A face recognition method based on dynamic and static feature fusion

A face recognition and feature fusion technology, applied in the field of face recognition, can solve the problem of low accuracy of face recognition, and achieve the effect of increasing reliability, improving accuracy and improving production efficiency

Active Publication Date: 2021-07-13
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0005] The present invention provides a face recognition method based on the fusion of dynamic and static features. Through the two parts of static features and dynamic features, the global contour and local dynamic features are combined, which can greatly improve the face recognition accuracy without affecting the recognition speed. Solved the problem of low accuracy of face recognition

Method used

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  • A face recognition method based on dynamic and static feature fusion
  • A face recognition method based on dynamic and static feature fusion
  • A face recognition method based on dynamic and static feature fusion

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Embodiment Construction

[0032] The present invention is described in further detail now in conjunction with accompanying drawing. These drawings are all simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.

[0033] The muscle movement characteristics of the human body are directly related to people's long-term exercise accumulation, and have obvious individual characteristics. Muscle characteristics are the characteristics formed by people's long-term habits, which are not easy to imitate and have obvious characteristics.

[0034] The present invention provides a face recognition method based on the fusion of dynamic and static features, and realizes the improvement of face recognition accuracy through the method of combining static features and dynamic features;

[0035] As a further preference of the present invention, the aforementioned static feature is to ext...

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Abstract

The invention discloses a face recognition method based on fusion of dynamic and static features, especially a face recognition method based on comprehensive static features and dynamic features; static features focus on global contours, and face image features are regarded as high-dimensional features, through Linear and nonlinear transformations are mapped to low-dimensional subspaces, so that the features of the original sample are obtained in the low-dimensional space for classification. Dynamic features focus on local changes, mainly based on facial expressions, such as smiles, depression, etc., by extracting The dynamic features of facial muscle changes can obtain a set of feature functions of muscle changes and time, so as to perform accurate identification and classification, and improve the accuracy of face recognition.

Description

technical field [0001] The invention relates to a face recognition method based on fusion of dynamic and static features, belonging to the technical field of face recognition. Background technique [0002] At present, traditional identification methods have the risks of being inconvenient to carry, easy to lose, easy to damage, and easy to be cracked or stolen. Therefore, face recognition has received extensive attention. Because of its strong stability, concealment and individual differences, the security has been guaranteed, and the application fields have become more and more extensive, such as security, civil, military and other fields. As a typical application of biometric identification, face recognition has broad prospects in the fields of national defense, finance, justice, and commerce, and has received close attention and recognition from the society. At the same time, the accuracy of face recognition has also become an important factor restricting the development...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/172G06V40/168
Inventor 帅立国秦博豪陈慧玲王旭张志胜
Owner SOUTHEAST UNIV
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