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A Synchronous Recognition Method of Face Identity and Expression

A recognition method and expression technology, applied in the field of face recognition, which can solve the problems of inability to achieve recognition effect and insufficient synchronous recognition.

Inactive Publication Date: 2011-12-07
南京宇音力新电子科技有限公司
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  • Abstract
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Problems solved by technology

But so far, the research on the method of simultaneous recognition between the two is not deep enough, and the ideal recognition effect cannot be achieved.

Method used

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  • A Synchronous Recognition Method of Face Identity and Expression
  • A Synchronous Recognition Method of Face Identity and Expression
  • A Synchronous Recognition Method of Face Identity and Expression

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Embodiment Construction

[0045] The technical solutions of the present invention will be further elaborated below with reference to the accompanying drawings and embodiments.

[0046] figure 1 A system frame diagram representing the method of simultaneous recognition of face identity and expression. The synchronization identification method can be accomplished through the following three steps.

[0047] 1. Facial feature extraction

[0048] Facial features consist of two parts. One part is the facial geometric feature, and the other part is the Gabor wavelet feature. Among them, the geometric features are composed of the coordinates of some key points of the face, which represent the local information of the face. The Gabor feature is the feature obtained by applying the Gabor wavelet transform technology to wavelet transform the facial image, which contains both the local features of the human face and the global features of the human face image. In addition, a corresponding semantic feature vec...

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Abstract

The present invention proposes a method for synchronous recognition of face identity and expression. First, facial feature extraction is performed on each face image, and corresponding semantic features are defined for each image at the same time, and kernel principal component analysis (PCCA) is used for facial features. ) feature fusion method, so that the input image features have better recognition characteristics. On this basis, the partial least squares regression (PLsR) method is used to establish the relationship model between facial features and semantic features, and this model is used to recognize the expression and identity of the face image to be recognized. Experiments show that the method proposed by the invention can not only realize the simultaneous recognition of human face and expression, but also improve the recognition rate of human facial expression recognition.

Description

technical field [0001] The invention relates to a face recognition method, in particular to a synchronous recognition method of face identity and expression. Background technique [0002] Facial images contain rich information, and through facial images, not only people's identity, but also their facial expressions can be recognized. At present, facial expression recognition and identity recognition have become two hot research issues in the fields of computer vision and pattern recognition. The main goal of facial expression recognition is to extract the main features that can reflect emotional categories from facial images, and then perform expression classification and recognition on this basis. Most traditional facial expression recognition methods classify facial images into one of seven basic expression types (happy, sad, surprised, angry, disgusted, scared, neutral). Similar to the facial expression recognition method, the goal of face recognition is to match an unk...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
Inventor 邹采荣周晓彦赵力郑文明魏昕
Owner 南京宇音力新电子科技有限公司
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