Hole detection and repairing method based on point cloud greedy triangular projection construction model
A technology for building models and holes, applied in image data processing, instruments, computing, etc., can solve the problem of point cloud sparseness and other problems, and achieve good results and propulsion, improve accuracy, and high efficiency.
Active Publication Date: 2019-11-05
POWER CHINA KUNMING ENG CORP LTD +1
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[0002] The point cloud greedy triangular projection construction model refers to the point cloud data collected by 3D laser scanning, underwater multi-beam, etc., and the 3D model constructed by the greedy triangular projection method, but the quality of this model construction is affected by the relative sparseness of the point cloud The impact is large, and many model holes are often generated on the 3D model. Therefore, in order to improve the refinement of the model constructed by the point cloud greedy triangular projection, it is necessary to be able to quickly and automatically find the area where the hole exists, and at the same time be able to use an optimized algorithm. To repair the hole completely, such a model can play its value and provide a reliable guarantee for the follow-up point cloud analysis work
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[0020] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.
[0021] Such as Figure 1-6 As shown, the technical solution adopted in the present invention is: a hole detection and repair method based on point cloud greedy triangular projection model construction, comprising the following steps:
[0022] Step (1) Improved triangular unilateral method to identify model holes: Based on the greedy triangular projection construction model of point cloud data collected by 3D laser scanning, underwater multi-beam, etc., load its model recognition constructed by greedy triangular projection method Draw out all the boundary lin...
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The invention discloses a hole detection and repairing method based on a point cloud greedy triangular projection construction model. Point cloud data acquired by means of three-dimensional laser scanning, underwater multi-beam and the like are used as a basis. A point cloud three-dimensional model is constructed according to a greedy triangular projection method; however, the construction qualityof the model is greatly influenced by the relative sparse degree of point clouds. A plurality of model holes are often generated in a three-dimensional model; therefore, the refinement degree of a point cloud greedy triangular projection construction model is improved; according to the method, the area with the hole needs to be rapidly and automatically found, meanwhile, the hole needs to be completely repaired through an optimized algorithm, the value of the complete three-dimensional model with the high refinement degree can be brought into play, and reliable guarantee is provided for subsequent point cloud analysis work.
Description
technical field [0001] The invention relates to the technical field of basic surveying and mapping data processing, in particular to a hole detection and repair method for building a model based on point cloud greedy triangular projection. It belongs to the basic work of subsequent data processing of point cloud data collected by 3D laser scanning, underwater multi-beam, etc., and is of great significance to the accuracy, reliability and application of deep point cloud data analysis. Background technique [0002] The point cloud greedy triangular projection construction model refers to the point cloud data collected by 3D laser scanning, underwater multi-beam, etc., and the 3D model constructed by the greedy triangular projection method, but the quality of this model construction is affected by the relative sparseness of the point cloud The impact is large, and many model holes are often generated on the 3D model. Therefore, in order to improve the refinement of the model co...
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IPC IPC(8): G06T7/00G06T7/50
CPCG06T7/0002G06T7/50G06T2207/10028G06T2207/30168
Inventor 吴小东保振永陈科刘祜昌肖胜昌吴弦骏桂林陈昌黎白畯文杨文郑永新
Owner POWER CHINA KUNMING ENG CORP LTD