Denoising method for three-dimensional geometric model based on structural feature description

A technology for structural features and geometric models, applied in the field of 3D geometric model denoising, can solve problems such as slow processing speed of large-scale geometric models, inability to guarantee result convergence, geometric model volume shrinkage, etc., achieving good universality and preventing boundaries and volume shrinkage, the effect of good robustness

Active Publication Date: 2017-10-20
NORTHEAST DIANLI UNIVERSITY
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Problems solved by technology

However, the existing local iterative geometric model denoising methods generally cannot guarantee the convergence of the results, and the volume shrinkage of the geometric model is more prone to occur. The overall optimized denoising method usually needs to use the original model information as a constraint, and it is easy to regard noise as features and cannot denoise well, and the processing speed for large-scale geometric models is slow

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  • Denoising method for three-dimensional geometric model based on structural feature description
  • Denoising method for three-dimensional geometric model based on structural feature description
  • Denoising method for three-dimensional geometric model based on structural feature description

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Embodiment Construction

[0062] The present invention will be further described below using the accompanying drawings and examples.

[0063] refer to figure 1 , a kind of three-dimensional geometric model denoising method based on structural feature description of the present invention, comprises the following steps:

[0064] 1) Construction of geometric signal

[0065] Read in the geometric model with noise, which is applicable to both CAD models with sharp features and non-CAD models with detailed features; for 3D geometric models represented by triangular meshes, the Laplacian operator and The vertex normal is inner producted to construct a geometric signal, which can describe the local details of the geometric model;

[0066] The concrete realization of the structure of geometric signal in described step 1) is:

[0067] Let {v i |i=1,2,…,n} is the n vertices of the three-dimensional geometric model represented by triangular mesh, Δ(v i ) is the vertex v i The discrete Laplacian operator of ,...

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Abstract

The invention relates to a denoising method for a three-dimensional geometric model based on structural feature description. The denoising method is characterized by comprising the steps of firstly constructing a vertex signal through performing inner product on a vertex Laplace vector and a vertex normal; then constructing a structural feature descriptor of each vertex based on a normal tensor of the vertex of the three-dimensional model so as to depict features of the geometric model, taking the structural feature descriptors as a basis for calculating a non-local mean filtering weight so as to perform smoothing on the vertex signal; and finally performing curve planar reconstruction on the smoothed signal so as to acquire a denoising model. The denoising method can well keep features of the geometric model while removing noise of the model, and acquires an excellent denoising effect.

Description

technical field [0001] The invention relates to a three-dimensional geometric model denoising method based on structural feature description. Background technique [0002] With the popularization of digital scanning technology, the 3D geometric model reconstructed by obtaining large-scale measurement points has been widely used in more and more fields, such as film and television entertainment, virtual reality, medical diagnosis, industrial manufacturing, cultural relics protection, etc. Due to the accuracy error of digital equipment, the defects of 3D reconstruction methods and some human factors, the obtained model inevitably has various noises and disturbances, and their existence is very unfavorable for display transmission and other subsequent geometric processing and analysis operations, such as geometric model parameters denoising, 3D watermarking, mesh deformation, etc., so it is necessary to denoise the acquired geometric model. [0003] The early work of geometric...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/20G06T17/20
CPCG06T5/002G06T5/20G06T17/20
Inventor 胡建平田胜景谢琪刘秀平
Owner NORTHEAST DIANLI UNIVERSITY
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