, and software such as CAD / CAE / CAM / CAT must be used. The form in which products exist in these software is a 3D CAD model. Therefore, the primary task of reverse engineering is to reconstruct the 3D CAD model containing the original design intent. [0003] In the feature-based reverse engineering technology, the reconstruction of two-dimensional cross-section data is also the basis of surface reconstruction, and the accuracy and quality of the r...

AI Technical Summary

Problems solved by technology

The segment point is dynamically searched by the discrete variable ordinary grid method, so that the extraction accuracy of the segment point is greatly increased; and in the process of searching for the optimal segment point, the straight line features are updated in real time, which also avoids the problem of segment point extraction. Inaccuracy leads to the problem of poor reconstruction accuracy of straight line features, thereby improving the fitting quality of the entire cross-sectional data, making the reconstruction results more in line with the original intention of product design, and improving the accuracy of CAD model construction

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