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Gesture detecting method for human face and application of gesture detecting method in human face identification

A detection method and face pose technology, applied in the field of face recognition, can solve problems such as unsuitable for real-time calculation and huge amount of calculation

Active Publication Date: 2013-08-28
XIAMEN UNIV
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AI Technical Summary

Problems solved by technology

Model-based methods generally judge the pose of the face by reconstructing the 3D model of the face. This type of method is characterized by relatively accurate but requires a huge amount of calculation, so it is not suitable for real-time calculation

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  • Gesture detecting method for human face and application of gesture detecting method in human face identification
  • Gesture detecting method for human face and application of gesture detecting method in human face identification

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Embodiment Construction

[0065] The following examples will further illustrate the method of the present invention. The present embodiment is implemented under the premise of the technical solution of the present invention, and the embodiment and specific operation process are provided, but the protection scope of the present invention is not limited to the following Example.

[0066] The present invention comprises the following steps:

[0067] S1. Prepare the training image set, and divide the images in the training set into three categories, which are the left pose image set, the front pose image set, and the right pose image set.

[0068] Specifically include:

[0069] (1) The selected face database includes three face poses, namely: left pose, front pose (face without deflection), and right pose.

[0070] (2) Select all objects containing three basic face poses in the face database, that is, each individual selected for training contains three basic face poses.

[0071] (3) Manually divide the...

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Abstract

The invention discloses a gesture detecting method for a human face and an application of the gesture detecting method in human face identification, and relates to human face identification. The method comprises the following steps: classifying images in a training set, calculating a gesture estimation filter group corresponding to three human face gestures according to HOG (Histograms of Oriented Gradients) characteristic of the training set; calculating an identifying filter group corresponding to three human face gestures through Gabor characteristic of the training set; and judging the gesture direction of the human face in the image according to HOG characteristic of a test picture and identifying by means of corresponding identifier filer group. The human face gesture is divided into three types: a left gesture human face, a front gesture human face and a right gesture human face. HOG and Gabor characteristics of the three human face gestures are respectively extracted. Noise and dimension are reduced for HOG and Gabor characteristics of the three human face gestures by PCA (Principal Component Analysis) respectively. The contour information of each type of human face is extracted. The HOG characteristic of the test image is extracted and the gesture direction of the human face is judged by the information. The test image is identified by corresponding Gabor filter group according to the gesture direction of the tested human face.

Description

technical field [0001] The invention relates to a human face recognition, in particular to a correlation filter-based detection method of a human face gesture and its application in human face recognition. Background technique [0002] Computer vision technology began in the 1960s. It can be roughly divided into detection, tracking, and recognition. In recent decades, it has become a very popular research field. Computer vision technology is widely used in aerospace, automatic navigation, industrial inspection, medical research, clinical diagnosis and treatment, security monitoring, entertainment, national defense, transportation, remote sensing and many other important fields. Computer vision technology is a necessary prerequisite for real artificial intelligence, and face-related technologies include face detection, tracking and recognition technologies, which are closely connected with many applications. Face detection has been successfully applied in camera applications...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/46
Inventor 严严晏栋沈媛媛王菡子
Owner XIAMEN UNIV
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