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Intelligent face recognition method

A technology for face recognition and intelligent people, applied in the field of intelligent face recognition, can solve the problems of lack of modeling learning for posture changes, inability to restore facial expressions, visual effect defects, etc.

Active Publication Date: 2021-05-14
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

The existing face "recognition after rotation" algorithm has obvious defects in the visual effect of generated pictures, or cannot restore intense expressions, or lacks modeling learning for vertical posture changes, and even Luan et al. Eliminate the interference of expression information during the rotation process, and return the faces with various expressions to positive and neutral expressions.

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Embodiment Construction

[0060] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0061] This embodiment discloses a kind of intelligent face recognition method, and its specific situation is as follows:

[0062] 1) Face detection: The source pose face image with the face as the main content is intercepted from the original image.

[0063] Face detection uses a multi-task convolutional neural network (MTCNN) to preprocess face data, and extract partial pictures with human faces as the main content from original pictures in various practical application fields.

[0064] MTCNN combines the face area detection task and key point alignment task of any pose into an integrated learning task, and uses cascaded CNNs to sequentially learn image pyramids of different resolutions. The model inputs the original image, and outputs the bounding box of the face are...

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Abstract

The invention discloses an intelligent face recognition method, which comprises the following steps of: 1) face detection: intercepting a source posture face picture taking a human face as a main content from an original picture; 2) face alignment: identifying and positioning face key points in the source posture face picture; 3) face posture rotation: according to the source posture face picture and the selected posture, retaining identity information and expression information of the source posture face picture and the selected posture, and generating a target posture face picture; and 4) face expression and identity recognition: combining the source posture face picture and the target posture face picture, and judging the expression and identity of the face in the picture. The end-to-end recognition method is established by combining three innovation points, namely an attention mechanism, a generative adversarial network and ensemble learning, so that the limitation of extreme postures is broken through; the synthesized front picture is used for face identity and expression recognition without constraint conditions, the accuracy and robustness are improved, and therefore, the method has wide application prospects in the face recognition field.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to an intelligent face recognition method. Background technique [0002] Face-related visual tasks are an important field of computer vision applications, and great progress has been made with the help of deep learning. However, complex factors such as multiple perspectives, expressions, lighting, and occlusions in real application scenarios seriously restrict the performance of vision algorithms, among which attitude changes have the most serious performance degradation. The "recognition after rotation" strategy proposed here, that is, the recognition after the face is rotated to the front, is one of the mainstream methods to solve the problem of face pose. see figure 1 , the general process of face "recognition after rotation" can be summarized as face detection, face alignment, face pose rotation, and face recognition. [0003] Face detection: that is, to extract a pa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06N3/04G06N3/08G06F21/32
CPCG06N3/08G06F21/32G06V40/171G06V10/462G06N3/045Y02D10/00
Inventor 李弘肖南峰
Owner SOUTH CHINA UNIV OF TECH
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