Method and system for forming facial expression intensity calculation model

A facial expression, intensity calculation technology, applied in the field of image processing, can solve the problem of not being able to know the intensity of expression classification

Inactive Publication Date: 2020-08-25
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is that, in view of the technical defect that the above-mentioned current method can only roughly classify expressions, and cannot know the specific intensity under the expression classification, a method and system for forming a facial expression intensity calculation model are provided

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  • Method and system for forming facial expression intensity calculation model

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[0031] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0032] Such as figure 1 As shown, it is a flow chart of an embodiment of the method for forming a facial expression intensity calculation model of the present invention. In the method for forming the facial expression intensity calculation model of the present embodiment, the facial expression intensity calculation model is used to estimate the facial expression intensity under the expression classification, comprising the following steps:

[0033] S1. Obtain an expression database including facial parts for training, and the database includes a database with facial expression intensity labels and a database without facial expression intensity labels. In this embodiment, the expression database is composed of UNBC-McMa...

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Abstract

A method and system for forming a facial expression intensity calculation model. The model is used to estimate the facial expression intensity under expression classification. First, an expression database is obtained, image data in the expression database are preprocessed, and facial part data is extracted. The feature extraction of the three modes of facial geometric features, local binary mode and Gabor wavelet transform is carried out respectively, and the data output in the previous step are trained by using the fully supervised mode, semi-supervised mode and unsupervised mode respectively, and the features and facial expression strength are obtained The data formed after training are respectively used as the input of the ordinal random forest algorithm for training, and the facial expression intensity calculation sub-models are respectively obtained, and the final facial expression intensity calculation model is formed according to each sub-model. The invention utilizes the database to train the facial expression intensity calculation model under the expression classification, and uses the model to process the image data to obtain the intensity under the trained expression classification.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to facial expression processing, and more specifically, to a method and system for forming a facial expression intensity calculation model. Background technique [0002] With the advancement of image processing technology, there are many methods that can recognize facial expressions based on the collected facial images, and classify the expressions: such as divided into happy, sad and intermediate states, and then divided into excited, calm, or Divided into doubts, fears, sadness, surprise and so on. There are many ways to classify, but currently these methods can only roughly classify expressions, and cannot know the specific intensity of the expression classification, such as how happy, how sad, etc., that is, the expression strength is not estimated based on expression recognition. Contents of the invention [0003] The technical problem to be solved by the present inve...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/168G06V40/172G06V40/174G06V10/44G06V10/467G06V10/462G06F18/2155G06F18/24323G06F18/214
Inventor 杨林权谷俊允
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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