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Method for synchronously recognizing identities and expressions of human faces

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

Inactive Publication Date: 2010-01-06
南京宇音力新电子科技有限公司
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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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  • Method for synchronously recognizing identities and expressions of human faces
  • Method for synchronously recognizing identities and expressions of human faces
  • Method for synchronously recognizing identities and expressions of human faces

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Embodiment Construction

[0045] The technical solutions of the present invention will be further described below in conjunction with the drawings and embodiments.

[0046] figure 1 It shows the system frame diagram of the face identity and expression synchronous recognition method. The synchronization recognition method can be completed through the following three steps.

[0047] 1. Facial feature extraction

[0048] Facial features consist of two parts. One part is facial geometric features, and the other part is Gabor wavelet features. Among them, the geometric feature consists of the coordinates of some key points of the face, representing the local information of the face. The Gabor feature is the feature obtained by using the Gabor wavelet transform technology to perform wavelet transformation on the face image. It contains both the local features of the face and the global features of the face image. In addition, a corresponding semantic feature vector must be established for each image for...

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Abstract

The invention proposes a method for synchronously recognizing identities and expressions of human faces. The method comprises the steps of extracting facial features of each human-face image, defining corresponding semantic features for each image and adopting a feature fusion method of kernel principal component analysis (PCCA) for the facial features so as to enable input image features to have better recognition properties. On the basis, a model of the relation between the facial features and the semantic features is established by use of a partial least-squares regression (PLSR) method, and expression-identity recognition is performed on to-be-recognized human-face images by use of the model. Experiments show that the method proposed by the invention not only can synchronously recognize human faces and expressions, but also can improve the recognition rate of human-face expression recognition.

Description

technical field [0001] The invention relates to a face recognition method, in particular to a method for synchronous recognition of face identity and expression. Background technique [0002] Facial images contain a wealth of information, through which not only a person's identity can be identified, but also a person's facial expression can be identified. 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 the emotional category from facial images, and on this basis to classify and recognize expressions. 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...

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Application Information

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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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