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Method for recognizing face expressions

A technology of facial expression and recognition method, which is applied in the field of face recognition, can solve the problem that the real-time computing system cannot support the calculation amount of the algorithm, and achieve the effect of improving description ability, expression ability and accuracy rate

Inactive Publication Date: 2018-11-16
BEIJING NORMAL UNIVERSITY
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Problems solved by technology

However, the amount of existing sample data is difficult to meet the requirements of this type of algorithm, and real-time computing systems, especially mobile devices, cannot support the amount of computing required by the algorithm.

Method used

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  • Method for recognizing face expressions
  • Method for recognizing face expressions

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Embodiment Construction

[0045] The specific implementation of the identification method of the present invention will be further described in detail below in conjunction with the drawings in the description.

[0046] Such as figure 1 and figure 2 As shown, the identification method of the present invention specifically includes the following steps:

[0047] Step 1: For each image in the facial expression dataset, detect the face and feature points in the image:

[0048] Step 1.1 For each image in the facial expression training data set, detect the face in the image and realize the feature point alignment. In order to accurately detect the exact position of different face feature points, it is necessary to use the manually marked feature points in the sample face to average The position of the face feature points is optimized for regression calculation, and the optimization function is defined as the following formula (1):

[0049]

[0050] in Represents the feature points of the average huma...

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Abstract

The invention relates to a method for recognizing face expressions, which specifically comprises the steps of 1, in allusion to each image in a face expression data set, detecting a face and feature points in the image; 2, on the basis of the step 1, generating a feature vector of each feature point local area on the face image, and calculating expression features based on the face feature points;3, calculating a face expression feature vector; 4, performing dimension reduction by using a self-coding neural network method on the basis of the step 3; 5, calculating to obtain a nonlinear high-dimensional classification model; 6, constructing a novel low-dimensional shape feature descriptor according to the method from the step 1 to the step 4 when a user inputs a face video; and 7, comparing the face image feature descriptor of the input video with the classification model so as to determine probability values of the face expression image in different classifications. The method has thebeneficial effects that the expression feature description ability is improved, and the accuracy of expression recognition is improved.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a method for recognizing facial expressions. Background technique [0002] Facial expressions are expressed through the shape changes of different parts of the face, and then express various emotional states and convey different emotions. It has a very broad application prospect to analyze and recognize facial expressions by using image geometric shape changes. [0003] Facial expression recognition can be applied to personalized customization, judge the emotional state according to the user's facial expression recognition, and then recommend various services that meet the user's needs, including entertainment content recommendation, life service information recommendation, etc.; can be applied to online learning, Judging the user's interest in the learning content according to the expression change, automatically evaluating and adjusting the learning content, and guidi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/171G06V40/174
Inventor 樊亚春税午阳宋毅
Owner BEIJING NORMAL UNIVERSITY
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