Face key point detection method and device and electronic equipment

Abstract

The invention discloses a face key point detection method and device and electronic equipment, and relates to the technical field of computer vision. According to the specific implementation scheme, the method comprises the steps of obtaining a to-be-detected face image, and extracting detection key point information of the to-be-detected face image; obtaining template key point information of thetemplate face image; determining a face key point mapping relationship between the to-be-detected face image and the template face image in combination with the detection key point information and the template key point information; and screening the detection key point information according to the face key point mapping relationship and the template key point information to generate target key point information of the to-be-detected face image, the target face key point in the target key point information being a face key point of an unshielded area in the to-be-detected face image. Therefore, the target key point information of the unshielded area in the to-be-detected face image can be accurately recognized without additional manual annotation, the cost is saved, and the consumed timeis short.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to the technical field of computer vision, and in particular to a face key point detection method, device and electronic equipment. Background technique [0002] With the development of deep learning technology and the rapid improvement of computer computing power, the fields of artificial intelligence, computer vision, and image processing are developing rapidly. Among them, face recognition technology, as a classic topic in the field of computer vision, has great research potential and Value. Face recognition technology can detect the key points of the face in the face image, such as the key points corresponding to the eyes and mouth, and then perform face recognition based on the detected key points of the face. The current face key point detection technology usually realizes the key point detection function of any face image by establishing a deep neural netw...

AI Technical Summary

Problems solved by technology

The current face key point detection technology usually realizes the key point detection function of any face image by establishing a deep neural network model and learning the distribution statistical characteristics of face key points through the deep neural network learning model, but when a part of the face is occluded When , the distribution statistical features of face key points will be disturbed or even destroyed, resulting in the inability to accurately detect face key points

[0003] In related technologies, the face key points in images containing occluded faces are usually detected by supervised learning methods. This method enables the detection algorithm to identify each key point by adding additional labels to the training set whether the occluded key points Whether the point is occluded, and then effectively identify the occluded key points, but this method requires additional manual labeling, which is costly, time-consuming, and poor in accuracy

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