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A facial expression recognition method

A technology of facial expression recognition and expression, applied in the field of human-computer interaction, can solve problems such as unsatisfactory classification results, and achieve the effect of improving fitness evaluation function, accuracy and speed

Inactive Publication Date: 2018-09-25
DONGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Although it plays a role in dimensionality reduction to a certain extent, the final classification results are often not ideal

Method used

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  • A facial expression recognition method
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Embodiment Construction

[0019] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art may make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0020] Embodiments of the present invention relate to a method for recognizing facial expressions, such as figure 1 As shown, it includes the following steps: preprocessing the face picture; performing feature extraction based on uniform LGBP on the preprocessed face picture, and establishing the significance of the picture feature; using the genetic algorithm to perform the first feature extraction on the picture feature ...

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Abstract

The invention relates to a facial expression recognition method, comprising the following steps: preprocessing a human face picture; performing feature extraction based on uniform LGBP on the preprocessed human face picture, and establishing the significance of the picture feature; using a genetic algorithm Perform the first feature selection on the picture features to obtain an excellent population; according to the obtained excellent population as the comparison value of the excellent population of each type of expression feature, to establish two new objective functions within the class and between the classes, the goal is Minimize the value of the intra-class function and maximize the value of the inter-class function, and use the Pareto optimization algorithm to optimize it; classify the facial features, after selecting the optimal features, use the random forest method to classify the features sort. The invention can improve the accuracy and speed of facial expression recognition.

Description

technical field [0001] The invention relates to the technical field of human-computer interaction, in particular to a method for recognizing facial expressions. Background technique [0002] Facial expression recognition is the process of processing facial expression information with machines and software, extracting its features and classifying them. Facial expression recognition is often used in the field of human-computer interaction. For example, facial expression recognition can provide home service robots with direct interaction with humans, and the robots can then use the information recognized from humans to carry out their actions. [0003] In the current research on facial expression recognition, the main feature extraction method is the classic "local Gabor binary model (LGBP)", which mainly uses Gabor wavelet to transform the image in different directions and scales, and then extracts it by LBP The relationship between each pixel and the surrounding pixels, and...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/172
Inventor 王佛伟沈波孙韶媛张似晶
Owner DONGHUA UNIV