Three-dimensional face recognition method based on vertical and horizontal local binary pattern on the mesh

A local binary mode and three-dimensional face technology, applied in the field of face recognition, can solve the problem of losing part of face information

Active Publication Date: 2016-10-12
SOUTHEAST UNIV
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Problems solved by technology

[0003] At present, many 3D face recognition algorithms are based on Local Binary Pattern (LBP, Local Binary Pattern), but most of these algorithms will convert

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  • Three-dimensional face recognition method based on vertical and horizontal local binary pattern on the mesh
  • Three-dimensional face recognition method based on vertical and horizontal local binary pattern on the mesh
  • Three-dimensional face recognition method based on vertical and horizontal local binary pattern on the mesh

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[0051] With reference to the drawings in the specification, the specific embodiments of the present invention are further described below.

[0052] The three-dimensional face recognition method based on the grid vertical and horizontal local binary mode of the present invention realizes the three-dimensional face recognition process through the Matlab R2013a programming tool in the Windows operating system. The experimental data comes from the FRGC v2.0 three-dimensional face database, which contains 4007 face models of 466 people used for testing. figure 1 It is the overall flow chart of the method of the present invention, and the specific steps are as follows:

[0053] Step 1: Extract the face area of ​​interest from the input 3D face point cloud, which is the face area contained in a ball with the tip of the nose as the center of the sphere and a radius of 90mm;

[0054] Step 2: After smoothing and denoising the three-dimensional face point cloud extracted in step 1, the nose po...

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Abstract

The invention discloses a three-dimensional face recognition method based on a vertical and horizontal local binary pattern on the mesh. The method comprises: pretreatment including face region cutting, smoothing processing, and pose normalization is carried out on a three-dimensional face model and all faces are placed under a pose coordinate system; seven profile lines of a face is extracted from a semi-rigid region of the three-dimensional face model and uniform resampling is carried out on each profile line to obtain 28 key points to represent a facial curved surface; surrounding adjacent regions of the key points are extracted, adjacent regions of the key points are represented by using a descriptor of a vertical local binary pattern on the mesh and a descriptor of a horizontal local binary pattern on the mesh, feature fusion is carried out to obtain a descriptor of a vertical and horizontal local binary pattern on the mesh; and then a 3D face is identified by using an LC-KSVD2 dictionary learning classification algorithm. According to the invention, local shape changes of a uniform face mesh surface due to factors like an expression can be described comprehensively; and the identification performance is excellent.

Description

technical field [0001] The present invention relates to a three-dimensional face recognition method based on grid vertical and horizontal local binary patterns, in particular to a face recognition method that uses face grids to directly recognize faces in the 3D field, and is suitable for people with large occasions of change. Background technique [0002] In the past two decades, the accuracy and applicable occasions of face recognition have been greatly limited due to the vulnerability of two-dimensional face recognition methods in the face of posture, different lighting conditions, expression changes, and facial makeup. More and more scholars have begun to devote themselves to the research of 3D face recognition technology. Three-dimensional face recognition technology refers to the technology of using the geometric information of the face in three-dimensional space for identity recognition. At present, many scholars have proposed many effective 3D face recognition meth...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/169G06V20/64G06V40/161G06V40/172
Inventor 达飞鹏汤兰兰郭梦丽邓星刘俊权吕士文
Owner SOUTHEAST UNIV
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