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AssigneeHuazhong University of Science and Technology
InventorsWenlong Li, Cheng Jiang, Gang Wang, Zelong Peng, Han Ding
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The disclosure discloses a method for extracting a boundary of a thin-walled part with small curvature based on three-dimensional point cloud. The method includes: collecting point cloud data of a part to reduce density of the point cloud data, performing Euclidean cluster to divide into point cloud pieces, obtaining triangular mesh surfaces for each point cloud triangulation; extracting a boundary vertex of each triangular mesh surface to obtain a contour thereof, selecting a contour of the part among all contours; searching with each point on the contour as a center to form a three-dimensional boundary point cloud band; projecting the three-dimensional boundary point cloud band to a plane, orderly extracting two-dimensional boundary points within the plane, and arranging corresponding points in the three-dimensional boundary point cloud band according to an order of ordered boundary points within the plane to obtain ordered boundary points in the three-dimensional boundary point cloud band.
A method for extracting a boundary of a thin-walled part with small curvature based on three-dimensional point cloud, characterized in that the method includes the following steps:
Dependencies are inferred from the claim text.
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Three-dimensional [3D] modelling for computer graphics: finite element generation, e.g. wire-frame surface description, tesselation
Extraction of image or video features: local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops,…
Scenes; Scene-specific elements: terrestrial scenes
Type of objects: three-dimensional [3D] objects
About 13 years 8 months of term left · ends 13 Jun 2040 (estimated)
This application is a 371 of international application of PCT application serial no. PCT/CN2020/095987, filed on Jun. 13, 2020, which claims the priority benefit of China application no. 201910581642.8, filed on Jun. 30, 2019. The entirety of each of the above mentioned patent applications is hereby incorporated by reference herein and made a part of this specification.
The disclosure relates to the field of robot vision measurement, and more specifically relates to a method for extracting a boundary of a thin-walled part with small curvature based on three-dimensional point cloud.
The thin-walled part with low curvature is used as a basic part in special fields, such as the aircraft wing and fuselage skin in the aviation field, and the rocket skin in the aerospace field. Automatic, high-efficiency, and high-precision extraction of the boundary of the thin-walled part with low curvature is the prerequisite for automatic processing, detection, and error evaluation of the thin-walled parts. Although there are several mature general-purpose point cloud processing software for extracting the boundary of the point cloud, the following issues arise during actual application to production.
FIG. 1 shows a method for extracting a boundary of a thin-walled part with small curvature based on three-dimensional point cloud according to a preferred embodiment of the disclosure.
FIG. 2(a) shows collected three-dimensional point cloud data of a part to be processed according to a preferred embodiment of the disclosure.
FIG. 2(b) is a partial enlarged view of a boundary in the collected three-dimensional point cloud data of the part to be processed according to a preferred embodiment of the disclosure.
For the objectives, technical solutions, and advantages of the disclosure to be clearer, the disclosure is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the disclosure, but not to limit the disclosure. In addition, the technical features involved in the various embodiments of the disclosure described below may be combined with each other as long as there is no conflict therebetween.
As shown in FIG. 1, a method for extracting a boundary of a thin-walled part with small curvature based on three-dimensional point cloud includes the following steps.
(a) Point cloud data of a part to be processed is obtained.