Covariance matrix and projection mapping-based point cloud characteristic curve extraction method

A covariance matrix and extraction method technology, applied in the field of 3D images, can solve the problems of high time cost, insensitivity to subtle features of the model, poor noise resistance, etc.

Active Publication Date: 2017-10-20
ZHONGBEI UNIV
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Problems solved by technology

[0004] In order to solve the shortcomings of existing feature line extraction methods, such as insensitivity to subtle features of the model, high time cost, and poor noise resistance, the present invention proposes a feature line extraction method based on covariance matrix and projection mapping

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  • Covariance matrix and projection mapping-based point cloud characteristic curve extraction method
  • Covariance matrix and projection mapping-based point cloud characteristic curve extraction method
  • Covariance matrix and projection mapping-based point cloud characteristic curve extraction method

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[0051] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0052] Such as figure 1 As shown, the point cloud characteristic curve extraction method based on covariance matrix and projection mapping among the present invention, it comprises step 1 to step 7:

[0053] Step 1, calculate the resolution mr of the point cloud surface for the input point cloud data source, and calculate the maximum eigenvalue of the covariance matrix of each point as the intensity of the point.

[0054] Among them, the method of calculating the point cloud surface resolution mr and calculating the maximum eigenvalue of the covariance matrix can refer to the existing method of calculating the point cloud surface resolution mr and the maximum eigenvalue of the covariance matrix, which will not be elaborated here . The calculated resolution mr of the point cloud surface is used as a parameter in the subsequent steps, and the ...

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Abstract

The invention particularly relates to a covariance matrix and projection mapping-based point cloud characteristic curve extraction method, and mainly overcomes the shortcomings that an existing feature line extraction method is insensitive to fine features of a model and is high in time cost and relatively poor in noise resistance. The method comprises the steps of firstly clustering features into a plurality of band-shaped clusters by using eigenvalues of a covariance matrix as the features; then extracting key feature points according to a main direction in each cluster; and projecting the key feature points to local curved surfaces obtained by fitting through a moving least square method and taking the key points as centers, thereby forming a smooth feature line. The method is suitable for extraction of the feature line of the surface of a three-dimensional point cloud model, is used for describing geometric characteristics of the model, is a basic operation of processing a geometric model, and can be widely applied to the fields of geometric model visualization, optimization and simplification, curved surface reconstruction, mode recognition, reverse engineering and the like.

Description

technical field [0001] The invention belongs to the technical field of three-dimensional images, and in particular relates to a point cloud characteristic curve extraction method based on covariance matrix and projection mapping. This method is suitable for extracting feature lines on the surface of a 3D point cloud model, which are used to describe the geometric features of the model. Background technique [0002] With the rapid development of 3D scanning acquisition technology, the research on point cloud data processing has become a research hotspot in the development process of digital geometry processing. The extraction of feature lines is a basic operation for processing geometric models, which can provide important information for the understanding of 3D models. Therefore, it is widely used in the visualization, optimization and simplification of geometric models, surface reconstruction, pattern recognition, reverse engineering and other fields. [0003] For the 3D ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T7/11G06T7/187G06T15/00G06K9/62
CPCG06T7/11G06T7/13G06T7/187G06T15/00G06T2200/04G06T2207/20156G06F18/2321
Inventor 熊风光贺彤霍旺况立群韩燮
Owner ZHONGBEI UNIV
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