Parcel volume measuring method and system, storage medium and mobile terminal
A volume measurement and wrapping technology, applied in the field of computer vision, can solve the problems of measurement error, inability to distinguish the upper surface and the side, etc., to reduce segmentation interference, improve the accuracy and reliability of dimensional measurement, and high measurement efficiency. Effect
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no. 1 example
[0041] According to the first embodiment provided by the present invention, such as figure 1 Shown, a kind of parcel volume measuring method comprises steps:
[0042] S100. Obtain a target point cloud, the target point cloud at least includes a point cloud of a support surface and a point cloud of a top surface of the package to be tested; the support surface is the surface on which the package to be tested is placed; the point cloud of the package to be tested is The top surface is the surface of the package to be tested away from the support surface.
[0043] S200. According to the target point cloud, obtain the plane equation of the support surface, the plane equation of the top surface of the package to be tested and the point cloud of the top surface of the package to be tested by means of plane fitting, and according to the support The height of the package to be tested is obtained by calculating the plane equation of the surface and the plane equation of the top surfac...
no. 6 example
[0128] According to the sixth embodiment provided by the present invention, a package volume measurement method, on the basis of the first embodiment, after the step of acquiring the target point cloud, and before the step of plane fitting the target point cloud, further includes the steps of:
[0129] S110. Perform thinning processing on point clouds in the target point cloud, and filter redundant point clouds in the target point cloud.
[0130] Specifically, this embodiment is an optimized embodiment of the above-mentioned first to fifth embodiments, in order to reduce the time for calculating and obtaining the size of the package to be measured, and because when processing the target point cloud, an excessively high resolution is not required , so before segmenting the target point cloud, the point cloud in the target point cloud can be sparsely processed, so that the processing amount of point cloud data can be appropriately reduced, and the number of point clouds can be av...
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