Face image reversible geometric normalization method facing overall characteristics analysis

A face image and overall feature technology, which is applied in the field of face image geometric normalization, can solve the problems of not considering the change of the individual scale features of the face, and not being fundamentally solved.

Inactive Publication Date: 2012-09-12
山东网源信息技术有限公司
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AI Technical Summary

Problems solved by technology

Doing so will still produce obvious artifacts after restoring the misaligned nose and mouth, and the problem has not been fundamentally solved
At the same time, these methods usually do not consider the change of geometric normalization to the personalized scale characteristics of the face

Method used

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  • Face image reversible geometric normalization method facing overall characteristics analysis
  • Face image reversible geometric normalization method facing overall characteristics analysis
  • Face image reversible geometric normalization method facing overall characteristics analysis

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Embodiment Construction

[0096] Embodiments of the present invention are described in detail below in conjunction with the accompanying drawings:

[0097] The face image is collected by the video acquisition device, and the optical signal of the target image is converted into a digital image signal, which is stored in the memory of the acquisition device; the computer reads the image through the existing USB and infrared interface, and performs secondary processing in the processor. Face geometry normalization of affine transformation; described normalization result can be stored in the form of database and directly stored in local hard disk, or by network storage device or carry out network storage; described normalization method mainly comprises The definition of the standard geometric structure of the human face, a global affine transformation step, a local affine transformation step and an image edge fusion step.

[0098] (1) Definition of standard geometric structure of human face

[0099] as at...

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Abstract

The invention discloses a face image reversible geometric normalization method facing overall characteristics analysis. A method based on secondary affine transformation is adopted. Firstly global affine is carried out which means that global rotation, zooming and cutting are carried out on a face image according to a standard structure definition of a face, such that in an input face image, coordinates of two eyes are at a same horizontal line, a two eye center distance is subjected to normalization according to a parameter d of a standard structure, and transverse and longitudinal proportions of the face are consistent with the standard structure. The image is cut into a magnitude of 2d*2d. Then geometric position normalization is carried out on a mouth area through a local affine transformation needle. Finally by utilizing image edge fusion, a standard geometric normalization face image is formed. An inverse normalization process is that according to a transformation parameter, a standard structure face image is recovered to a geometric structure characteristic before geometric normalization through secondary affine inverse transformation such that personalized topology structures of different face characteristic points are maintained. The face image which goes through geometric normalization can be used for face analysis based on an overall characteristic, such as super resolution reconstruction of the face image, face recognition, and the like.

Description

technical field [0001] The invention relates to a method for geometric normalization of human face images, in particular to a method for reversible geometric normalization of human face images based on quadratic affine transformation in the field of human face image processing. Background technique [0002] With the development of computer and multimedia technology and the continuous progress of society, various fields such as security monitoring, visual communication, medical imaging, satellite remote sensing, electronic entertainment, computer vision, etc. have put forward extensive demands for high-quality images and videos. The image / video can provide richer information and more realistic visual experience, which is the basis of many practical applications. Spatial resolution refers to the amount of information stored in an image, and is an important indicator to measure the expressiveness of image details. The continuous scene in the real world itself has rich informat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 李晓光夏青卓力李风慧
Owner 山东网源信息技术有限公司
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