A Face Recognition Detection Method Based on Hybrid Attention Mechanism

A face recognition and detection method technology, applied in the field of image processing, can solve the problems of positioning error, difficulty in extracting effective feature information, missed target detection, etc., to achieve the effect of enhancing representation ability, improving accuracy, and improving detection accuracy

Active Publication Date: 2021-03-02
北京电信易通信息技术股份有限公司
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Problems solved by technology

[0004] In the complex detection task of face recognition and detection, the huge difference in individual feature information and the changing visual detection area make it difficult for the existing deep neural network of face recognition and detection to extract effective feature information, resulting in missed detection and positioning of targets. Therefore, it is extremely important to effectively capture the key recognition features of human face targets

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  • A Face Recognition Detection Method Based on Hybrid Attention Mechanism
  • A Face Recognition Detection Method Based on Hybrid Attention Mechanism
  • A Face Recognition Detection Method Based on Hybrid Attention Mechanism

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Embodiment Construction

[0052] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0053] The terminology used in the present disclosure is for the purpose of describing particular embodiments only, and is not intended to limit the present disclosure. As used in this disclosure and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood...

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Abstract

The invention provides a face recognition and detection method based on a mixed attention mechanism, comprising: constructing a face target image data set; using the training set and verification set of the human face target image data set to train a designed deep neural network model ; Use the test set in the human face target image dataset for the trained deep neural network model to detect human face targets in images. The present invention adopts the mixed attention module to extract key detection features, transfers the key features to the following layers, and improves the detection accuracy; establishes a Faster RCNN network based on FPN, uses multi-scale feature fusion technology to extract rich detailed information, and enhances the network Representation ability of face features; build and embed SENet attention module into FPN, which helps the network to filter redundant feature information, and transfer key features to RPN network, improving the detection accuracy of face recognition.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a face recognition detection method based on a mixed attention mechanism. Background technique [0002] With the rapid development of computer technology, biometric recognition has been widely studied as an independent research topic in the field of computer vision, and face recognition detection, as a branch of biometric recognition, has become a popular research direction. Face recognition detection refers to any given image, using a certain strategy to search it to determine whether it contains one or more faces, and if so, return the detection task of the location of the face (Wang Feilong. A review of face recognition technology and its security [J]. Information Recording Materials, 2018, 19(12): 229-230.); This technology has been widely used in many fields such as image search, identity authentication and security protection Application (Yan Chen. Research and ve...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/161G06V40/168G06N3/045G06F18/213G06F18/214G06F18/24
Inventor 刘晨杨涛
Owner 北京电信易通信息技术股份有限公司
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