Face recognition processing method, face recognition processing device and mobile terminal

A face recognition and processing method technology, applied in the field of face recognition processing methods, devices and mobile terminals, can solve the problems of poor face recognition performance, insufficient computing power and storage space to carry face recognition algorithms, etc., to achieve improved Robustness and accuracy, efficient processing speed, effects of improving processing efficiency and user experience

CN106991364AActive Publication Date: 2017-07-28BANMA ZHIXING NETWORK HONGKONG CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2017-07-28

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Abstract

The invention provides a face recognition processing method and a face recognition processing device, wherein the method comprises the steps of determining attitude adaptation key points which correspond with a face image; performing convolution processing on the face image by means of a trained convolutional network, wherein the number of various layers in the network structure matches a processing resource of terminal equipment, and the parameter of the various layers has attitude robustness; performing attitude robustness processing on a first characteristic graph which is output from a first node in the convolutional network according to the attitude adaptation key points, generating a second characteristic graph with attitude robustness response, and transmitting the second characteristic graph to the convolutional network through a second node which is adjacent with the first node, thereby extracting face characteristics which correspond with the face image. The face recognition processing method, the face recognition processing device and the mobile terminal have advantages of realizing high processing speed of a small system, improving robustness and accuracy in face recognition, and improving processing efficiency and user experience.
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Description

technical field

[0001] The present application relates to the technical field of image processing, and in particular to a face recognition processing method, device and mobile terminal. Background technique

[0002] With the development of portable terminal devices, many devices support the face recognition function. Taking mobile phones as an example: applications such as unlocking mobile phones through face recognition.

[0003] The current face recognition method with the highest recognition accuracy is a deep convolutional network. Different from traditional face recognition methods, deep convolutional networks have more layers. This multi-level structure can better express complex patterns and distributions in data, and can extract more robust and discriminative face features.

[0004] However, the amount of computation and memory consumption of the deep convolutional network is much higher than that of the traditional method, generally more than 10 times, so the face ...

Examples

Embodiment Construction

[0031] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary, and are intended to explain the present application, and should not be construed as limiting the present application.

[0032] The face recognition processing method and device according to the embodiments of the present application will be described below with reference to the accompanying drawings.

[0033] figure 1 It is a flow chart of a face recognition processing method according to an embodiment of the present application.

[0034] Such as figure 1 As shown, the face recognition processing method includes:

[0035] Step 101, receiving a human face image to be processed, and determining pose adaptation key points corresponding to the...