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Face attribute recognition method and device

An attribute recognition and attribute technology, applied in the field of face recognition, can solve the problems of recognition type and recognition accuracy defects, and achieve the effect of fast and accurate recognition

Active Publication Date: 2017-10-13
智慧眼科技股份有限公司
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AI Technical Summary

Problems solved by technology

[0008] The present invention provides a face attribute recognition method and device to solve the technical problems of defects existing in the recognition type and recognition accuracy of the existing face attribute detection technology

Method used

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

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Embodiment Construction

[0056] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0057] refer to figure 1 , the preferred embodiment of the present invention provides a kind of facial attribute recognition method, comprises steps:

[0058] Step S100, using the deep residual network to train the face attributes of the collected face images to obtain a multi-attribute network training model with various face attribute features.

[0059] Since different face attributes are correlated with each other, a deep residual network is used to train all face attributes of the collected face images, and a multi-attribute network training model with various face attribute features is obtained. In machine learning, training is to use labeled face images to train a machine learning model...

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Abstract

The invention discloses a face attribute recognition method and device. A depth residual network is used to train the attribute of a collected face image, and a multi-attribute network training model with multiple face attributes is obtained. The obtained multi-attribute network training model is used to carry out multi-attribute detection on the face attribute of an image to be identified so as to identify the multiple face attributes in the image to be identified. The invention provides the face attribute recognition method and device, the depth residual network is used to train the attribute of the collected face image, the multi-attribute detection of the face attribute of the image to be identified is carried out according to the multi-attribute network training model obtained through specific task training, since a multi-attribute network model can extract a face characteristic with strong expressive ability, the multiple face attributes in the face image can be rapidly and accurately identified.

Description

technical field [0001] The present invention relates to the technical field of face recognition, in particular, to a face attribute recognition method and device. Background technique [0002] Face attribute recognition technology is to obtain attribute information such as age and gender of the face image by detecting the face image. In today's life, safety issues have become the focus of everyone's attention. Obtaining attributes such as age and gender of pedestrians through surveillance video can better assist judicial officers in matching the characteristics of suspects and assisting in handling cases. For shopping websites, after the computer system automatically analyzes the age and gender attributes of shoppers, it can automatically recommend products that match their identities to consumers. In addition, application software including face image attribute recognition technology also has stronger entertainment features. [0003] Most of the early face attribute dete...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/16G06F18/214
Inventor 杨光磊杨东王栋
Owner 智慧眼科技股份有限公司
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