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Face image fusing method based on laplacian-pyramid

A face image and fusion method technology, applied in the field of face recognition, can solve the problems of inconvenient image processing and analysis, and achieve the effect of rich detailed information

Inactive Publication Date: 2009-05-06
NORTH CHINA UNIVERSITY OF TECHNOLOGY +1
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Problems solved by technology

[0002] In some cases, the image collected by the visible light sensor will be seriously affected by the lighting conditions, which causes great inconvenience to the further processing and analysis of the image, such as face detection and recognition

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  • Face image fusing method based on laplacian-pyramid
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  • Face image fusing method based on laplacian-pyramid

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Embodiment Construction

[0022] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0023] figure 1 Shown is the schematic diagram of the face image fusion method based on the Laplacian pyramid of the present invention, and the method of the present invention comprises the following steps:

[0024] Step 1: Use a near-infrared camera and a visible light camera to collect a near-infrared face image and a visible light face image respectively;

[0025] Image acquisition is accomplished by a near-infrared camera, a visible light camera, an image acquisition card and a computer. After the distance between the near-infrared camera and the visible light camera has been debugged and determined, adjust the distance between the target person and the camera to obtain two images that are relatively similar in pixels to achieve the purpose of initially registering the two images, and then pass the maximum correlation The two im...

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Abstract

The invention relates to a human face image fusing method based on laplacian-pyramid. On a basis of the laplacian-pyramid decomposition, the invention applies a partial binary mode arithmetic operator into a fusion rule. As for infrared and visible-light human face images in each layer of the laplacian-pyramid, average gradient of the image, standard deviation of an image histogram and Chi square statistic similarity measurement are used for determining the selection of respective weighting coefficients of the infrared and visible-light human face images, and effective fusion is performed by utilizing the determined weighting coefficients so as to obtain a fused image which is rich in detail information, clear and stable and facilitates the observation of human eyes. Compared with visible-light images and near-infrared images, the fused information provided by the invention has greater comentropy but smaller average cross-entropy and mean square root cross-entropy and has more remarkable effect of image fusion.

Description

technical field [0001] The invention relates to a face image fusion method based on a Laplacian pyramid, which belongs to the face recognition technology. Background technique [0002] In some cases, the image collected by the visible light sensor will be seriously affected by the lighting conditions, which causes great inconvenience to the further processing and analysis of the image, such as face detection and recognition. The image collected by the near-infrared sensor has the advantage of being insensitive to the influence of light. Therefore, the multi-sensor image fusion technology can be applied to eliminate the influence of light on the image to a certain extent. [0003] With the development of new image sensor technology, multi-sensor image fusion technology has also been vigorously developed. So far, there have been many fusion techniques with excellent performance, such as simple weighted fusion technology, fusion technology based on principal component analysi...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/20G06T5/50
Inventor 王一丁王蕴红邵春水
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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