Face emotion identifying method, apparatus and storage medium

Abstract

The invention discloses a face emotion identifying method. The method herein includes the following steps: acquiring a real-time image that is photographed by a camera apparatus, extracting one real-time face image from the real-time image by using a face identification algorithm; inputting the real-time face image to a first emotion classification model and a second emotion classification model that are well-trained in advance so as to perform emotion identification, obtaining a first probability and a second probability of each kind of emotions; based on the emotions and probabilities that are identified by using the first emotion classification model, the second emotion classification model, determining the emotion of the real-time face image. According to the invention, in combinationwith the output results of the two models, the method herein can identify the emotions of the face in the real-time image, and increases the accuracy of identifying face emotions. The invention also discloses an electronic apparatus and a computer readable storage medium.

Description

technical field [0001] The present invention relates to the technical field of computer vision processing, in particular to a facial emotion recognition method, device and computer-readable storage medium. Background technique [0002] In people's daily communication, 7% of information is transmitted through language, 38% through voice, and 55% through facial expressions. It can be seen that facial expressions are an important carrier of human communication and an important way of non-verbal communication. Other factors such as emotional state, mental state, and health state are closely related. Facial emotion recognition is an important part of human-computer interaction and affective computing research, involving psychology, sociology, anthropology, life science, cognitive science, computer science and other research fields. significance. [0003] With the continuous development of artificial intelligence technology and the continuous improvement of people's requirement...

AI Technical Summary

Problems solved by technology

[0004] The facial emotion recognition at the present stage generally collects a large number of emotional samples, organizes the samples, divides them into several categories, and trains an emotion recognition model for emotion recognition. However, this method recognizes in a single way. However, a single The emotion recognition method cannot achieve the effect of accurately recognizing facial emotions, and the data obtained by a single method for emotion recognition is limited, and the judgment mechanism is single, so there are problems such as low recognition accuracy, large errors, and easy to be affected by external factors.

Images