CN108960173A - A kind of millimeter wave and camera merge face identification method - Google Patents
A kind of millimeter wave and camera merge face identification method Download PDFInfo
- Publication number
- CN108960173A CN108960173A CN201810765062.XA CN201810765062A CN108960173A CN 108960173 A CN108960173 A CN 108960173A CN 201810765062 A CN201810765062 A CN 201810765062A CN 108960173 A CN108960173 A CN 108960173A
- Authority
- CN
- China
- Prior art keywords
- module
- millimeter
- face
- processing module
- millimeter wave
- 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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/251—Fusion techniques of input or preprocessed data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/147—Details of sensors, e.g. sensor lenses
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Multimedia (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Computation (AREA)
- Evolutionary Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Vascular Medicine (AREA)
- Life Sciences & Earth Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a kind of millimeter waves and camera to merge face identification method, it is related to field of face identification, it is to be based on having merged millimeter wave identification method on existing camera face recognition technology, including millimeter-wave transceiver, data processing module, image processing module, photographing module, image co-registration module and execution module, millimeter wave, which combines recognition methods with camera, can be placed on numerous occasions, millimeter-wave signal receiving module is connected on its corresponding data processing module, camera is connected with corresponding image processing module, in the fusion treatment for carrying out two data after data processing, learn from other's strong points to offset one's weaknesses, finally obtain complete result, and then system executes corresponding operation.
Description
Technical field
The present invention relates to field of face identification, and in particular to a kind of millimeter wave and camera merge face identification method.
Background technique:
With the progress of science and technology, present camera face identification functions have been incorporated into market and apply, still
Its safety is always what people were worried, and only camera progress recognition of face is likely to cause wrong identification, and there are safety
Hidden danger.For example true man's face is replaced with photo to identify, it is also possible to by verifying, when identification there are also night, due to light
The reason of, camera is difficult accurately to capture face information, this is the place of camera identification disadvantage.
Such as application No. is CN201810051630.X to disclose a kind of intelligent elevator scheduling system, including inductor system mould
Block, AI scheduler module, customized information processing module；The AI scheduler module includes face identification unit, radio-frequency information stream process
Unit, intelligent dispatching algorithm unit；Invention introduces intelligent algorithms to utilize convolution for image class inductor system
CNN neural network handles image, provides data basis for intelligent scheduling；The system has opened up the depth based on radio frequency
Learning method provides the mode except a kind of image information, substantially increases light interference ring using the radio frequencies scheme such as millimeter wave
Stability under border, but the system is it is not disclosed how carry out the identification of face using millimeter wave.
Such as application No. is CN201720127636.1 to disclose a kind of vehicle-mounted comprehensive safety inspection system, comprising: compartment；X
Ray article rays safety detection apparatus is arranged in compartment and for executing the X-ray safety inspection to article；Millimeter wave human body safety check is set
It is standby, it is arranged in compartment and for executing the millimeter wave safety inspection to human body；And compartment charging crane, it is arranged in compartment
Place is simultaneously constructed such that compartment can switch between vehicle-mounted mobile safety check mode and fixed venue safety check mode, wherein
In vehicle-mounted mobile safety check mode, system can execute the X-ray safety to article in the case where compartment is in Vehicular mobile
Inspection and/or the millimeter wave safety inspection to human body；And in fixed venue safety check mode, system can be in fixed field in compartment
The X-ray safety inspection to article and/or the millimeter wave safety inspection to human body are executed in the case where ground, but the system is not
The open identification that face how is carried out using millimeter wave.
Summary of the invention
The purpose of the present invention is to provide a kind of millimeter waves and camera to merge face identification method, has taken into account camera shooting tribal chief
The advantages of face identifies, while the accuracy of recognition of face can be improved using millimeter wave detection, it solves and is only made of camera
The safety issue of recognition of face.
A kind of millimeter wave and camera merge face identification method, including millimeter-wave transceiver, data processing module, image
Processing module, photographing module, image co-registration module and execution module, the millimeter-wave transceiver include millimetre-wave radar chip and
Corresponding peripheral circuit is scanned and receives to face characteristic for transmitting millimeter wave forwards, the data processing module packet
High performance array signal processing chip and peripheral circuit are included, data processing module connect array signal core with millimeter-wave transceiver
The received millimeter wave data of millimeter-wave transceiver for being analyzed and processed by piece, and the photographing module is for shooting facial image
Feature, described image processing module include dedicated picture processing chip and software algorithm, image processing module and photographing module
Connection handles the picture in photographing module, described image Fusion Module by picture processing chip and the binding analysis of software algorithm
It is connect respectively with data processing module and image processing module, for millimeter wave data and image data to be carried out integration processing,
The connection of the execution module and image co-registration module is for discriminatory analysis as a result, and according to the corresponding operational order of result execution.
Preferably, the millimeter-wave transceiver and photographing module are all set on the same panel.
Preferably, the photographing module is used to capture the 2D information of face, and the millimeter-wave transceiver is for capturing face
3D information.
Preferably, described image Fusion Module integrates the 2D information of face and 3D information, realizes the accurate of face
It restores.
Preferably, multiple groups receiving antenna is connected in the millimeter-wave transceiver.
Preferably, it the described method comprises the following steps:
S1: millimeter-wave transceiver issues millimeter wave and is scanned to face, while photographing module shoots face；
S2: data processing module carries out analysis and arrangement to the scan data of millimeter wave, and image processing module is to face picture
Carry out analysis and arrangement；
S3: the data and image processing module that image co-registration module sends data processing module by special algorithm are sent out
The picture sent carries out fusion treatment；
S4: result is sent to execution module end after the completion of processing and executes corresponding operation.
The present invention has the advantages that this kind of millimeter wave and camera merge face identification method, camera and millimeter are used
Wave two ways identifies face information simultaneously, can effectively solve the error result generated when only camera identification, and milli
Metric wave is not influenced by light, can solve the shortcomings that camera cannot identify in the undesirable situation of illumination.
Detailed description of the invention
Fig. 1 is the structural diagram of the present invention.
Fig. 2 is millimeter-wave transceiver principle of the present invention.
Fig. 3 is principle of image fusion of the present invention.
Specific embodiment
To be easy to understand the technical means, the creative features, the aims and the efficiencies achieved by the present invention, below with reference to
Specific embodiment, the present invention is further explained.
As shown in Figure 1 to Figure 3, a kind of millimeter wave and camera merge face identification method, including millimeter-wave transceiver, number
According to processing module, image processing module, photographing module, image co-registration module and execution module, the millimeter-wave transceiver includes
Millimetre-wave radar chip and corresponding peripheral circuit are scanned and receive to face characteristic for transmitting millimeter wave forwards, institute
Stating data processing module includes high performance array signal processing chip and peripheral circuit, data processing module and millimeter wave transceiving
The received millimeter wave data of millimeter-wave transceiver for being analyzed and processed by device connection array signal chip, the photographing module
For shooting facial image feature, described image processing module includes dedicated picture processing chip and software algorithm, at image
Reason module connect the picture handled in photographing module by picture processing chip and the binding analysis of software algorithm with photographing module,
Described image Fusion Module is connect with data processing module and image processing module respectively, is used for millimeter wave data and picture number
According to integration processing is carried out, the execution module is connect for discriminatory analysis as a result, and being executed according to result with image co-registration module
Corresponding operational order.
It is worth noting that, the millimeter-wave transceiver and photographing module are all set on the same panel.
In the present embodiment, the photographing module is used to capture the 2D information of face, and the millimeter-wave transceiver is for catching
Catch the 3D information of face.
In the present embodiment, described image Fusion Module integrates the 2D information of face and 3D information, realizes face
Accurate recovery.
In the present embodiment, multiple groups receiving antenna is connected in the millimeter-wave transceiver.
In addition, the described method comprises the following steps:
S1: millimeter-wave transceiver issues millimeter wave and is scanned to face, while photographing module shoots face；
S2: data processing module carries out analysis and arrangement to the scan data of millimeter wave, and image processing module is to face picture
Carry out analysis and arrangement；
S3: the data and image processing module that image co-registration module sends data processing module by special algorithm are sent out
The picture sent carries out fusion treatment；
S4: result is sent to execution module end after the completion of processing and executes corresponding operation.
If Fig. 1 millimeter-wave transceiver is connected with digital processing module, it is aided with peripheral circuit, is built into and can use millimeter
Wave carries out the detection circuit of face information acquisition, if Fig. 2 millimeter-wave transceiver receives the millimeter wave fired back on face, so
After deliver the information to digital signal processing module, digital signal processing module is analyzed to obtain millimeter wave collected by algorithm
Human face image information obtains result and sends image co-registration module to again；Camera is connected with image processing module, is aided with periphery
Circuit is built into and can use the information acquisition circuit that camera carries out face information acquisition, the facial image of camera shooting
To acquire information, then face information is transferred to by circuit transmission by image processing module, image processing module is by receiving
Image carry out digitized processing, obtain result and send in image co-registration module；As Fig. 3 image procossing and digital processing all connect
It is connected in image co-registration module, after the information that image co-registration module receives image processing module and digital processing module transmits,
The collected information of the two is carried out algorithm Mutually fusion to achieve the effect that accurately identify to obtain accurate face information,
Solve the problems, such as the inaccurate of single identification.After a series of data acquisition and processing (DAP), final face information is obtained, is reached
After accurately identifying, system makes corresponding response, executes movement to be treated.According to the method, millimeter-wave transceiver and
Camera can be placed on any place, such as the front camera position of mobile phone etc. for needing to detect, it is allowed to reach desired effect
Fruit.
Based on above-mentioned, this kind of millimeter wave and camera merge face identification method, use two kinds of sides of camera and millimeter wave
Formula identifies face information simultaneously, can effectively solve the error result generated when the identification of only camera, and millimeter wave not by
The influence of light can solve the shortcomings that camera cannot identify in the undesirable situation of illumination.
As known by the technical knowledge, the present invention can pass through the embodiment party of other essence without departing from its spirit or essential feature
Case is realized.Therefore, embodiment disclosed above, in all respects are merely illustrative, not the only.Institute
Have within the scope of the present invention or is included in the invention in the change being equal in the scope of the present invention.
Claims (6)
1. at a kind of millimeter wave and camera fusion face identification method, including millimeter-wave transceiver, data processing module, image
Manage module, photographing module, image co-registration module and execution module, which is characterized in that the millimeter-wave transceiver includes millimeter wave
Radar chip and corresponding peripheral circuit are scanned and receive to face characteristic for transmitting millimeter wave forwards, the data
Processing module includes that high performance array signal processing chip and peripheral circuit, data processing module are connect with millimeter-wave transceiver
The received millimeter wave data of millimeter-wave transceiver for being analyzed and processed by array signal chip, and the photographing module is for clapping
Facial image feature is taken the photograph, described image processing module includes dedicated picture processing chip and software algorithm, image processing module
The picture handled in photographing module by picture processing chip and the binding analysis of software algorithm, the figure are connect with photographing module
Picture Fusion Module is connect with data processing module and image processing module respectively, for carrying out millimeter wave data and image data
Integration processing, the execution module is with the connection of image co-registration module for discriminatory analysis as a result, and corresponding according to result execution
Operational order.
2. a kind of millimeter wave according to claim 1 and camera merge face identification method, it is characterised in that: the milli
Metric wave transceiver and photographing module are all set on the same panel.
3. a kind of millimeter wave according to claim 1 and camera merge face identification method, it is characterised in that: described to take the photograph
As module is used to capture the 3D information of face for capturing the 2D information of face, the millimeter-wave transceiver.
4. a kind of millimeter wave according to claim 1 and camera merge face identification method, it is characterised in that: the figure
As Fusion Module integrates the 2D information of face and 3D information, the accurate recovery of face is realized.
5. a kind of millimeter wave according to claim 1 and camera merge face identification method, it is characterised in that: the milli
Multiple groups receiving antenna is connected on metric wave transceiver.
6. any one millimeter wave described in -5 and camera merge face identification method according to claim 1, feature exists
In: it the described method comprises the following steps:
S1: millimeter-wave transceiver issues millimeter wave and is scanned to face, while photographing module shoots face；
S2: data processing module carries out analysis and arrangement to the scan data of millimeter wave, and image processing module carries out face picture
Analysis and arrangement；
S3: the data and image processing module that image co-registration module sends data processing module by special algorithm are sent
Picture carry out fusion treatment；
S4: result is sent to execution module end after the completion of processing and executes corresponding operation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810765062.XA CN108960173A (en) | 2018-07-12 | 2018-07-12 | A kind of millimeter wave and camera merge face identification method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810765062.XA CN108960173A (en) | 2018-07-12 | 2018-07-12 | A kind of millimeter wave and camera merge face identification method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108960173A true CN108960173A (en) | 2018-12-07 |
Family
ID=64483841
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810765062.XA Pending CN108960173A (en) | 2018-07-12 | 2018-07-12 | A kind of millimeter wave and camera merge face identification method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108960173A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110290353A (en) * | 2019-06-28 | 2019-09-27 | Oppo广东移动通信有限公司 | Monitoring method and device, electronic equipment and storage medium |
| CN110290352A (en) * | 2019-06-28 | 2019-09-27 | Oppo广东移动通信有限公司 | Monitoring method and device, electronic equipment and storage medium |
| CN111460880A (en) * | 2019-02-28 | 2020-07-28 | 杭州芯影科技有限公司 | Multimodal biometric fusion method and system |
| CN113433541A (en) * | 2020-03-23 | 2021-09-24 | Oppo广东移动通信有限公司 | Face detection method and device, electronic equipment and computer readable storage medium |
| CN114511916A (en) * | 2022-04-19 | 2022-05-17 | 亿慧云智能科技（深圳）股份有限公司 | Face recognition-based terminal equipment control method and device and terminal equipment |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070168128A1 (en) * | 2004-01-28 | 2007-07-19 | Setsuo Tokoro | Running support system for vehicle |
| JP2014070899A (en) * | 2012-09-27 | 2014-04-21 | Toyoda Gosei Co Ltd | Millimeter wave radar apparatus for vehicle use |
| CN104598878A (en) * | 2015-01-07 | 2015-05-06 | 深圳市唯特视科技有限公司 | Multi-modal face recognition device and method based on multi-layer fusion of gray level and depth information |
| CN105913013A (en) * | 2016-04-08 | 2016-08-31 | 青岛万龙智控科技有限公司 | Binocular vision face recognition algorithm |
| US20160282874A1 (en) * | 2013-11-08 | 2016-09-29 | Hitachi, Ltd. | Autonomous Driving Vehicle and Autonomous Driving System |
| US20170124384A1 (en) * | 2015-10-30 | 2017-05-04 | Mark A. Allyn | Progressive radar assisted facial recognition |
| CN108109230A (en) * | 2017-07-20 | 2018-06-01 | 丁奕 | A kind of novel intelligent gate inhibition or lock cabinet system with mobile phone typing and biometric safeguard characteristic information |
| CN108217352A (en) * | 2018-01-19 | 2018-06-29 | 深圳禾思众成科技有限公司 | A kind of intelligent elevator dispatches system |
-
2018
- 2018-07-12 CN CN201810765062.XA patent/CN108960173A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070168128A1 (en) * | 2004-01-28 | 2007-07-19 | Setsuo Tokoro | Running support system for vehicle |
| JP2014070899A (en) * | 2012-09-27 | 2014-04-21 | Toyoda Gosei Co Ltd | Millimeter wave radar apparatus for vehicle use |
| US20160282874A1 (en) * | 2013-11-08 | 2016-09-29 | Hitachi, Ltd. | Autonomous Driving Vehicle and Autonomous Driving System |
| CN104598878A (en) * | 2015-01-07 | 2015-05-06 | 深圳市唯特视科技有限公司 | Multi-modal face recognition device and method based on multi-layer fusion of gray level and depth information |
| US20170124384A1 (en) * | 2015-10-30 | 2017-05-04 | Mark A. Allyn | Progressive radar assisted facial recognition |
| CN105913013A (en) * | 2016-04-08 | 2016-08-31 | 青岛万龙智控科技有限公司 | Binocular vision face recognition algorithm |
| CN108109230A (en) * | 2017-07-20 | 2018-06-01 | 丁奕 | A kind of novel intelligent gate inhibition or lock cabinet system with mobile phone typing and biometric safeguard characteristic information |
| CN108217352A (en) * | 2018-01-19 | 2018-06-29 | 深圳禾思众成科技有限公司 | A kind of intelligent elevator dispatches system |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111460880A (en) * | 2019-02-28 | 2020-07-28 | 杭州芯影科技有限公司 | Multimodal biometric fusion method and system |
| CN111460880B (en) * | 2019-02-28 | 2024-03-05 | 杭州芯影科技有限公司 | Multimode biological feature fusion method and system |
| CN110290353A (en) * | 2019-06-28 | 2019-09-27 | Oppo广东移动通信有限公司 | Monitoring method and device, electronic equipment and storage medium |
| CN110290352A (en) * | 2019-06-28 | 2019-09-27 | Oppo广东移动通信有限公司 | Monitoring method and device, electronic equipment and storage medium |
| CN113433541A (en) * | 2020-03-23 | 2021-09-24 | Oppo广东移动通信有限公司 | Face detection method and device, electronic equipment and computer readable storage medium |
| CN114511916A (en) * | 2022-04-19 | 2022-05-17 | 亿慧云智能科技（深圳）股份有限公司 | Face recognition-based terminal equipment control method and device and terminal equipment |
| CN114511916B (en) * | 2022-04-19 | 2022-06-17 | 亿慧云智能科技（深圳）股份有限公司 | Face recognition-based terminal equipment control method and device and terminal equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108960173A (en) | A kind of millimeter wave and camera merge face identification method | |
| CN113038362B (en) | Ultra-wideband positioning method and system | |
| WO2017096761A1 (en) | Method, device and system for looking for target object on basis of surveillance cameras | |
| CN110688957B (en) | Living body detection method, device and storage medium applied to face recognition | |
| CN107292285A (en) | Living iris detection method and Related product | |
| WO2020252000A1 (en) | Mobile based security system and method | |
| CN111095297B (en) | Face recognition device and method and electronic equipment | |
| CN104902233B (en) | Comprehensive safety monitor system | |
| CN110728213A (en) | Fine-grained human body posture estimation method based on wireless radio frequency signals | |
| CN110868536A (en) | Access control system control method and access control system | |
| CN102508307B (en) | Millimeter wave imaging scanning detection system and detection method thereof | |
| CN112037252A (en) | Eagle eye vision-based target tracking method and system | |
| CN112000133A (en) | Low-altitude aircraft/flyer identification system, counter-braking system and identification method | |
| CN103514449B (en) | A kind of image collecting device and method | |
| CN106452716A (en) | Unmanned aerial vehicle signal recognition and detection algorithm based on Hash fingerprint | |
| CN106682662A (en) | Multimodal biometric feature recognition module and method for mobile terminal | |
| CN105183163A (en) | Screen or projection non-contact type interaction device based on motion capture | |
| CN105930804A (en) | Power transmission equipment identification platform arranged on unmanned aerial vehicle | |
| CN114063628A (en) | Unmanned aerial vehicle disaster relief system and method based on deep learning and radar detection | |
| WO2020253227A1 (en) | Video processing method, apparatus and device, and video monitoring system | |
| CN112348891A (en) | Image detection and positioning method and device, storage medium and electronic device | |
| CN111551506A (en) | Method for identifying specified material based on smart phone terminal light emitting and collecting system | |
| CN105100341A (en) | Mobile phone with infrared spectrum material analysis function | |
| CN109587628B (en) | Indoor real-time positioning method and device | |
| CN107608570A (en) | What laser ionization air was imaged can touch-control system and touch-control detection method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181207 |
|
| RJ01 | Rejection of invention patent application after publication |