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Humanface image matching method for general active snape changing mode

A face image and deformation model technology, applied in the field of analysis and matching, face image synthesis based on computer vision technology, can solve the problems of low training efficiency, weak model expression ability, inaccurate face shape description, etc., to achieve The effect of skipping the training process

Inactive Publication Date: 2007-06-27
北京海鑫科金高科技股份有限公司
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AI Technical Summary

Problems solved by technology

[0008] Although the shape-texture model combines shape and texture, this model describes the shape as the position of a few feature points, which is inaccurate in describing the shape of the face; it is disturbed by the background; shape and texture have a linear correlation, which makes the model's expressive ability insufficient. Strong, low training efficiency

Method used

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  • Humanface image matching method for general active snape changing mode
  • Humanface image matching method for general active snape changing mode
  • Humanface image matching method for general active snape changing mode

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Embodiment Construction

[0033] The following is a specific description of the face image matching method using a general active deformation model in conjunction with Figure 1:

[0034] (1) For each face image used for principal component analysis, it is firstly normalized. The normalization process is based on the coordinates of the eyes and mouth corners to eliminate the differences in translation, rotation and scaling of the sample face images.

[0035] (2) Calculate the reference face image. The reference face image can be taken as the average image of all prototype face images in the library.

[0036] (3) Calculate the shape vector of the prototype face image

[0037] Given a reference face image I 0 and an image I from a library of prototype face images j , the deformable model defines its shape as a map S j :R 2 →R 2 , that is, from I 0 to I j A pixel corresponds to:

[0038] S j (x, y) = (x', y') (1)

[0039] where (x', y') is I j Medium and I 0 The pixel corresponding to pixel (...

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Abstract

This invention has provided a general match method for human face picture of the initiative deformation model. It transforms the calculation model of human face to the general initiative deformation model, effectively removes the redundant information in the background, and eliminates the linear relevance between the prototype shape and texture, decreases the dimension of both the shape and texture vector. So as that the model has become more compact and can more effectively take advantage the revelatory information provide by the picture input, and the match efficiency for human face has become more high. Because the picture information of human face is broken down to the shape and texture information, and is represented as the linear combination of the major components of the prototype human face picture, the general initiative deformation model is suitable variously.

Description

technical field [0001] The invention relates to a method for matching human biological features, in particular to a method for synthesizing, analyzing and matching face images based on computer vision technology. Background technique [0002] With the rapid improvement of computer computing power and storage capacity, biometric identification technology is widely used in security authentication and other identification fields due to its unique stability, uniqueness and convenience. Compared with the method of using fingerprints, irises and other human biometrics for identification, using face recognition is more friendly and convenient, so face recognition technology stands out and gradually enters the practical field. [0003] Identity verification based on face images can be used in security and attendance, network security, banking, customs border inspection, property management, military security, and computer login systems of government agencies. For example, public se...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 刘晓春陆乃将张长水
Owner 北京海鑫科金高科技股份有限公司
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