Face image processing method based on intelligent man-machine interaction
A face image and human-computer interaction technology, applied in the field of face image processing, can solve problems such as recognition errors and achieve the effect of reducing selection errors
Pending Publication Date: 2020-07-17
BEIJING UNIV OF TECH
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[0007] Based on the above analysis, it can be seen that the above three methods are respectively aimed at one direction in face recognition, so there are defects in individual applications that lead to recognition errors.
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[0032] now attached figure 2 The model block diagram and implementation examples in the present invention further describe in detail a method for processing face images based on intelligent human-computer interaction.
[0033]A method of face image processing based on intelligent human-computer interaction of the present invention is a method of face image processing through real-time collection of face images and video information, face point detection, expression recognition, and visual tracking. method. The overall work framework of this invention applied to the field of face recognition is described as follows: firstly, the face is captured, the key points of the face are located through the three-layer convolutional neural network, and the end-to-end deep learning model is used to recognize the facial expression. Use different gestures and expressions to achieve face image synthesis and expression recognition, and use image gradients to locate the center of the eyes to ...
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The invention discloses a face image processing method based on intelligent man-machine interaction, and belongs to the field of artificial intelligence. Facial features related to user information are divided into overall facial features, expression features and visual tracking, and three-dimensional face information can be obtained through combined analysis of the three aspects. According to theinvention, the specific action in the facial features of the user is bound to the behavior information, and the human-computer interaction is realized through the facial feature information, so thatthe facial recognition point selection error is reduced. According to the invention, the captured face is subjected to face region analysis, the basic face features of the face are positioned, visualtracking is carried out on the eye regions, and the facial expressions are bound with the behavior information to realize human-computer interaction, so that the face recognition point selection erroris reduced, and the face recognition accuracy is improved.
Description
technical field [0001] The invention belongs to the field of artificial intelligence, and relates to the realization of a method for face image processing, specifically, a face point detection, expression recognition, and visual tracking through real-time collection of face images and video information to realize face image processing Methods. Background technique [0002] Human-computer interaction is the process of information exchange between people and systems. This process can exist in many different types of systems. The earliest method of human-computer interaction is realized through manual operation and input of machine language instructions. The medium of interaction is computer language. With the development of the graphics processing field, the human-computer interaction medium is gradually changing to a graphical interface, which makes the graphical interface have a better interactive experience, user interaction is more convenient, and more accurate informatio...
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IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/165G06N3/045
Inventor 涂山山张玙彤穆罕默德·瓦卡斯张振昊石岩张永继
Owner BEIJING UNIV OF TECH