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Human face comparison method

A face comparison and face feature technology, applied in the field of face comparison, can solve problems such as non-human faces

Inactive Publication Date: 2011-02-02
SHANGHAI YINGSUI NETWORK TECH
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  • Claims
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AI Technical Summary

Problems solved by technology

[0005] In addition, in the face comparison, if a static photo is currently input, it will be compared with the registered face in the database, and the matching result will also be obtained, which will cause the recognized object to be not a real face. Cause people who don't have permission to get permission
Therefore, it is very important to judge whether the current input is a real human face or a static photo, and the existing technology cannot solve the problem.

Method used

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Embodiment Construction

[0108] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention will be further elaborated below.

[0109] The face comparison method of the present invention mainly includes two parts, one is a training part, that is, a registration part, and the other is a comparison part. Whether it is the training part or the comparison part, it is necessary to detect and track the facial features first, so as to obtain the precise location of the facial feature points.

[0110] Figure 1-Figure 5 It shows the specific method of face detection, tracking and feature point acquisition. The details are as follows:

[0111] figure 1 The composition framework of the tracking method of the present invention is shown. The face tracking method of the present invention includes two parts: an offline training method 102 and an online tracking method 101 . Off-line training method 102 comprises: mu...

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Abstract

The invention discloses a human face characteristic comparison method. The method comprises the following steps of: tracking a human face to acquire characteristic points and extracting detailed human face characteristic data; comparing human faces, namely comparing the human face characteristic data with the characteristic data of each human face in a human face database to acquire the similarity; judging whether a matched face has been found, wherein delta is a similarity threshold value; if Smax is more than delta, judging that the input face is matched with the face k' in the database; judging whether an expression is changed obviously or not; performing analysis according to continuous multi-frame human face characteristic points which comprise but not limited to the opening and the closing of a mouth and the opening and the closing of eyes; and judging whether the human face expression is changed obviously or not and outputting the compared human face. The human face characteristic comparison method belongs to the technical field of biological feature identification, is applied to human face tracking and comparison and is widely applied to various human face comparison systems.

Description

technical field [0001] The invention relates to the technical field of biological feature recognition, in particular to a method for comparing human faces. Background technique [0002] Face is important information of people and an important basis for distinguishing different people. Therefore, face comparison is a more natural and direct comparison method than fingerprints, irises and other technologies. [0003] Face comparison is to compare the face feature information registered in the database by extracting specific face feature information from the image or video input to obtain the extremely similarity of the matching face and confirm whether it is consistent with the face feature information in the database. The face is the same. [0004] Face comparison plays a very important role in many occasions, such as video MMS in mobile MMS, man-machine interface, authority control, intelligent monitoring system, etc. The accuracy, precision and robustness of comparison ha...

Claims

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Application Information

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IPC IPC(8): G06K9/68G06K9/52G06T7/20
Inventor 唐霖董初宁姜涛
Owner SHANGHAI YINGSUI NETWORK TECH
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