Face image age judgment method and device, computer equipment and memory medium

A face image and age technology, applied to computer parts, calculations, instruments, etc., can solve problems such as large influence, large difference, learning, etc., and achieve the effect of not being easily affected by the environment and high stability

Inactive Publication Date: 2018-11-02
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology allows users trained on their own computer networks (the Neural Network) to predict how likely someone will be looking at something differently based upon factors like location or lighting conditions. It uses an ensemble method called Uniform Thermal Processor Analysis ("UTPA") which involves analyzing images from various locations around them under specific environmental settings such as temperature. By comparing these temperatures against predetermined thresholds, it can determine if there was any difference between two scenarios - one where individuals were facing outdoor sunlight while another scenario had indoor lights illuminated during daytime hours. These differences indicate who would look up too much over time compared to what people actually see outside.

Problems solved by technology

This patented technical problem addressed in the current study relates to improving the performance of face identification systems used on faces like cars due to their ability to accurately recognize them over time. However, previous methods were limited because they resulted in similar appearances between identically captured photos compared against each other's versions.

Method used

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  • Face image age judgment method and device, computer equipment and memory medium
  • Face image age judgment method and device, computer equipment and memory medium
  • Face image age judgment method and device, computer equipment and memory medium

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Embodiment Construction

[0074] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0075] In some processes described in the specification and claims of the present invention and the above-mentioned drawings, a plurality of operations appearing in a specific order are contained, but it should be clearly understood that these operations may not be performed in the order in which they appear herein Execution or parallel execution, the serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. Additionally, these processes can include more or fewer operations, and these operations can be performed sequentially or in parallel. It should be n...

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Abstract

The embodiment of the invention discloses a face image age judgment method and device, computer equipment and a memory medium. The method comprises the following steps of obtaining to-be-judged face images; inputting the face images into a preset neural network model; and carrying out age classification on the face image according to classification data output by the neural network model. When theneural network model for carrying out face age judgment is trained, uniform expectation processing is carried out on the images of the same person photographed in different space environments, so a plurality of age expectations of different images of the same person are obtained; the age expectations are ranked and a median in a ranking result is taken out; and the age expectations of the different images of the same person in a training sample set are the same, so according to the neural network model trained and converged through utilization of the images, the age score output stability forthe same person in the different environments is high, and an age score is not liable to be influenced by the environments.

Description

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Claims

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Application Information

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Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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