A method and system for reconstructing a foot point cloud model

Abstract

The invention relates to a processing method and a system for reconstructing a foot point cloud model. The method comprises the following steps: obtaining a point cloud three-dimensional model reconstructed by matching a plurality of two-dimensional images; firstly, the 3D model of point cloud being divided into pieces by using the method of spatial hierarchical partition, and a simplified representation being calculated for each piece to obtain a simplified point cloud model; using the chord height difference method, connecting the front and back points of the detection point, calculating thedistance between the intermediate data point and the chord, comparing the distance with the given tolerance value, if the distance is greater than the tolerance value, determining that it is an abnormal point, and then deleting it, so as to remove the noise point in the place where the density is high and the curvature changes greatly in the point cloud model; then the weighted median filter being used to eliminate burrs and smooth the model; by calculating the length of each side of the uniform hole boundary, according to the calculated size of each included angle, the filling point coordinates being calculated, and the illegal judgment points falling outside the hole area being removed; repeating the process until a new filling point cannot be calculated and the hole filling ends.

Description

technical field [0001] The invention relates to shoe last model construction technology, in particular to a method and system for processing a reconstructed foot point cloud model. Background technique [0002] The human foot is prone to deformation and difficult to be in a static state. If the point cloud data of the foot is obtained using a contact measuring device, the probe of the measuring device will squeeze the instep during the measurement process, deforming the shape of the human foot. When the human foot is damaged, it also causes some errors in the measured human foot point cloud. Moreover, the use of contact measurement equipment requires the human foot to be in a specific position all the time, and the device needs to be used to fix it on the workbench. When measuring, the human foot also needs to move with the workbench. It is difficult for the human foot to achieve these requirements. As a result, many foot feature parameters and some complex surfaces and cur...

AI Technical Summary

Problems solved by technology

[0003] However, most of the existing shoe last model reverse reconstruction file formats are point cloud models and NURBS surface models generated by the boundary blending method or facet feature method. Multiple redundant points, large storage space, difficult data management and analysis, which is not conducive to real-time processing of models

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