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Three-dimensional face expression recognition method based on SSF-IL-CNN

A SSF-IL-CNN, three-dimensional face technology, applied in the field of three-dimensional facial expression recognition, can solve the problems of multiple interference information, insignificant changes in facial expressions, and the sensitivity of expression changes needs to be enhanced, and achieves high recognition rate. High discriminative and discriminative ability, the effect of comprehensive feature learning

Active Publication Date: 2019-08-30
SOUTHEAST UNIV
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Problems solved by technology

Second, the sensitivity of the loss function of the convolutional neural network to expression changes needs to be enhanced
However, since the changes in facial expressions are not significant and there is a lot of interference information, it is necessary to improve the loss function of the network for expression recognition tasks

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  • Three-dimensional face expression recognition method based on SSF-IL-CNN
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Embodiment Construction

[0034] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings:

[0035] The present invention is a three-dimensional facial expression recognition algorithm based on SSF-IL-CNN (Structure and Strength Filtered CNN based on Island Loss). Its purpose is to build a convolutional neural network suitable for three-dimensional facial expression samples to achieve efficient three-dimensional facial expression recognition. The implementation of this algorithm includes:

[0036] 1) First, build the structure of the SSF-IL-CNN model. Like other convolutional neural network (CNN) models, the SSF-IL-CNN model has modules such as convolutional layer, pooling layer, activation function, full link layer, and loss function. In particular, the SSF-IL-CNN model also has a feature fusion layer, so that the model can learn texture images and depth images corresponding to three-dimensional faces at the same time, and can...

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Abstract

The invention discloses a three-dimensional face expression recognition method based on an SSF-IL-CNN. According to the method, firstly, a convolutional neural network structure is improved, a convolutional kernel is disassembled into the structure parameters and the strength parameters, and the two parameters are enabled to respectively undertake the initialization and updating tasks, so that theconvolutional neural network originally needing a large number of samples for training can be applied to a three-dimensional facial expression library with a small sample scale. Meanwhile, accordingto the method, an Island Loss function is adopted to construct a loss function in the convolutional neural network, the sensitivity and the distinction degree of the network to the facial expressionsare enhanced, and the expression recognition effect is improved.

Description

Technical field [0001] The invention relates to a three-dimensional facial expression recognition method based on SSF-IL-CNN, which belongs to the field of three-dimensional image recognition in computer vision. Background technique [0002] The three-dimensional facial expression recognition technology refers to the technology of facial expression recognition based on the three-dimensional data of the human face. This technology has huge application potential in the fields of human-computer interaction and psychology research. Compared with two-dimensional data, the three-dimensional data of a face is not affected by factors such as light, posture, angle, etc., and contains richer geometric information and topological features. Therefore, the research on facial expression recognition based on three-dimensional face data has gained more attention in recent years. Widespread concern. Faced with complex and diverse application scenarios, it will become more difficult to generate ...

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V20/64G06V40/174G06N3/045Y02T10/40
Inventor 达飞鹏余璟
Owner SOUTHEAST UNIV
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