Local descriptor-based three-dimensional face recognition method

A local descriptor, three-dimensional face technology, applied in character and pattern recognition, computer parts, instruments, etc., can solve the problems that affect the performance of three-dimensional face recognition, large amount of calculation, and many interference areas, and achieve good face representation. effect, effect

Active Publication Date: 2011-03-16
海安江理工技术转移中心有限公司 +1
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Problems solved by technology

However, the amount of 3D face data is large, there are many interference areas, and the amount of calculation is large, and the non-r

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  • Local descriptor-based three-dimensional face recognition method
  • Local descriptor-based three-dimensional face recognition method
  • Local descriptor-based three-dimensional face recognition method

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Embodiment Construction

[0054] Referring to the accompanying drawings, specific embodiments of the present invention will be described in more detail below. The programming implementation tool is Visual C++ 6.0. The laboratory data comes from the FRGC v2.0 3D face database, collected by the University of Notre Dame in the United States. The test set includes 4007 3D faces of 466 people, mainly in the autumn of 2003 and 2004. Spring collection. In this paper, the first 3D face of each person is used as the library set model, and the rest are used as the test model.

[0055] figure 1 It is a flowchart of the three-dimensional face recognition method of the present invention.

[0056] Figure 6 is a schematic diagram of local feature extraction on sampling points. For any sampling point on the face, the neighborhood of 50 point sets is extracted respectively, and the normal vector n is calculated according to the micro-section plane formed by the neighborhood. By calculating the relationship betwee...

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Abstract

The invention discloses a local descriptor-based three-dimensional face recognition method, which comprises the following steps of: (1) preprocessing a face library model and a testing face model by face cutting, gesture normalization and dilution, and finally establishing a face principle axis coordinate system by taking the tip of nose as a center; (2) extracting equidistant contour lines from the face library model and the testing face model, extracting sixteen contour lines equidistant to a point of the tip of nose by taking the point of tip of nose as a center, and resampling to acquire the same number of sampling points; (3) latticing the face library model and the testing face model, and extracting a local projection area on the acquired sampling points in the step (3) as a local characteristic; (4) establishing one-to-one correspondence between the sampling points in the same sequence on the face library model and the testing face model, and comparing local characteristics of corresponding points; and (5) taking Euclidean distance of the local characteristics between the corresponding points as similarity, and selecting a face which is most similar to the testing face from the face library as a recognition result.

Description

technical field [0001] The invention relates to a three-dimensional face recognition method based on local descriptors. For any sampling point, three neighborhood point sets are adaptively selected, and the projected areas projected on the three planes XOY, YOZ and XOZ in turn are taken as the The local features of points, using such a local descriptor for face recognition, has a good face representation effect, and reduces the impact of expression on recognition. Background technique [0002] Biometric identification has important applications in the field of security, especially compared with fingerprints, irises and other features, automatic face recognition technology has attracted more and more attention due to its advantages of non-contact, high acceptability, and good concealment. , has huge room for development. [0003] The traditional face recognition technology based on two-dimensional photos is greatly affected by factors such as lighting, posture, and makeup. ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 达飞鹏徐俊
Owner 海安江理工技术转移中心有限公司
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