Three-dimensional face image recognition method based on the moment Fourier descriptor

A recognition method and facial image technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of reducing the complexity of data processing, large amount of calculation, not mentioning fast recognition, etc., to reduce the recognition time, The effect of reducing the amount of data

Inactive Publication Date: 2018-05-18
ANHUI POLYTECHNIC UNIV MECHANICAL & ELECTRICAL COLLEGE
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Problems solved by technology

This algorithm transforms the three-dimensional data used in face recognition into two-dimensional data (isodepth lines) for processing, and reduces the complexity of data processing on the basis of retaining the original face information; at the same time, it uses an improved manifold learning method to achieve Feature extraction, recognition rate and recognition speed have been greatly improved, but this algorithm uses the frequency domain method, which has a large amount of calculation and takes a long time
[0006] For example, the application number is CN201520790722.1, which discloses a face recognition device based on three-dimensional point cloud, including a central control module, a working power supply module connected to the central control module, a wireless communication module, a face recognition module and a three-dimensional face visual dictionary library, the 3D face visual dictionary library is c

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  • Three-dimensional face image recognition method based on the moment Fourier descriptor
  • Three-dimensional face image recognition method based on the moment Fourier descriptor
  • Three-dimensional face image recognition method based on the moment Fourier descriptor

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Embodiment Construction

[0021] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0022] Such as figure 1 Shown, a kind of stereo surface image recognition method based on moment Fourier descriptor, this method comprises the following steps:

[0023] (1) collect the face data of people by the image collector;

[0024] (2) Correct the 3D face depth maps of different poses to the "median plane":

[0025] a. Calculate the curvature values ​​of each discrete face surface, and accurately locate the left eye point, right eye point, nose tip point and saddle point of the face. For this surface S:z=f(x,y), the Gaussian curvature and average curvature of any point (x,y,f(x,y)) can be expressed as:

[0026]

[0027] b. According to the different values ​​of Gaussian curvature and average curvature, the curved surface can be divided...

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Abstract

The invention discloses a three-dimensional face image recognition method based on the moment Fourier descriptor, and relates to the technical field of three-dimensional imaging technology. For a three-dimensional face depth map under different postures, a differential geometric correlation theory is used for correcting to the median plane, and the contour line features of a human face are extracted to turn the three-dimensional face into a two-dimensional curve which is easy to process. A novel method for combining a torque and fourier descriptor is provided for better describing the two-dimensional curve. The extracted curve features are used for carrying out face recognition. The problem of low accuracy and slow recognition speed of a conventional three-dimensional face recognition method can be solved, the calculation time can be effectively shortened, and the recognition rate is high.

Description

technical field [0001] The invention relates to the technical field of three-dimensional imaging, in particular to a method for recognizing a three-dimensional image based on a moment Fourier descriptor. Background technique: [0002] Face recognition, like palmprint recognition, fingerprint recognition, voice recognition, etc., is a biometric-based identity authentication technology. It performs identity authentication by extracting and analyzing face visual feature information, and has the characteristics of non-contact and non-invasion of privacy. , is one of the most active and potential research directions in the field of pattern recognition and machine vision, and has broad application prospects, such as in e-commerce, access control systems, etc. [0003] The initial face recognition is mainly based on two-dimensional face features, and it can achieve better recognition results under suitable conditions. However, in practical applications, the two-dimensional face re...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/168G06V40/172
Inventor 杨福猛张玉明陈婷婷
Owner ANHUI POLYTECHNIC UNIV MECHANICAL & ELECTRICAL COLLEGE
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