Method, device, electronic equipment and storage medium for detecting key points of human face

A technology of face key points and detection methods, which is applied in the field of electronic equipment, storage media, devices, and face key point detection methods, and can solve the problems of low accuracy of face images

Active Publication Date: 2021-04-09
UNIV OF ELECTRONICS SCI & TECH OF CHINA ZHONGSHAN INST +1
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the embodiments of the present application is to provide a face key point detection method, device, electronic equipment and storage medium for improving the low accuracy of key point detection of face images

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  • Method, device, electronic equipment and storage medium for detecting key points of human face
  • Method, device, electronic equipment and storage medium for detecting key points of human face
  • Method, device, electronic equipment and storage medium for detecting key points of human face

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Embodiment Construction

[0028] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0029] Before introducing the face key point detection method provided by the embodiment of this application, some concepts involved in the embodiment of this application are first introduced:

[0030] Machine learning (Machine Learning, ML) refers to a branch of human learning behavior in the field of artificial intelligence; through induction, generalization, specialization, analogy and other basic methods to explore human cognition laws and learning processes, establish various The algorithm of experience automatic improvement enables the computer system to have the ability to automatically learn specific knowledge and skills.

[0031] Knowledge Distillation, also known as model distillation, dark knowledge extraction, distillation training or distillation learning, refer...

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Abstract

The present application provides a human face key point detection method, device, electronic equipment and storage medium, which are used to improve the problem of low accuracy of key point detection of human face images. The method includes: obtaining a plurality of face images and image annotations of each face image, where the image annotations are key points marked for contour shapes of sensory organs in the face images; generating mask labels according to the key points in each image annotation , to obtain multiple mask labels, which represent the probability that key points in the face image are occluded; multiple face images are used as training data, and multiple mask labels and images of multiple face images are labeled as training labels , train the mask branch and the key point branch in the key point detection network, and obtain the key point detection model after training, and the key point detection model is used to detect the key points of the face in the image.

Description

technical field [0001] The present application relates to the technical fields of machine learning, computer vision and image recognition, and in particular, to a face key point detection method, device, electronic equipment and storage medium. Background technique [0002] Face key point detection is a technology that automatically searches for defined face feature points in any image. The key points of the face here are specific such as: pupils, nose, and corners of the mouth; face key point detection in computer vision Face key point detection is a key step in the field of face recognition and analysis. [0003] At present, when the quality of the face image is very good, using the current face key point detection algorithm to detect the face key points in the image to be detected can obtain ideal results. However, in the specific practice process, it is found that there are different degrees of occlusion in the collected images to be detected, especially in many scenes ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V20/64G06V40/168G06V40/172
Inventor 黄燕挺冯子钜叶润源毛永雄董帅邹昆
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA ZHONGSHAN INST
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