CN108171109A - A kind of face identification system - Google Patents
A kind of face identification system Download PDFInfo
- Publication number
- CN108171109A CN108171109A CN201711216898.6A CN201711216898A CN108171109A CN 108171109 A CN108171109 A CN 108171109A CN 201711216898 A CN201711216898 A CN 201711216898A CN 108171109 A CN108171109 A CN 108171109A
- Authority
- CN
- China
- Prior art keywords
- action
- face
- module
- identification system
- instruction
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
- G06T2200/08—Indexing scheme for image data processing or generation, in general involving all processing steps from image acquisition to 3D model generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
- G06T2207/30201—Face
Abstract
This application involves a kind of face identification system, the face identification system includes, human face scanning module, and for scanning face input computer system, computer system generates the 3D models of face；Facial size measurement module, for carrying out dimensional measurement to face 3D models；Act indicating module；For sending out action instruction to user；Verify action module, for receiving the action message of user's execution, and by user action information compared with action that the action indicating module is sent out instruction pair, retrieve module, after verifying that action module verification is correct, the size of face 3D models is retrieved in the database, finds out the identity information of the people corresponding to the face being consistent.A kind of face identification system described herein can first be scanned the face that identify of needs, establish 3D models, and carry out data difference, compared with the prior art in identification method, more accurately.
Description
Technical field
This application involves a kind of face identification systems.
Background technology
In the prior art, it is a kind of biological identification technology of the facial feature information progress identification based on people.With
Video camera or camera acquisition image or video flowing containing face, and automatic detect and track face, and then right in the picture
The face that detects carries out a series of the relevant technologies of face, usually also referred to as Identification of Images, face recognition.
Invention content
The main purpose of the application is to provide a kind of face identification system, the problems such as to overcome the prior art.
To realize aforementioned application purpose, the technical solution that the application uses includes：
This application involves a kind of face identification system, the face identification system includes, human face scanning module, for scanning people
Face inputs computer system, and computer system generates the 3D models of face；Facial size measurement module, for face 3D models
Carry out dimensional measurement；Act indicating module；For sending out action instruction to user；It verifies action module, is held for receiving user
Capable action message, and by user action information with action that the action indicating module is sent out instruction compared to pair, retrieval mould
Block after verifying that action module verification is correct, the size of face 3D models is retrieved in the database, finds out what is be consistent
The identity information of people corresponding to face.
Preferably, the data of the dimensional measurement of the facial size measurement module include, interpupillary distance, histogram feature, face
Color characteristic, template characteristic, structure feature.
Preferably, the action indicating module includes nod instruction, instruction of shaking the head, blink instruction.
Preferably, the verification action module is additionally operable to not meet the action instruction mould when the action message of user
During the action instruction phase that block is sent out, phase user terminal sends out the prompting of authentication failed.
Preferably, the verification action module is additionally operable to not meet the action instruction mould when the action message of user
When the number of action instruction that block is sent out reaches setting value, identifying system is locked.
Preferably, the face identification system further includes alarm module, for working as the verification action module locking
After identifying system, alarm is sent out to remote control terminal.
By above technical solution, the advantageous effect of the application is：
A kind of face identification system described herein, the face that can be first identified to needs are scanned, and establish 3D models, and
Carry out data difference, compared with the prior art in identification method, more accurately.
With reference to following explanation and attached drawing, the particular implementation of the application is disclosed in detail, specifies the original of the application
Reason can be in a manner of adopted.It should be understood that presently filed embodiment is not so limited in range.In appended power
In the range of the spirit and terms of profit requirement, presently filed embodiment includes many changes, modifications and is equal.
The feature for describing and/or showing for a kind of embodiment can be in a manner of same or similar one or more
Used in a other embodiment, with the feature in other embodiment it is combined or substitute other embodiment in feature.
It should be emphasized that term "comprises/comprising" refers to the presence of feature, one integral piece, step or component when being used herein, but simultaneously
It is not excluded for the presence or additional of one or more other features, one integral piece, step or component.
Description of the drawings
Attached drawing described here is only used for task of explanation, and is not intended to limit model disclosed in the present application in any way
It encloses.In addition, shape and proportional sizes of each component in figure etc. are only schematical, the understanding to the application is used to help, and
It is not the specific shape and proportional sizes for limiting each component of the application.Those skilled in the art, can under teachings of the present application
Implement the application to select various possible shapes and proportional sizes as the case may be.In the accompanying drawings：
Attached drawing 1 is a kind of module map of face identification system.
Specific embodiment
Below in conjunction with the attached drawing in the application embodiment, the technical solution in the application embodiment is carried out clear
Chu is fully described by, it is clear that described embodiment is only the reality of a part of embodiment of the application rather than whole
Apply mode.Based on the embodiment in the application, those of ordinary skill in the art institute without creative efforts
The every other embodiment obtained, shall fall in the protection scope of this application.
It should be noted that when element is referred to as " being set to " another element, it can be directly on another element
Or there may also be elements placed in the middle.When an element is considered as " connection " another element, it can be directly connected to
To another element or it may be simultaneously present centering elements.Term as used herein " vertical ", " horizontal ", " left side ",
For illustrative purposes only, it is unique embodiment to be not offered as " right side " and similar statement.
Unless otherwise defined, all of technologies and scientific terms used here by the article and belong to the technical field of the application
The normally understood meaning of technical staff is identical.The term used in the description of the present application is intended merely to description tool herein
The purpose of the embodiment of body, it is not intended that in limitation the application.Term as used herein "and/or" includes one or more
The arbitrary and all combination of relevant Listed Items.This application involves a kind of face identification system, the recognition of face
System includes, human face scanning module, and for scanning face input computer system, computer system generates the 3D models of face；
Facial size measurement module, for carrying out dimensional measurement to face 3D models；Act indicating module；For sending out action to user
Instruction；It verifies action module, for receiving the action message of user's execution, and user action information and the action is indicated
The action instruction that module is sent out retrieves module, after verifying that action module verification is correct, by the size of face 3D models compared to
It is retrieved in the database, finds out the identity information of the people corresponding to the face being consistent.The facial size measures mould
The data of the dimensional measurement of block include, interpupillary distance, histogram feature, color characteristic, template characteristic, structure feature.The action
Indicating module includes nod instruction, instruction of shaking the head, blink instruction.The verification action module is additionally operable to believe when the action of user
When breath does not meet the action instruction phase that the action indicating module is sent out, phase user terminal sends out the prompting of authentication failed.It is described
The action message that is additionally operable to as user of verification action module do not meet what the action that the action indicating module is sent out indicated
When number reaches setting value, identifying system is locked.The face identification system further includes alarm module, for working as described test
After demonstrate,proving action module locking identifying system, alarm is sent out to remote control terminal.
A kind of face identification system described herein, the face that can be first identified to needs are scanned, and establish 3D moulds
Type, and carry out data difference, compared with the prior art in identification method, more accurately.
It should be noted that in the description of the present application, in the description of the present application, unless otherwise indicated, " multiples' "
It is meant that two or more.
All articles and reference disclosed, including patent application and publication, for various purposes by quoting knot
Together in this.Identified element, ingredient, component or step and reality should be included by describing the term " substantially by ... form " of combination
Other elements, ingredient, component or the step of the basic novel feature of the combination are not influenced in matter.Using term "comprising" or
" comprising " describes the combination of element here, ingredient, component or step it is also contemplated that substantially by these elements, ingredient, component
Or the embodiment that step is formed.Here by using term " can with ", it is intended to it is described any to illustrate that " can with " includes
Attribute is all optional.
Multiple element, ingredient, component or step can be provided by single integrated component, ingredient, component or step.Optionally
Ground, single integrated component, ingredient, component or step can be divided into multiple element, ingredient, component or the step of separation.It is used for
The open "a" or "an" for describing element, ingredient, component or step is not said to exclude other elements, ingredient, component
Or step.
It should be understood that above description is to illustrate rather than to be limited.By reading above-mentioned retouch
It states, many embodiments and many applications except the example provided all will be aobvious and easy for a person skilled in the art
See.Therefore, the range of this introduction should not be determined with reference to foregoing description, but should with reference to preceding claims and this
The four corner of equivalent that a little claims are possessed determines.For comprehensive purpose, all articles and with reference to including special
The disclosure of profit application and bulletin is all by reference to being incorporated herein.Theme disclosed herein is omitted in preceding claims
Any aspect is not intended to abandon the body matter, also should not be considered as applicant the theme is not thought of as it is disclosed
Apply for a part for theme.
Claims (6)
1. a kind of face identification system, it is characterised in that：The face identification system includes, human face scanning module, for sweeping
Face input computer system is retouched, computer system generates the 3D models of face；Facial size measurement module, for face 3D
Model carries out dimensional measurement；Act indicating module；For sending out action instruction to user；It verifies action module, is used for receiving
The action message that family performs, and user action information is examined compared with action that the action indicating module is sent out instruction pair
Rope module after verifying that action module verification is correct, the size of face 3D models is retrieved in the database, finds out and is consistent
The identity information of people corresponding to the face of conjunction.
2. a kind of face identification system according to claim 1, it is characterised in that：The facial size measurement module
The data of dimensional measurement include, interpupillary distance, histogram feature, color characteristic, template characteristic, structure feature.
3. a kind of face identification system according to claim 2, it is characterised in that：The action indicating module includes point
Head instruction, instruction of shaking the head, blink instruction.
4. a kind of face identification system according to claim 3, it is characterised in that：The verification action module is additionally operable to
When the action message of user does not meet the action instruction phase that the action indicating module is sent out, phase user terminal sends out verification and loses
The prompting lost.
5. a kind of face identification system according to claim 4, it is characterised in that：The verification action module is additionally operable to
When the number of action instruction that action indicating module described in the action message of user is not met is sent out reaches setting value, locking
Identifying system.
6. a kind of face identification system according to claim 5, it is characterised in that：The face identification system further includes
After working as the verification action module locking identifying system, alarm is sent out to remote control terminal for alarm module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711216898.6A CN108171109A (en) | 2017-11-28 | 2017-11-28 | A kind of face identification system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711216898.6A CN108171109A (en) | 2017-11-28 | 2017-11-28 | A kind of face identification system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108171109A true CN108171109A (en) | 2018-06-15 |
Family
ID=62524638
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711216898.6A Pending CN108171109A (en) | 2017-11-28 | 2017-11-28 | A kind of face identification system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108171109A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109558822A (en) * | 2018-11-22 | 2019-04-02 | 杭州光曲智能科技有限公司 | A kind of unattended operation transformer station monitoring system based on image recognition |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105809111A (en) * | 2016-02-25 | 2016-07-27 | 曹宇 | Identity authentication method, apparatus, device and system |
| CN105868677A (en) * | 2015-01-19 | 2016-08-17 | 阿里巴巴集团控股有限公司 | Live human face detection method and device |
| CN105894628A (en) * | 2016-03-31 | 2016-08-24 | 宇龙计算机通信科技(深圳)有限公司 | Method, device and system for processing information, mobile terminal and intelligent lock |
| CN106778468A (en) * | 2016-11-14 | 2017-05-31 | 深圳奥比中光科技有限公司 | 3D face identification methods and equipment |
| CN107066983A (en) * | 2017-04-20 | 2017-08-18 | 腾讯科技（上海）有限公司 | A kind of auth method and device |
-
2017
- 2017-11-28 CN CN201711216898.6A patent/CN108171109A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105868677A (en) * | 2015-01-19 | 2016-08-17 | 阿里巴巴集团控股有限公司 | Live human face detection method and device |
| CN105809111A (en) * | 2016-02-25 | 2016-07-27 | 曹宇 | Identity authentication method, apparatus, device and system |
| CN105894628A (en) * | 2016-03-31 | 2016-08-24 | 宇龙计算机通信科技(深圳)有限公司 | Method, device and system for processing information, mobile terminal and intelligent lock |
| CN106778468A (en) * | 2016-11-14 | 2017-05-31 | 深圳奥比中光科技有限公司 | 3D face identification methods and equipment |
| CN107066983A (en) * | 2017-04-20 | 2017-08-18 | 腾讯科技（上海）有限公司 | A kind of auth method and device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109558822A (en) * | 2018-11-22 | 2019-04-02 | 杭州光曲智能科技有限公司 | A kind of unattended operation transformer station monitoring system based on image recognition |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Guo et al. | An accurate and robust range image registration algorithm for 3D object modeling | |
| JP6403233B2 (en) | User authentication method, apparatus for executing the same, and recording medium storing the same | |
| CN110546644B (en) | Identification device, identification method, and recording medium | |
| US9916495B2 (en) | Face comparison device, method, and recording medium | |
| US20230409852A1 (en) | Product verification in a messaging system | |
| CN106022317A (en) | Face identification method and apparatus | |
| WO2007090437A1 (en) | Protection system, protection method and an element protected in this way | |
| CN109934182A (en) | Object behavior analysis method, device, electronic equipment and computer storage medium | |
| CN102542275A (en) | Automatic identification method for identification photo background and system thereof | |
| JP6712555B2 (en) | Object pose estimation method, program and apparatus | |
| CN108805005A (en) | Auth method and device, electronic equipment, computer program and storage medium | |
| CN109712284A (en) | A kind of intelligent campus management system and its method | |
| CN107944395A (en) | A kind of method and system based on neutral net verification testimony of a witness unification | |
| CN107251048A (en) | Reliable finger tip and palm detection | |
| Sawall et al. | Covid-19 zero-interaction school attendance system | |
| CN108171109A (en) | A kind of face identification system | |
| CN113822256B (en) | Face recognition method, electronic device and storage medium | |
| CN106203225A (en) | Pictorial element based on the degree of depth is deleted | |
| CN108268863A (en) | A kind of image processing method, device and computer storage media | |
| CN111310720A (en) | Pedestrian re-identification method and system based on graph metric learning | |
| US20160147909A1 (en) | 3d model component comparing system and method thereof | |
| JP2012053629A (en) | Image creation device, image creation method, and program | |
| CN108171111A (en) | A kind of computer face recognition system | |
| CN107025435A (en) | A kind of face recognition processing method and system | |
| CN110046602A (en) | Deep learning method for detecting human face based on classification |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180615 |
|
| WD01 | Invention patent application deemed withdrawn after publication |