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    • 1. 发明专利
    • Three-Dimensional Reconstruction Method for Discrete Top Coal Particles of Intelligently Drawing Coals and System Therefor
    • AU2021204124A1
    • 2022-05-19
    • AU2021204124
    • 2021-06-18
    • CHINA UNIVERSITY OF MINING AND TECHNOLOGY BEIJING
    • LI LIANGHUIWANG JIACHENYANG SHENGLIWANG ZHAOHUIYUE HAO
    • G06T17/00G06K9/00G06Q50/02G06T19/00
    • The present invention relates to a three-dimensional reconstruction method for discrete top coal particles of intelligently drawing coals and a system therefor. The method comprises the steps of: acquiring shape characteristics of discrete top coal particles at different views; determining a weighted average value and a visual angle difference index of the discrete top coal particles according to the shape characteristics of the discrete top coal particles at different views; generating corresponding convex hulls according to the particle sizes of the discrete top coal particles; acquiring shape characteristics of the convex hull at different views; determining a weighted average value and a visual angle difference index of the convex hull according to the shape characteristics of the convex hull at different views; determining a target convex hull corresponding to the discrete top coal particles according to the weighted average value and the visual angle difference index of the discrete top coal particles and the weighted average value and the visual angle difference index of the convex hull corresponding to the discrete top coal particles; carrying out voxelization and skeletonization on the target convex hull; and, reconstructing the discrete top coal particles according to the voxelized and skeletonized target convex hull. According to the present invention, particle reconstruction with high precision and low data redundancy is realized. Acquiring shape characerisikcs of discrete top coal particles at different views -I I Decermining a weighted average value and i visual angle difteciidnex of dthe discrete topcoal part jlesaccording to the shapecharacteristicsof the discrete lo Sl 02 coalparticles at different views Generating corresponding convex hulls according to the partidlesies _ S103 of the discrete top coal particles Acquiring shape characteristics of the convex hull at different ''aractci------o S 104 views Determining a weighted average value and a visual angle difference index of the convex hull according to the shape Si05 characteristics of the convex hull at different views Determining a target convex hull corresponding to the discrete top coal particles according Lo the weighted average value and the visual angle difference index of the discrete top coal particles and the weighted average value and the visual angle difference index of the convex hull corresponding to the discrete top coal paricles Carrying out voxelization and skeletonization on the target convex hull S107 Reconstructing the discrete top coal particles according to the voxelized S I and skeletonized target convex hull