Method and system for acquiring human face image

Abstract

The invention provides a method for acquiring a human face image. The method comprises the following steps of: acquiring a plurality of target area images of the same target area at different visual angles; detecting a plurality of human face areas from the plurality of target area images so as to acquire a plurality of human face images; and performing human face matching on the plurality of human face images according to a plurality of static clues among the plurality of human face images so as to form the human face image type of each human face. In addition, the invention also provides a corresponding system for acquiring the human face image. According to the invention, the plurality of target area images at the same time can be acquired and the human face images in the plurality of target area images can be matched by a simple and effective method so as to form the human face image type of each human face. Therefore, even under the condition that no user cooperates, more effective human face image input can be provided for subsequent application, such as human face identification and the like.

Description

technical field [0001] The present invention relates to the field of computer vision, and more particularly to a method and system for collecting human face images. Background technique [0002] Computer vision is an important research field in computer science, which aims to use computers to simulate the human visual system. Face detection technology and face recognition technology are two important branches in the field of computer vision. The main purpose of face detection technology is to locate the face from an image, that is, to determine whether there is a face imaging area in the image and to locate the face area or face image from the image. The main purpose of face recognition technology is to identify who these faces are, that is, link these positioned face images with people's identification (ID) to determine the identity of the person corresponding to the face image. [0003] Face detection technology has a wide range of applications, one of the most important...

AI Technical Summary

Problems solved by technology

However, in other occasions, such as public places, it is unrealistic to require the face to face the camera. Therefore, in this case, the face will have various poses

In this way, the accuracy of face detection will inevitably decrease, resulting in the difficulty of face collection.

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