Image collecting method and its application

Abstract

The invention relates to a kind of method to collect images and its application. The method to collect the images includes: setting the camera and optical-reflect device in the pre-established place and with the pre-established angle; the camera collects the images of the shot objects in the optical-reflect device. The system to collect the images includes: the camera and the optical-reflect device. The method to recognize the faces of persons includes collecting the images and recognizing the persons' faces according the collected images, of which the progress to collect the images includes setting the camera and optical-reflect device in the pre-established place and with the pre-established angle; the camera collects the images that is reflected into the optical-reflect device by the check persons. The system to recognize the persons' faces includes camera, the optical-reflect device and the person-face recognizer which includes image-turning module. The invention enlarges the effective covering range of the image the camera can get with the optical-reflect device, and get the aim to improve the accuracy to recognize the faces of persons.

Description

technical field [0001] The present invention relates to the technical field of image processing applications, in particular to an image acquisition method and application. Background technique [0002] At present, image acquisition technology has been widely used, especially in the field of face recognition technology. [0003] Face recognition technology has the characteristics of directness, friendliness and convenience, and is easier to be accepted by users, so face recognition has become one of the most widely used technologies in current feature recognition. [0004] At present, the general process of face recognition is shown in Figure 1, including four main steps: face detection, eye positioning, feature extraction, and feature comparison / face comparison. [0005] At present, face recognition devices are mainly used in scenarios that require the cooperation of users, such as access control and assessment systems. Due to the specific use environment, users will active...

AI Technical Summary

Problems solved by technology

[0006] However, it is not easy for the human recognizer to work smoothly without the cooperation of the user, because in this case, the face recognizer cannot or is difficult to obtain the entire face, for example, at the airport or customs, criminals will Consciously avoiding the capture of the camera makes the face image captured by the camera incomplete, and the face recognizer cannot recognize the incomplete face image, so that the face recognizer cannot play its role to the maximum. The accuracy of face recognition is greatly reduced

[0007]In addition, in narrow and long spaces such as airports or customs inspection channels, even if criminals or inspected persons do not deliberately avoid the capture of the camera, due to the limitation of the physical location of the camera , which will cause the effective area and angle of the captured image to be relatively small, which will also greatly reduce the accuracy of face recognition.

[0008]In this case, it is possible to expand the effective area and angle of captured images by setting up multiple cameras, but this requires simultaneous output of multiple cameras As a result, the processing volume of the background processing server and the access volume of the face database are greatly increased, and the existing equipment cannot meet such requirements

At the same time, because the cost of the camera itself and the cost of replacing and upgrading the background equipment are relatively expensive, this method cannot be widely used.

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