Improved human face recognition method

A technology of face recognition and face area, which is applied in the field of 2D image analysis and processing, can solve the problems of reliability and security impact, photo deception, etc., and achieve the effect of improving security and reliability and having universality

Inactive Publication Date: 2010-12-22
BEIJING JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the application of this kind of system, it is easy to be deceived by photos, and its reliability and security are seriously affected

Method used

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  • Improved human face recognition method
  • Improved human face recognition method

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] Embodiment 1, a camera is fixed on a bracket. During the experiment, the person is located at a suitable position in front of the camera. Due to the slight movement of the human body, the camera acquires two face images at two times.

[0039] The feature point extraction process is performed on the two acquired images. In the first image, the extracted feature points are p i ( i =1,2,3,…,n), in the second image, the acquired feature points are p ‘ i ( i =1,2,3,...,m). Use the stereo vision matching technology to establish the corresponding relationship of these feature points:

[0040]

[0041] According to the same-plane constraint equation, , using the least squares method to estimate the value of the plane homography matrix H.

[0042] Calculate the error value of each corresponding feature point:

[0043]

[0044] if

[0045]

[0046] In the formula, is the set error value. It is considered that these feature points correspond to the same sp...

Embodiment 2

[0050]In the second embodiment, the facial image is acquired by two cameras at a certain angle, and simultaneously photographing the same human face. Extract the feature points from the captured images and establish the corresponding relationship, and use the reliable LMEDS method to estimate the H matrix. Calculate the error value of each feature point and compare it with the set error upper limit value. If it is not greater than the set value, the feature point belongs to the same plane point. If it is greater than the set value, the face area is detected by face detection technology. Extract the feature points in the face area to recalculate the plane single factor matrix, calculate the error value of the feature points in the face area and compare it with the set error value, if it is less than or equal to the set value, it is considered that these points in the face area correspond to the same If it is greater than the set value, it can be determined that the acquired ima...

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Abstract

The invention discloses an improved human face recognition method, which belongs to the technical field of human face recognition. The improved human face recognition method comprises the following steps of: processing two or more acquired human face images, extracting a plurality of 2D characteristic points of the human face areas of the images, and establishing a corresponding relation of the human face 2D characteristic points of different images; judging whether the extracted human face 2D characteristic points belong to the same space plane or not according to the restriction conditions which the projections of the points of the same space plane on different images meet in a 3D space; and accordingly, judging whether the acquired images are plane scenes or not so as to determine whether the human faces are from other 2D pictures or not and prevent a human face recognition system from being deceived by other pictures. The method solves the problem that the traditional human face recognition system is easily deceived by the pictures, and improves the reliability of the human face recognition system by determining whether an input image is from a real human face or a picture.

Description

technical field [0001] The invention relates to 2D image analysis and processing technology in biometric feature recognition technology, specifically a method for extracting feature points from two or more 2D images and judging whether they belong to the same spatial plane point. Background technique [0002] Face recognition technology is a kind of biometric recognition technology. At present, various countries attach great importance to face recognition technology, and many large companies have also launched identity authentication technology based on face recognition, which has broad application prospects in video surveillance, multimedia, process control, identity recognition and other fields. As the application of this technology gradually increases, the shortcomings of some identification technologies are also exploited. The traditional feature-based face recognition technology extracts the feature points of the face area and recognizes them according to a certain inh...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/172G06V40/45
Inventor 王忠立宋永瑞
Owner BEIJING JIAOTONG UNIV
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