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Face attribute recognition method based on multi-task deep learning

A deep learning and attribute recognition technology, applied in the field of face attribute recognition, can solve the problems of time-consuming and labor-intensive acquisition of label data, insufficient data, etc., and achieve the effect of reducing recognition time, improving accuracy and reducing data volume requirements

Active Publication Date: 2020-01-14
XIAMEN UNIV
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AI Technical Summary

Problems solved by technology

However, obtaining a large amount of labeled data is often very time-consuming and laborious. It is a key problem worth solving to explore the characteristics of using the deep network model to obtain different features layer by layer to solve the problem of insufficient data.

Method used

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  • Face attribute recognition method based on multi-task deep learning
  • Face attribute recognition method based on multi-task deep learning
  • Face attribute recognition method based on multi-task deep learning

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Embodiment Construction

[0051] The method of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0052] The present invention comprises the following steps:

[0053] S1. Prepare an image data set, which contains a large number of faces and corresponding face attribute labels. The face attribute database used in this example is the image dataset in the CelebrayA database, which contains more than 200,000 face images and 40 face attributes. Three representative face attribute tasks (K=3): face gender attribute, face smile attribute and face attractiveness attribute are used for illustration. The schematic diagram of the three properties is as follows figure 1 and 2 As shown, the label is set to y respectively 1 ,y 2 ,y 3 .

[0054] S2. Perform face detection on each image in the image data set one by one, and obtain the position of the face in each image. In this step, any existing face detection method may be used for face de...

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Abstract

A face attribute recognition method based on multi-task deep learning relates to face attribute recognition in computer vision. Prepare the image data set; perform face detection on each image in the image data set one by one; perform face key point detection on all detected faces; align each face according to the face for the detected face key points method, aligned to the standard face image to form a face image training set; calculate the average face image in the training set; construct a multi-task deep convolutional neural network, subtract each face image in the face image training set After removing the average face image, train the network parameters to obtain a convolutional neural network model; perform face detection and face key point detection on the test image to be recognized, and align the face in the image to the On the standard face image; subtract the average face image from the standard face image, and put it into the constructed convolutional neural network model for feed-forward operation, that is.

Description

technical field [0001] The invention relates to face attribute recognition in computer vision, in particular to a face attribute recognition method based on multi-task deep learning. Background technique [0002] The image-based face attribute recognition method is a process of judging the face attributes in the image by using pattern recognition technology according to a given input image. The face attributes contained in the face image mainly include: age, gender, expression, race, whether to wear glasses, whether to make up, etc. Using computer to automatically recognize face attributes can effectively improve the performance of human-computer interaction and has very important practical application value. The process of face attribute recognition includes: face detection technology, face image preprocessing technology, face feature extraction, face attribute classifier training and other steps. Among them, the performance of face feature extraction and face attribute c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/161G06V40/171G06V40/172G06F18/214G06F18/24
Inventor 严严陈日伟王菡子
Owner XIAMEN UNIV
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