Face recognition method based on affine scale invariant feature transformation and structural similarity

A scale-invariant feature and similar structure technology, applied in the field of face recognition, can solve problems such as cumbersome calculations and difficulty in identifying similar faces

Inactive Publication Date: 2013-01-16
BEIJING UNIV OF TECH
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AI Technical Summary

Problems solved by technology

At present, the main problems in face recognition are: 1. The selection of face features
Too complex facial features will make the calculation very cumbersome
2. It is more difficult to correctly identify similar faces

Method used

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  • Face recognition method based on affine scale invariant feature transformation and structural similarity
  • Face recognition method based on affine scale invariant feature transformation and structural similarity
  • Face recognition method based on affine scale invariant feature transformation and structural similarity

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Embodiment Construction

[0041] The technical solution of the present invention will be described in more detail below with reference to the drawings and embodiments.

[0042] The detailed process of the technical plan is attached to the instruction manual figure 1 As shown, this embodiment is carried out for face images, and the technical solution of the present invention is described in detail according to two BMP bitmaps with a size of 640*480 pixels. Finally, the technical solution of the present invention is described in the results of experiments in three face databases (FERET face database, CMU-PIE face database and AR face database).

[0043] In the matching point calculation stage, the first input image is two BMP bitmaps with a size of 640*480 pixels, which are the recognized face image and the face image to be recognized, see the attached manual figure 2 with instructions attached image 3 . For the two input images, the corresponding matching point pairs are calculated based on the ASI...

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Abstract

The invention discloses a face recognition method based on affine scale invariant feature transformation and structural similarity. The face recognition method relates to the technical field of face recognition. An operator AISFT (affine scale invariant feature transformation) is described by an image local characteristic to obtain a matching point between images; a redundant matching point is eliminated on the basis of a ''network leakage'' method; then, according to a structural similarity algorithm, the similarity based on a key point is obtained; and finally, the face recognition is realized. The face recognition method disclosed by the invention has the advantage of simplicity, easiness in realizing, correction and higher recognition rate.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to the research and realization of a face recognition method based on affine scale invariant feature transformation and structural similarity. Background technique [0002] With the development of society, more and more occasions require identification and verification of identity. Traditional identity verification methods are increasingly unable to meet the needs of social development. Face recognition has the characteristics of simplicity and convenience and has been applied in many fields. Face recognition is a technology that uses face information to judge identity, and is the most valuable type of biometric recognition. [0003] After years of research and development, face recognition research has made great progress in recent years. Generally speaking, the main process of the current face recognition method includes face detection and positioning, face standardiza...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/64
Inventor 毋立芳刘书琴周鹏郑庆阳邓亚丽曹瑜肖鹏江思源王红曹连超颜凤辉张静文
Owner BEIJING UNIV OF TECH
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