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Face age estimation method and device based on deep learning

A deep learning and face area technology, applied in computing, computer components, instruments, etc., can solve the problems of difficult age estimation of face images, and achieve the effect of saving training time, reducing complexity, and speeding up training

Inactive Publication Date: 2018-01-23
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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  • Abstract
  • Description
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Problems solved by technology

Therefore, age estimation of face images is still a difficult problem

Method used

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  • Face age estimation method and device based on deep learning
  • Face age estimation method and device based on deep learning
  • Face age estimation method and device based on deep learning

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Embodiment Construction

[0044] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0045] Such as figure 1 As shown, the deep learning-based face age estimation device disclosed in the present invention includes a face recognition module, a preprocessing module, and a face age estimation module.

[0046] The face recognition module is used to identify the face area image from the input image;

[0047] The preprocessing module is used to preprocess the recognized face area image, and adjust the face area image to the face area image of the frontal face pose;

[0048] The face age estimation module is used to input the preprocessed face area image into the convolutional neural network model, and output the face age estimation result.

[0049] Such as Figure 5 As shown, the face age estimation method based on deep learning of the present invention includes:

[0050] S1: According to the input image, use the face detection ...

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Abstract

The invention discloses a face age estimation method and a device based on deep learning. The device comprises a face recognition module, a preprocessing module and a human face age estimation module.The face recognition module is used for recognizing a face region image from an input image. The preprocessing module is used for preprocessing the face region image, and adjusting the face area image to be a face area image of a front face posture. The human face age estimation module is used for inputting the preprocessed face region image into a convolution neural network model and outputtinga face age estimation result. According to the method and the device, the convolution neural network model is established and the human face age estimation can be achieved. The estimation result is more accurate.

Description

technical field [0001] The invention relates to a face age estimation method and device based on deep learning, belonging to the technical fields of image processing and computer vision. Background technique [0002] With the development of human-computer interaction, intelligent commerce and social security, the research on face attributes has attracted more and more attention. As one of the most important attributes, age has become a research hotspot in the field of image processing. The automatic face age estimation system is an important basis for realizing emotional computing and artificial intelligence, and has broad application prospects. The system has important application value in human-computer interaction, police investigation, image retrieval, intelligent monitoring and other fields. With the improvement of face detection algorithm and the innovation of feature extraction technology, the effect of face age estimation is obviously better than before. But there...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04
Inventor 邹建成邓豪
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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