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Face recognition method and device

A technology for face recognition and to-be-recognized, applied in the field of face recognition, which can solve problems such as limited differences in face feature identity, classification loss function does not have a large enough classification interval, and is not enough to ensure the accuracy of face recognition

Inactive Publication Date: 2019-09-03
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology

[0005] However, in the above scheme, the classification loss function does not have a large enough classification interval, which leads to limited identity differences of face features, which is not enough to ensure the accuracy of face recognition

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  • Face recognition method and device
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  • Face recognition method and device

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Embodiment Construction

[0035] Reference will now be made in detail to 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 invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0036] As mentioned above, although the classification loss function can correctly distinguish the face features of different classifications, it does not have a large enough classification interval, resulting in limited identity differences of face features, which is not enough to ensure the accuracy of face recognition. sex.

[0037] At present, the following two schemes are usually used to impro...

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Abstract

The invention discloses a face recognition method and device, and the method comprises the steps: carrying out the normalization constraint of the input parameters of a loss layer in a convolutional neural network model; inputting the constrained input parameters into the loss layer to obtain a cosine loss function applied to the loss layer; guiding the convolutional neural network model to perform model training according to the face image sample through a cosine loss function to obtain a face recognition model; and performing face recognition on a to-be-recognized face image according to theface recognition model. By adopting the face recognition method and device provided by the invention, the problem that the face recognition accuracy is not high enough due to the fact that the classification interval of the face features is not large enough in the prior art is solved.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a face recognition method and device. Background technique [0002] With the development of face recognition technology, face recognition is widely used, for example, face payment, video surveillance, access control authorization and so on. [0003] At present, face recognition is mainly based on the convolutional neural network model (Convolutional Neural Network, CNN), that is, the training of the convolutional neural network model is carried out through a large number of face image samples, so that the face images corresponding to different identities can be recognized. accurately identify. [0004] Since millions of face images correspond to different identities, it increases the difficulty of model training. Therefore, a model training scheme is proposed, which defines different identities through the classification activation function Softmax, making model trainin...

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/084G06V40/16G06N3/045
Inventor 王浩王一同季兴周正李志鋒
Owner TENCENT TECH (SHENZHEN) CO LTD
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