Image quality detection method, device and equipment

Abstract

The invention discloses an image quality detection method, device and equipment. The method comprises the following steps of: extracting image features from training samples so as to determine featurescores of the image features; training an image quality scoring model on the basis of the feature scores; and extracting an image feature from a to-be-detected image, so as to determine an image quality score of the to-be-detected image according to the image feature of the to-be-detected image and the image quality scoring model, wherein when the image quality scoring model is trained, originalimages acquired under different environments and extended images obtained through processing the original images are taken as the training samples. According to the method, feature scores (not artificially marked scores) are determined according to image features of images, and models are trained on the basis of the feature scores, so that image quality scores detected by the models are more objective, visual and correct, the operation speed of scoring carried out through computers is considerably higher than that of manual annotation, and the processing cost of the training samples can be reduced.

Description

technical field [0001] The present application relates to the field of information technology, in particular to an image quality detection method, device and equipment, and a face recognition method, device and equipment. Background technique [0002] At present, face recognition technology is more and more widely used, but one of the factors restricting the recognition accuracy is the image quality of the image to be recognized. Due to the complexity of actual application scenarios, the image quality of images captured by the same camera may vary in different scenarios. At present, the image quality is often marked manually, which is too subjective and cannot truly reflect the essential characteristics of the image. Quality ratings are inaccurate and costly. [0003] And, in the prior art, when performing face recognition on a target appearing in video surveillance, since the target enters the video frame until the target leaves the video frame, usually each frame contains...

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Problems solved by technology

[0006] The embodiment of this specification provides an image quality detection method and device, which are used to solve the problem of low face recognition efficiency and high resource consumption due to the lack of means to determine the image quality of the image to be recognized when the face recognition technology is actually applied. question

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