Facial expression action unit adversarial synthesis method based on local attention model

An attention model, facial expression technology, applied in the field of computer vision and affective computing, can solve the problems of loss of details, complexity, lack of authenticity, etc., to achieve the effect of improving accuracy
CN110458003APending Publication Date: 2019-11-15TIANJIN UNIV
3 Cites 6 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
TIANJIN UNIV
Publication Date
2019-11-15

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention relates to the fields of computer vision, emotion calculation and the like. In order to improve the diversity and the universality of an AU expression data set are improved, a technicalscheme adopted by the invnetion includes a facial expression action unit adversarial synthesis method based on a local attention model, and the method comprises the steps: carrying out the feature extraction of a facial motion unit AU region through the local attention model, carrying out the adversarial generation of a local region, and finally carrying out the AU intensity evaluation of enhanceddata, so as to detect the quality of a generated image. The method is mainly applied to occasions such as image processing and face recognition.
Need to check novelty before this filing date? Find Prior Art

Description

Technical field:

[0001] The present invention relates to the fields of computer vision and affective computing, and in particular to a method for synthesizing human facial expression motion units based on the combination of Conditional Adversarial Autoencoder (CAAE) and Local Attention Model (Local AttentionModel). It can be widely used in applications such as data enhancement and improving the accuracy of facial expression recognition models. Background technique:

[0002] Facial expressions can reveal people's inner activities, mental state, and social behaviors that are communicated outwards. With the development of artificial intelligence, human-centered facial expression recognition has gradually attracted widespread attention in the industry and academia. In the field of facial expression analysis, there are two main ways to label human expressions: labeling based on emotional categories (such as joy, anger, etc.) and labeling based on the Facial Action Coding System ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More