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Three-dimensional face identification method and system based on regionalization implicit function features

A three-dimensional face and recognition method technology, applied in the field of three-dimensional face recognition, can solve the problem of face sub-region segmentation relying on posture correction, and achieve the effect of improving effectiveness and reducing time overhead.

Inactive Publication Date: 2015-07-29
牟永敏 +1
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional overall and partial algorithm is to divide the face area into multiple sub-areas for feature extraction, and then perform weighted fusion on the entire face. Although some new methods unify these two processes, the face sub-area Segmentation relies on manual pose correction

Method used

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  • Three-dimensional face identification method and system based on regionalization implicit function features
  • Three-dimensional face identification method and system based on regionalization implicit function features
  • Three-dimensional face identification method and system based on regionalization implicit function features

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Embodiment 1

[0039] Such as figure 1 As shown, the present embodiment provides a three-dimensional face recognition method based on regionalized implicit function features, including the following steps:

[0040] Acquisition step: collect 3D face point cloud data.

[0041] Face reconstruction step: select the basis function space, and calculate the implicit functions and control matrices of different face regions in the basis function space according to the collected 3D face point cloud data, and then combine to obtain the control matrix of the entire face; according to Implicit functions of different face regions extract isosurfaces and complete face surface reconstruction.

[0042] Face recognition step: Convert the control matrix of the entire face into a Laplacian matrix, and use it as a feature descriptor for 3D face recognition.

[0043] In addition, it also includes a face classification step: reducing the dimension of the Laplacian matrix, using the dimension-reduced Laplacian ma...

Embodiment 2

[0122] Such as Figure 5 As shown, this embodiment provides a three-dimensional face recognition system based on regionalized implicit function features, including:

[0123] Acquisition module, it is used for collecting three-dimensional human face point cloud data;

[0124] The face reconstruction module is used to select the basis function space, and calculate the implicit functions and control matrices of different face regions in the basis function space according to the collected 3D face point cloud data, and then combine to obtain the control of the whole face Matrix, and according to the implicit function of different face areas, extract the isosurface, and complete the reconstruction of the face surface;

[0125] The face recognition module is used to convert the control matrix of the entire face into a Laplacian matrix, which is used as a feature descriptor for 3D face recognition.

[0126] In this embodiment, the face reconstruction module includes a face area deco...

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Abstract

The invention discloses a three-dimensional face identification method and a three-dimensional face identification system based on regionalization implicit function features. The three-dimensional face identification method comprises the steps of: collecting point cloud data of a three-dimensional face; selecting basis function space, calculating implicit functions and control matrices of different face areas in the basis function space according to the collected point cloud data of the three-dimensional face, and then combining to obtain the control matrix of the whole face; extracting contour surfaces according to the implicit functions of the different face areas, so as to complete the reconstruction of the face surface; changing the control matrix of the whole face into a Laplacian matrix as a feature descriptor of three-dimensional face identification. The three-dimensional face identification system is in one-to-one correspondence to the features of the three-dimensional face identification method. According to the three-dimensional face identification method and the three-dimensional face identification system, the implicit functions are adopted to express the surface of the three-dimensional face and are solved by utilizing a Poisson equation, the calculated control matrix is used as the feature descriptor of the three-dimensional face, so as to complete the face identification, and the face reconstruction effectiveness and the face identification accuracy are increased.

Description

technical field [0001] The present invention relates to the application field of three-dimensional face recognition, in particular to a three-dimensional face recognition method and system based on regionalized implicit function features. Background technique [0002] 3D face recognition has become the most natural and direct means of identity authentication technology, and has become a hot topic in image recognition technology today, and the recognition technology based on 3D face modeling is the most intuitive 3D face recognition method , has a wide range of applications in animation production, medical cosmetology, image coding and other fields. [0003] When performing face recognition through 3D face point cloud data, it is first necessary to use a reconstruction algorithm to form a structured processing object that is easy to extract features, and then perform 3D face recognition. [0004] The current point cloud reconstruction algorithms can be roughly divided into t...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/171G06V40/172
Inventor 牟永敏
Owner 牟永敏
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