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Face image quality evaluation method and device, computer equipment and storage medium

A face image and quality assessment technology, applied in the field of image processing, can solve the problems of high cost of manual labeling, difficult standard of face image quality, low accuracy rate of picture quality labeling, etc., to achieve automatic acquisition and improve accuracy Effect

Active Publication Date: 2021-02-19
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology

[0004] However, in the above-mentioned scheme, since the standard of face image quality is difficult to be objectively quantified, the cost of manual labeling is relatively high, resulting in low accuracy of image quality labeling

Method used

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  • Face image quality evaluation method and device, computer equipment and storage medium
  • Face image quality evaluation method and device, computer equipment and storage medium
  • Face image quality evaluation method and device, computer equipment and storage medium

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Embodiment Construction

[0071] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0072] For ease of understanding, the terms involved in this application are explained below.

[0073] 1) Artificial Intelligence (AI)

[0074] Artificial intelligence is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge an...

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Abstract

The invention relates to a face image quality evaluation method and device, computer equipment and a storage medium and relates to the technical field of image processing. The method comprises the following steps of acquiring a target face image; obtaining a similarity distribution distance of the target face image; wherein the similarity distribution distance comprises the distribution distance between the similarity distribution of the same person and the similarity distribution of different persons; and obtaining the image quality of the target face image based on the similarity distribution distance of the target face image. Through the method, automatic acquisition of the image quality can be realized, and meanwhile, the image quality is comprehensively determined from two aspects ofthe same-person similarity and the different-person similarity so that accuracy of acquiring the image quality is improved.

Description

technical field [0001] The embodiment of the present application relates to the technical field of image processing, in particular to a method, device, computer equipment and storage medium for assessing the quality of a human face image. Background technique [0002] Face recognition is widely used in society, and the image quality used for face recognition affects the accuracy of face recognition. Therefore, face image quality assessment plays a very important role in the process of face recognition. [0003] In related technologies, the quality assessment of human face images is realized through the human face image quality assessment model. The purpose of quality assessment model training. [0004] However, in the above-mentioned scheme, since the standard of face image quality is difficult to objectively quantify, the cost of manual labeling is relatively high, resulting in low accuracy of picture quality labeling. Contents of the invention [0005] The embodiment o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/00
CPCG06T7/0002G06T2207/30201G06T2207/30168G06V40/161G06V40/168G06V10/993G06V10/443G06V40/172
Inventor 陈星宇张睿欣区富炤黄余格李绍欣
Owner TENCENT TECH (SHENZHEN) CO LTD
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