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A 3D Face Recognition Method Based on Facial Curve Elastic Matching

A 3D face and elastic matching technology, applied in the field of 3D face recognition, can solve problems such as excessive calculation

Active Publication Date: 2016-01-13
SOUTHEAST UNIV
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Problems solved by technology

[0004] Purpose of the invention: Aiming at the problem that the calculation amount of 3D face recognition is too large and it is sensitive to the influence of expression, occlusion, noise, etc., the present invention provides a method with good recognition performance and better robustness to expression, occlusion and noise. A novel 3D face recognition method based on facial curve elastic matching

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  • A 3D Face Recognition Method Based on Facial Curve Elastic Matching
  • A 3D Face Recognition Method Based on Facial Curve Elastic Matching

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Embodiment Construction

[0067] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0068]The three-dimensional human face recognition method based on facial curve elastic matching of the present invention realizes the three-dimensional human face recognition process with the C++ programming language through the VC++6.0 platform in the Windows operating system. The experimental data comes from the FRGCv2.0 three-dimensional face database, which was collected by the University of Notre Dame in the United States, mainly in the fall of 2003 and the spring of 2004. figure 1 It is an overall flow chart of the inventive method, and the concrete steps are as follows:

[0069] Step 1), respectively preprocessing the test face model and the N library face set models, the preprocessing steps are as follows:

[0070] Step 1.1), cut the original face model to get the face model:

[0071] The original face model is attached figure 2 As...

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Abstract

A three-dimensional facial recognition method based on elasticity matching of facial curves comprises the following steps: firstly, performing pretreatment on a three-dimensional face, extracting a plurality of facial radial curves emitted from a nose top point, and performing resampling on the radial curves to extract useful points; then, performing layering elasticity matching on all radial curves of the detected face and corresponding curves of faces gathered in a library, and performing point distance matching on the curves according to point corresponding relations established between the detected face and the faces gathered in the library and by using distances between corresponding points and the nose top point; and lastly, performing weighting fusion on layering elasticity matching similarity and point distance matching similarity of the facial radial curves to be used as general similarity for recognition. The three-dimensional facial recognition method provided by the invention has a very good recognition capacity, and has better robustness to expressions, blocking and noises.

Description

technical field [0001] The invention belongs to the field of three-dimensional face recognition, and relates to a three-dimensional face recognition method based on facial curve elastic matching. Background technique [0002] Biometric recognition has important applications in the field of security, especially compared with fingerprint recognition, iris recognition and other biometric recognition technologies, face recognition has the characteristics of non-contact and good concealment, and has become the current trend in the field of pattern recognition and computer vision. Research hotspots. Traditional two-dimensional face recognition based on two-dimensional grayscale or color images has achieved better recognition performance, but it is still susceptible to factors such as lighting, posture, makeup, etc., and three-dimensional face data contains more than two-dimensional face data. information, and will not be affected by posture and illumination, so 3D face recognitio...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
Inventor 达飞鹏潘仁林陶海跻刘健郭涛陈璋雯
Owner SOUTHEAST UNIV
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