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Method and apparatus for optimizing human face picture quality evaluation model

A technology for evaluating model and image quality, applied in the field of image analysis, it can solve the problems of not necessarily high recognition accuracy, low accuracy, and poor quality evaluation of face images, so as to overcome the impact of evaluation and achieve the effect of objective and accurate evaluation.

Active Publication Date: 2018-01-19
GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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Problems solved by technology

The accuracy of the existing face image quality evaluation methods in actual non-restricted application scenarios will be much lower than the accuracy in the experiment. The reason: the general face image quality evaluation method is to select face images subjectively Different features or properties of the image, such as the number of pixels in the unit image to evaluate the quality of the image
However, in practical application scenarios, the recognition accuracy of face pictures that conform to the human eye's subjective goodness in the face recognition algorithm is not necessarily high
Therefore, the existing face image quality evaluation model has a poor evaluation effect on the quality of face images.

Method used

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  • Method and apparatus for optimizing human face picture quality evaluation model
  • Method and apparatus for optimizing human face picture quality evaluation model

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Embodiment Construction

[0022] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0023] Although the steps in the present invention are arranged with labels, they are not used to limit the order of the steps. Unless the order of the steps is clearly stated or the execution of a step requires other steps as a basis, the relative order of the steps can be adjusted.

[0024] figure 1 Is a schematic flowchart of a method for optimizing a face image quality evaluation model of an embodiment; figure 1 As shown, the method for optimizing the face image quality evaluation model in this embodiment includes the steps:

[0025] S11: Establish a face picture test set, the test set inclu...

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Abstract

The invention relates to a method and an apparatus for optimizing a human face picture quality evaluation model. The method comprises the steps of establishing a human face picture test set; identifying the similarity between a to-be-tested human face picture and a sample human face picture in a preset human face database, and according to the similarity and picture identity information, obtainingan identification result of each to-be-tested human face picture; according to the identification result, determining a quality score of each to-be-tested human face picture; and performing neural network training by taking the to-be-tested human face pictures and the corresponding quality scores as training data to obtain optimized human face picture quality evaluation model and parameters. Through the human face picture quality evaluation model and the parameters, human face picture quality evaluation is not influenced by human subjective factors.

Description

Technical field [0001] The present invention relates to the technical field of image analysis, in particular to a method, a device, a storage medium and a computer device for optimizing a face image quality evaluation model. Background technique [0002] With the development of deep learning and face recognition technology, face recognition has been applied to more and more scenes to quickly identify a person's identity. The accuracy of existing face image quality evaluation methods in actual non-restrictive application scenarios is much lower than that in experiments. The reason: the general face image quality evaluation method is subjective selection of face images Different characteristics or attributes of the image, such as the number of pixels in a unit image to evaluate the quality of the image. However, in actual application scenarios, the recognition accuracy of a face image that conforms to the subjective view of the human eye in a face recognition algorithm is not nece...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/08G06T7/00
CPCG06N3/08G06T7/00
Inventor 陈全
Owner GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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