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Multi-visual-angle face comparison method

A face comparison and multi-view technology, applied in the field of multi-view face comparison, can solve problems such as limited gesture redundancy, decreased face recognition accuracy, and inability to face recognition, achieving high recognition accuracy, The effect of improving the accuracy of face recognition

Inactive Publication Date: 2016-06-08
WISESOFT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional face recognition system has limited redundancy for poses. When the pose exceeds a certain range, the accuracy of face recognition drops rapidly, and it is even impossible to perform correct face recognition.

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] Embodiment 1: as figure 1 , figure 2 As shown, the present invention proposes a multi-view face comparison method, comprising the following steps:

[0037] Template acquisition step: Use the 3D face acquisition device to correct the 3D face data of the person to be monitored and correct the face pose to determine the front pose of the 3D face to form a 3D face model; during specific implementation, the front pose can be defined as follows The three-dimensional face coordinate system: take the nose tip as the coordinate origin, the line connecting the centers of the pupils of the eyes is parallel to the horizontal X-axis, the central axis of the human head is parallel to the vertical Y-axis, and the Z-axis is perpendicular to the XOY plane and points to the positive direction of the face. ahead.

[0038] The three-dimensional face model after posture correction is rotated around the X-axis and the Y-axis at predetermined angular intervals (the smaller the predetermin...

Embodiment 2

[0048] Example 2: like figure 1 , image 3 As shown, this embodiment provides a multi-view face comparison method under the identity verification mode. Different from Embodiment 1, in this embodiment, the template acquisition step: use a three-dimensional face acquisition device to collect the three-dimensional face data of the personnel to be monitored And perform face posture correction to determine the frontal posture of the three-dimensional human face to form a three-dimensional human face model; during specific implementation, the three-dimensional human face coordinate system under the frontal posture can be defined as follows: take the tip of the nose as the coordinate origin, the line connecting the centers of the pupils of the two eyes and the horizontal The X-axis of the human head is parallel to the vertical Y-axis, and the Z-axis is perpendicular to the XOY plane and points to the front of the face. The collected 3D face model combined with personnel informati...

Embodiment 3

[0055] Example 3: The difference from Embodiment 2 is that in this embodiment, the identity information of the person is not input or acquired, but in step S240 it can be transformed into S241, specifically:

[0056] S241: Rotate all 3D face models in the registration database according to the pose angle of the input image, and then project them onto a 2D plane, then extract their feature templates (such as local binary pattern features, etc.), and obtain them respectively with the input face images Compare the sample feature templates, calculate the similarity, and identify their identities according to the similarity. If the similarity is higher than the specified threshold, it is determined that the input two-dimensional face image is the person corresponding to the two-dimensional face template; in some embodiments, the two-dimensional face template with a sample feature template similarity higher than the specified threshold There may be more than one, and the personnel...

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Abstract

The invention discloses a multi-visual-angle face comparison method which comprises the steps of an acquisition step of acquiring three-dimensional face data of a person and performing face gesture correction for determining the front gesture of the three-dimensional face and forming a three-dimensional face model; rotating the three-dimensional face model after gesture correction around an X axis and a Y axis according to a preset angle interval, and performing perspective projection for obtaining a corresponding multi-visual-angle two-dimensional face image under a plurality of angles; performing normalization processing on the multi-visual-angle two-dimensional face image obtained through projection, then extracting characteristics for establishing a multi-visual-angle two-dimensional face template database and storing the characteristics into a registration database; and a comparison step, inputting a two-dimensional face image, comparing the input two-dimensional face image with each face with a similar gesture angle in the registration database, thereby identifying or verifying the identity of the two-dimensional face image.

Description

technical field [0001] The invention relates to the fields of computer application technology and computer vision, in particular to a multi-view human face comparison method. Background technique [0002] With the continuous progress of society and the urgent requirements for fast and effective automatic identity verification, biometric technology has developed rapidly in recent decades. As an inherent attribute of human beings, with strong self-stability and individual differences, biometric features have become the most ideal basis for automatic identity verification. Current biometric recognition technologies mainly include: fingerprint recognition, iris recognition, gait recognition, vein recognition, face recognition, etc. Compared with other recognition methods, face recognition is easy to accept because of its direct, friendly and convenient features, without any psychological barriers for users. [0003] With the continuous expansion of the scope of face applicatio...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06F21/32
CPCG06F21/32G06V40/16G06V40/161
Inventor 赵启军陈虎孙家炜
Owner WISESOFT CO LTD
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