Method for extracting incomplete data symmetry characteristics based on extended Gaussian ball and M estimation

An extraction method, an incomplete technology, applied in the field of computer vision, can solve the problem that the Gaussian image is not unique
CN106204557AInactive Publication Date: 2016-12-07YANGZHOU UNIV
1 Cites 19 Cited by

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
YANGZHOU UNIV
Publication Date
2016-12-07
Estimated Expiration
Not applicable Β· inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention relates to a method for extracting incomplete data symmetry characteristics based on an extended Gaussian ball and M estimation, belonging to the field of computer vision. The method disclosed by the invention comprises the following steps of: (1), scanning a defect facial model by adopting a method based on a three-dimensional scanner so as to obtain initial mirror image data; (2), establishing a spatial topological relationship between a point and a point by adopting a topological structure based on spatial rasterization so as to eliminate noise point cloud, performing K neighbourhood searching, and then, establishing the extended Gaussian ball through normal information so as to find out a corresponding point; (3), roughly aligning the corresponding point based on a principle axis; (4), finely aligning in combination with an M estimation ICP algorithm; and (5), performing least square fitting of a point set in the corresponding point to calculate a central symmetry surface. According to the method disclosed by the invention, the extended Gaussian ball and advantages of an improved ICP algorithm are combined; therefore, characteristic extraction can be carried out more precisely; and more characteristic extraction complex conditions can be satisfied.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to a method for extracting symmetric features of incomplete data, in particular to a method for extracting features of incomplete data based on fusion of extended Gaussian sphere and M estimation, belonging to the field of computer vision. Background technique

[0002] Due to the popularity of computer graphics scanning equipment and geometric modeling software, as well as the improvement of the cost performance of graphics processing hardware, more and more 3D models have been widely used in various fields, so the feature extraction method of 3D models has become the key. For the extraction of the model, the first step is to preprocess the coordinates of the model, and principal component analysis (PCA) is often used. The traditional PCA algorithm will have such problems in the retrieval of 3D models. If PCA is used to preprocess the model described by triangular patches, the PCA frame obtained after processing will be different ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More