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Human face recognition method based on visible light and near-infrared Gabor information amalgamation

A face recognition and visible light technology, applied in the field of face recognition technology, to achieve the effect of fewer features, high recognition rate, and fast calculation speed

Inactive Publication Date: 2009-04-08
BEIHANG UNIV
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Problems solved by technology

However, these two algorithms have a common practical defect, that is, they both require the lower limit of the learning accuracy of the weak learning algorithm to be known in advance.

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  • Human face recognition method based on visible light and near-infrared Gabor information amalgamation
  • Human face recognition method based on visible light and near-infrared Gabor information amalgamation
  • Human face recognition method based on visible light and near-infrared Gabor information amalgamation

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Embodiment Construction

[0055] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0056] figure 1 A flow chart of a face recognition method based on the fusion of visible light and near-infrared Gabor information of the present invention is shown. Such as figure 1 Shown:

[0057] Step 1: Collect visible light face images and near-infrared face images.

[0058] In order to control the lighting conditions in the process of image acquisition, and considering that the application environment of the current face recognition system is still mainly indoor (Indoor) environment, and requires the active cooperation of people (Cooperative), in order to obtain high-quality near-infrared Face image, the present invention has adopted following method:

[0059] First of all, an active near-infrared light source is placed on the near-infrared camera, the purpose is to enhance the near-infrared intensity of the front, and try t...

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Abstract

The invention discloses a human face recognition method which is based on Gabor information fusion of visible light and near-infrared light. The method comprises: human face images under a visible light source and a near-infrared light source are respectively collected, Gabor features of the two images are respectively extracted to be fused at a feature layer; an AdaBoost algorithm is adopted to carry out the feature selection on the feature after the fusion, and the nearest neighbor classification is adopted to carry out the calculation and the classification on the similarity thereof. The human face recognition method has very high accuracy rate and excellent robustness of the impacts of light illumination on the human face recognition; in addition, compared with other methods, the human face recognition method has the advantages of small number of the used features, rapid classification speed, etc.

Description

technical field [0001] The invention relates to a face recognition method based on the fusion of visible light and near-infrared Gabor information, which belongs to the intelligent monitoring technology in computer vision, in particular to the face recognition technology. Background technique [0002] Face is the most common pattern in human vision, and the visual information represented by human face plays an important role and significance in social communication and communication. Face recognition (Face Recognition) is mainly to study the algorithm and theory of automatically identifying the face and facial feature points found in the image. Research on face recognition attempts to make computers have the ability to recognize human faces. At present, the objects processed by face recognition mainly include single still face images and dynamic face images in videos. Generally, people have two understandings of "face recognition" in a broad sense and a narrow sense. In a...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06K9/00248G06K9/00255G06V40/165G06V40/166
Inventor 王蕴红黄迪
Owner BEIHANG UNIV
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