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Method for detecting multi-dimension characteristic line of noise grid model

A multi-scale feature and grid model technology, applied in the field of computer vision and graphics, to achieve the effect of maintaining the topological connection relationship

Inactive Publication Date: 2009-06-24
PEKING UNIV
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Problems solved by technology

For the 3D mesh model obtained from the original scanning data, due to the inevitable noise in the data, if the traditional method of directly detecting the feature line is used to detect the feature line, the detection result will contain many redundancy due to noise. Curves, it is difficult to distinguish them from the required characteristic lines by simple post-processing operations

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  • Method for detecting multi-dimension characteristic line of noise grid model
  • Method for detecting multi-dimension characteristic line of noise grid model
  • Method for detecting multi-dimension characteristic line of noise grid model

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Embodiment Construction

[0034] The multi-scale feature line detection method of the noise grid model proposed by the present invention is described as follows with reference to the drawings and embodiments.

[0035] Such as figure 1 As shown, the multi-scale feature line detection method of the noise grid model of the present invention includes:

[0036] S01: Construct a discrete multi-scale representation of a three-dimensional mesh model;

[0037] In this embodiment, the discrete multi-scale representation of the three-dimensional mesh model is obtained according to vertex-based anisotropic diffusion: the method of anisotropic diffusion is extended to the three-dimensional mesh model, and a vertex-based anisotropic diffusion is used to obtain A series of three-dimensional mesh models with different smoothness; different smoothness corresponds to different scales, the greater the smoothness, the larger the scale parameter, thereby constructing a discrete multi-scale representation of the original mesh m...

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Abstract

The invention relates to a method for detecting multi-scale characteristic lines, which aims at a noise mesh model. The method comprises the following steps: constructing a discrete multi-scale representation of a three-dimensional mesh model; obtaining respective optimal local scales of each vertex on the three-dimensional mesh model according to the probability estimate; calculating the curvature information of each vertex on the three-dimensional mesh model under the corresponding optimal local dimension; detecting characteristic points according to the curvature information, and using the characteristic points to generate the characteristic lines. The method can effectively overcome the effect of noise in the data, and rapidly acquire the detection results.

Description

Technical field [0001] The invention relates to the field of computer vision and graphics, in particular to a method for detecting characteristic lines of a three-dimensional grid model. Background technique [0002] With the continuous development of 3D scanning systems, it is already possible to easily obtain large data volume and high-precision 3D models. In order to obtain a more reliable digital geometric processing method based on 3D model data, the detection of characteristic lines is used as the process of 3D model processing. An important part of it has become one of the research hotspots. [0003] The characteristic line usually refers to a curve that has nothing to do with the viewpoint and reflects the geometric changes of the surface of the three-dimensional model. It is defined as a line formed by the vertices of the three-dimensional model whose principal curvature has a positive maximum or a negative minimum along its corresponding principal direction. Including r...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00
Inventor 罗涛查红彬
Owner PEKING UNIV
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