CN108629290A - Age estimation method, device and mobile terminal, storage medium based on structure light - Google Patents
Age estimation method, device and mobile terminal, storage medium based on structure light Download PDFInfo
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- CN108629290A CN108629290A CN201810327450.XA CN201810327450A CN108629290A CN 108629290 A CN108629290 A CN 108629290A CN 201810327450 A CN201810327450 A CN 201810327450A CN 108629290 A CN108629290 A CN 108629290A
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- 238000000034 method Methods 0.000 title claims abstract description 47
- 238000003384 imaging method Methods 0.000 claims description 14
- 230000001815 facial effect Effects 0.000 claims description 9
- 230000001360 synchronised effect Effects 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 14
- 238000005516 engineering process Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 8
- 230000008569 process Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 230000008901 benefit Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000005452 bending Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000001727 in vivo Methods 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
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Classifications
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- 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
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- 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
- G06V40/178—Human faces, e.g. facial parts, sketches or expressions estimating age from face image; using age information for improving recognition
Abstract
The application proposes that a kind of age estimation method, device and mobile terminal, storage medium based on structure light, this method include structure light image of the capture by user's face region；The texture feature information of the user's face is obtained according to the corresponding depth of field data of the structure light image；Age supposition is carried out to the user in conjunction with the texture feature information and default age models.The precision for speculating the age can be effectively promoted by the application, promote user experience degree.
Description
Technical field
This application involves technical field of mobile terminals more particularly to a kind of age estimation method, devices based on structure light
And mobile terminal, storage medium.
Background technology
Under many application scenarios, for example, being answered with class of taking pictures using the U.S. face class application program in electronic equipment in user
Some age presumption models can be preset when with program, in the application program to speculate to the age of user, to realize more
For accurately U.S. face and effect of taking pictures.
In the related technology, age of user is speculated ineffective.
Invention content
The application is intended to solve at least some of the technical problems in related technologies.
The application proposes a kind of age estimation method based on structure light, can effectively promote the precision for speculating the age,
Promote user experience degree.
The application proposes a kind of age estimating unit based on structure light.
The application proposes a kind of mobile terminal.
The application proposes a kind of computer readable storage medium.
The embodiment of the present application proposes a kind of age estimation method based on structure light, including：
The structure light image in user's face region is passed through in capture；
The texture feature information of the user's face is obtained according to the corresponding depth of field data of the structure light image；
Age supposition is carried out to the user in conjunction with the texture feature information and default age models.
The age estimation method based on structure light of the embodiment of the present application, by being captured first by user's face region
Structure light image, the texture feature information of user's face is obtained according to the corresponding depth of field data of structure light image, and combines line
It manages characteristic information and age supposition is carried out to user with default age models, can effectively promote the precision for speculating the age, be promoted
User experience degree.
The embodiment of the present application proposes a kind of age estimating unit based on structure light, including：
Trapping module, for capturing the structure light image by user's face region；
Acquisition module, the texture for obtaining the user's face according to the corresponding depth of field data of the structure light image are special
Reference ceases；
Module is speculated, for being pushed away at the progress age to the user with default age models in conjunction with the texture feature information
It surveys.
The age estimating unit based on structure light of the embodiment of the present application, by being captured first by user's face region
Structure light image, the texture feature information of user's face is obtained according to the corresponding depth of field data of structure light image, and combines line
It manages characteristic information and age supposition is carried out to user with default age models, can effectively promote the precision for speculating the age, be promoted
User experience degree.
The embodiment of the present application proposes a kind of mobile terminal, including：Imaging sensor, memory, microprocessor unit
MCU, processor and it is stored in the executable journey that can be run on the memory and under the credible performing environment of the processor
Sequence code；The MCU connect for the specialized hardware of the credible performing environment with the imaging sensor and the processor,
It is imaged for controlling the imaging sensor, and imaging data is sent to the processor；The processor executes institute
When stating executable program code, the age estimation method based on structure light as described in above-described embodiment is realized.
The embodiment of the present application proposes a kind of computer readable storage medium, is stored thereon with computer program, the program
The age estimation method based on structure light as described in above-described embodiment is realized when being executed by processor.
The additional aspect of the application and advantage will be set forth in part in the description, and will partly become from the following description
It obtains obviously, or recognized by the practice of the application.
Description of the drawings
The application is above-mentioned and/or additional aspect and advantage will become from the following description of the accompanying drawings of embodiments
Obviously and it is readily appreciated that, wherein：
Fig. 1 is the flow diagram for the age estimation method based on structure light that one embodiment of the application proposes；
Fig. 2 is the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application；
Fig. 3 is project structured light principle schematic in the embodiment of the present application；
Fig. 4 is the flow diagram for the age estimation method based on structure light that another embodiment of the application proposes；
Fig. 5 is the flow diagram for the age estimation method based on structure light that another embodiment of the application proposes；
Fig. 6 is the structural schematic diagram for the age estimating unit based on structure light that one embodiment of the application proposes；
Fig. 7 is the structural schematic diagram for the age estimating unit based on structure light that another embodiment of the application proposes；
Fig. 8 is a kind of structural schematic diagram of mobile terminal provided by the embodiments of the present application.
Specific implementation mode
Embodiments herein is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, and is only used for explaining the application, and should not be understood as the limitation to the application.On the contrary, this
The embodiment of application includes all changes fallen within the scope of the spiritual and intension of attached claims, modification and is equal
Object.
Under many application scenarios, for example, being answered with class of taking pictures using the U.S. face class application program in electronic equipment in user
Some age presumption models can be preset when with program, in the application program to speculate to the age of user, to realize more
For accurately U.S. face and effect of taking pictures.
In the related technology, age of user is speculated ineffective.
For this problem, the embodiment of the present application proposes a kind of age estimation method based on structure light, and this method is first
Capture obtains the line of user's face according to the corresponding depth of field data of structure light image by the structure light image in user's face region
Characteristic information is managed, and texture feature information is combined to carry out age supposition to user with default age models, can effectively be promoted
Speculate the precision at age, promotes user experience degree.
Fig. 1 is the flow diagram for the age estimation method based on structure light that one embodiment of the application proposes.
The age estimation method based on structure light can applying electronic equipment, electronic devices structure can be found in Fig. 2.
Fig. 2 is the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application.
As shown in Fig. 2, the electronic equipment includes：It is Laser video camera head 201, floodlight 202, visible image capturing head 203, radium-shine
Lamp 204 and micro controller unit 205 (Microcontroller Unit, abbreviation MCU).Wherein, MCU205 includes that pulse is wide
2051 (Pulse Width Modulation, abbreviation PWM) of degree modulation, depth engine 2052, bus interface 2053 and random
Access memory RAM 2054.
Wherein, PWM2051 is for modulating floodlight 202 so that it sends out infrared light, and modulation color-changing lamp 204 so that its
Send out structure light；Laser video camera head 201, structure light image or visible images for acquiring user's face region；Depth is drawn
2052 are held up, for according to structure light image, calculating the corresponding depth data in obtained user's face region；Bus interface 2053,
For depth data to be sent to processor, and the executable program code by being run on processor executes phase using depth data
The operation answered.
Bus interface 2053 may include MIPI bus interface, I2C synchronous serial bus interface, spi bus interface.
Step 101：The structure light image in user's face region is passed through in capture.
In the related technology, it is the user's face region obtained based on camera, predominantly two dimensional image, using two dimensional image
Age of user is speculated ineffective.Also, the age speculates that process is mainly realized in application, and operating system
(such as android system) is also the system increased income, and safety is not high, once system by hacker attacks, user plane in application program
There is also stolen risks for the information in portion region.
For this purpose, the application proposes a kind of age estimation method based on structure light, solid is got using structure light
Three-dimensional information, the plane information relative to two dimensional image, thus it is speculated that the precision higher at age, and safety also higher.Also,
The data that processing obtains are saved into the micro-control unit (MCU, Micro Controller Unit) of a hardware, are compared
It is safer in the application in preserving.Wherein, MCU may include that pulse width modulates (PWM, Pulse Width
Modulation), depth engine, preset interface and random access memory ram.
The embodiment of the present application, can specifically can to user's face field emission structure light during specific execute
Generating structure light is modulated using the pulse width modulation (PWM, Pulse Width Modulation) in MCU, passes through color-changing lamp
(structured light projection equipment) is to user's face field emission structure light.
In one embodiment of the application, structure light is after being irradiated to user's face region, due to user's face region
Style characteristic, structure light can deform upon, and by acquiring above structure optical information, can obtain one has user's face area
The structure light image of domain profile and depth.
Wherein, the type of structure light may include, laser stripe, Gray code, sine streak or, non-homogeneous speckle etc..
Its concrete principle is illustrated by taking a kind of widely used fringe projection technology as an example, wherein bar shaped projects skill below
Art belongs to sensu lato area-structure light.
When using face structured light projection, as shown in figure 3, Fig. 3 is project structured light principle in the embodiment of the present application
Schematic diagram generates sine streak by PWM, which is projected by color-changing lamp (structured light projection equipment) to measured object
(for example, user's face region), the bending degree modulated by measured object using Laser video camera head shooting striped, demodulates the bent-strip
Line obtains phase, then converts phase to the height of the whole audience.
It should be understood that in practical applications, according to the difference of concrete application scene, employed in the embodiment of the present application
Structure light other than above-mentioned striped, can also be any other pattern.
Step 102：The texture feature information of user's face is obtained according to the corresponding depth of field data of structure light image.
Structure light image can be sent to micro-control unit MCU by the embodiment of the present application during specific execute, and
It is calculated using micro-control unit MCU and obtains the corresponding depth of field data of object.
In order to further improve the security, structure light image can be sent to MCU, to structure light figure in the MCU of hardware
As being handled, compared to application program processing is transmitted directly to, data operation within hardware, hacker can not obtain original
Data, therefore it is safer.
Specifically, using the depth engine (for calculating depth of field data in structure light image) in MCU, demodulation structure light
The corresponding phase information of deformation position pixel in image, then converts phase information to elevation information, is finally believed according to height
Breath determines the corresponding depth of field data of object.
Optionally, in some embodiments, micro controller unit MCU can be utilized to calculate acquisition user's face region corresponding
Depth of field data specifically can be with the corresponding phase information of deformation position pixel in demodulation structure light image, and phase information is turned
Elevation information is turned to, and the corresponding depth of field data in user's face region is determined according to elevation information.
Depth of field data can be provided to by preset interface using journey by the embodiment of the present application during specific execute
Sequence, so that application call depth of field data obtains the texture feature information of user's face.
Wherein, preset interface be meet the bus interface of preset standard, including MIPI (mobile industry processor interface,
Mobile Industry Processor Interface) bus interface, I2C synchronous serial bus interface, spi bus interface.
Application program therein is under credible running environment TEE.
In one embodiment of the application, the depth of field data that depth engine can be calculated is provided by preset interface
To application program.Since above-mentioned bus interface meets security protocol, and application program is in credible running environment (TEE, Trust
Execution Environment) under, therefore application program can safely call depth of field data, to obtain user's face
Texture feature information.
For example, the structure light image based on user's face region, is calculated the depth of field data such as profile, the height of face.
Aforementioned depth of field data calculates in MCU, and application program need to only call the depth of field data, believes with the judgement textural characteristics to prestore
The rule of breath is matched, you can obtains the texture feature information of user's face.
Step 103：Age supposition is carried out to user in conjunction with texture feature information and default age models.
It, can be by application program combination texture feature information and default age models pair in one embodiment of the application
User carries out age supposition, and default age models therein can be age models in the related technology, and the embodiment of the present application is logical
It crosses using the texture feature information of acquisition as auxiliary parameter, is provided to default age models and carries out age supposition, can effectively carry
The precision for speculating the age is risen, user experience degree is promoted.
In the present embodiment, by capturing the structure light image by user's face region first, according to structure light image pair
The depth of field data answered obtains the texture feature information of user's face, and combine texture feature information and default age models to
Family carries out age supposition, can effectively promote the precision for speculating the age, promotes user experience degree.
Fig. 4 is the flow diagram for the age estimation method based on structure light that another embodiment of the application proposes.
Step 401：To user's face field emission infrared light and structure light.
In one embodiment of the application, using the PWM modulation generating structure light in MCU, emitted by color-changing lamp
Structure light, and infrared light is emitted to object by floodlight (infrared transmitter).
Step 402：The infrared image and structure light image in user's face region are passed through in capture.
In one embodiment of the application, it can be captured by object by Laser video camera head (infrared light receiver)
Infrared image and structure light image.
Step 403：Infrared image and structure light image are sent to micro controller unit MCU, and utilize microcontroller list
First MCU handles infrared image and structure light image, to obtain infrared picture data and depth of field data.
Specifically, infrared image and structure light image are handled using the depth engine in MCU, it is infrared to obtain
Image data and depth of field data.
Step 404：Infrared picture data and depth of field data are supplied to application program by preset interface, so that using journey
Sequence calls infrared picture data and depth of field data to obtain the texture feature information of user's face.
In order to further increase the safety of verification, the present embodiment combines infrared image and structure light image, will be above-mentioned
Information is transmitted in the MCU of hardware and is handled, then treated infrared picture data and depth of field data are provided to credible fortune
Application program under row environment obtains the texture feature information of user's face.
For example, In vivo detection can be carried out first with infrared picture data, detects that active user's facial area is to live
When body, depth of field data is recycled further to be obtained texture feature information.It is to shine that user's face region, which can effectively be avoided,
When piece, the useless operation of capture texture feature information is still carried out.
Wherein, texture feature information process is obtained using depth of field data to describe unanimously, in the present embodiment with a upper embodiment
It repeats no more.
In the present embodiment, by user's face field emission infrared light and structure light, and capture by user's face area
The infrared image and structure light image in domain, and infrared image and structure light image are sent to micro-control unit MCU, and utilize
Micro-control unit MCU handles infrared image and structure light image, to obtain infrared picture data and depth of field data, and
Infrared picture data and depth of field data are supplied to application program by preset interface, so that application call infrared image number
Texture feature information is obtained according to depth of field data, infrared image and structure light image combination are put into MCU and protected, is prevented
The information in user's face region is stolen, and further promotes safety.
Fig. 5 is the flow diagram for the age estimation method based on structure light that another embodiment of the application proposes.
Step 501：The visible images of user's facial area are shot, and capture the structure light figure by user's face region
Picture.
In one embodiment of the application, using the PWM modulation generating structure light in MCU, emitted by color-changing lamp
Structure light.Again by the capture of Laser video camera head by the structure light image in user's face region.User is shot by visible image capturing head
The visible images of facial area.
Wherein, it is seen that light video camera head for shooting photo, can record the camera of color information.
Step 502：It will be seen that light image and structure light image are sent to micro controller unit MCU, and utilize microcontroller
Unit MCU handles visible images and structure light image, to obtain visible images data and depth of field data.
Specifically, visible images and structure light image are handled using the depth engine in MCU, it can with acquisition
Light-exposed image data and depth of field data.
Step 503：It will be seen that light image data and depth of field data are supplied to application program by preset interface, so that using
Routine call visible images data and depth of field data obtain the texture feature information of user's face.
In order to further increase the accuracy for obtaining texture feature information, the present embodiment will be seen that light image and structure light figure
As combining, above- mentioned information is transmitted in the MCU of hardware and is handled, then will treated visible images data and depth of field number
Texture feature information is obtained according to the application program being provided under credible running environment.
By will be seen that light image and structure light image combine, the texture that can obtain more rich user's face region is special
Reference ceases, and such as facial wrinkles are of flaccid muscles etc., and relative to structure light image, Expressive Features are more accurate, improves and obtains texture spy
The accuracy of reference breath.
In the present embodiment, by shooting the visible images of user's facial area, and capture by user's face region
Structure light image, and will be seen that light image and structure light image are sent to micro-control unit MCU, and utilize micro-control unit
MCU handles visible images and structure light image, to obtain visible images data and depth of field data, and will be seen that
Light image data and depth of field data are supplied to application program by preset interface, so that application call visible images data
Texture feature information is obtained with depth of field data, infrared image and structure light image are put into MCU and protected, user plane is prevented
The information in portion region is stolen, and promotes safety；And it will be seen that light image and structure light image combine, description textural characteristics are more
It is accurate to add, and improves the accuracy for obtaining texture feature information.
In another embodiment of the application, due to the security level required of certain application programs be not it is especially high,
Visible images and structure light image is not needed to be calculated in MCU.For this purpose, the case where ensureing certain safety
Under, it, can be directly it will be seen that light image be supplied under credible running environment after the visible images of shooting user's facial area
Application program handled, structure light image mitigates the computation burden of MCU still by MCU processing, promotes processing speed
Degree.
Fig. 6 is the structural schematic diagram for the age estimating unit based on structure light that one embodiment of the application proposes.
Referring to Fig. 6, which includes：Trapping module 601, acquisition module 602, and speculate module 603, wherein
Trapping module 601, for capturing the structure light image by user's face region.
Acquisition module 602, the textural characteristics for obtaining user's face according to the corresponding depth of field data of structure light image are believed
Breath.
Module 603 is speculated, for combining texture feature information to carry out age supposition to user with default age models.
Optionally, in some embodiments, referring to Fig. 7, which further includes：
Projection module 604 is used for user's face field emission infrared light and structure light.
Trapping module 601, is specifically used for：
The infrared image and structure light image in user's face region are passed through in capture.
Optionally, in some embodiments, acquisition module 602 is specifically used for：
Infrared image and structure light image are sent to micro controller unit MCU, and using micro controller unit MCU to red
Outer image and structure light image are handled, to obtain infrared picture data and depth of field data；And
Infrared picture data and depth of field data are supplied to application program by preset interface, so that application call is red
Outer image data and depth of field data obtain the texture feature information of user's face.
Optionally, in some embodiments, acquisition module 602 is specifically used for：
The visible images of user's facial area are shot, and capture the structure light image by user's face region；
It will be seen that light image and structure light image are sent to micro controller unit MCU, and utilize MCU pairs of micro controller unit
Visible images and structure light image are handled, to obtain visible images data and depth of field data；And
It will be seen that light image data and depth of field data are supplied to application program by preset interface, so that application call
Visible images data and depth of field data obtain the texture feature information of user's face.
Optionally, in some embodiments, acquisition module 602 is specifically used for：
After the visible images of shooting user's facial area, directly it will be seen that light image is supplied to application program to carry out
Processing.
Optionally, in some embodiments, acquisition module 602 is specifically used for：
The corresponding phase information of deformation position pixel in demodulation structure light image；
Convert phase information to elevation information；
The corresponding depth of field data in user's face region is determined according to elevation information.
Optionally, in some embodiments, application program is under credible running environment TEE.
Optionally, in some embodiments, preset interface is to meet the bus interface of preset standard, including MIPI buses connect
Mouth, I2C synchronous serial bus interface, spi bus interface.
The division of modules is only used for for example, in other implementations in the above-mentioned age estimating unit based on structure light
In example, the age estimating unit based on structure light can be divided into different modules as required, it is above-mentioned based on structure to complete
All or part of function of the age estimating unit of light.
It should be noted that the aforementioned explanation to the age estimation method embodiment based on structure light, is also applied for
The age estimating unit based on structure light of the embodiment, therefore details are not described herein.
In the present embodiment, by capturing the structure light image by user's face region first, according to structure light image pair
The depth of field data answered obtains the texture feature information of user's face, and combine texture feature information and default age models to
Family carries out age supposition, can effectively promote the precision for speculating the age, promotes user experience degree.
The embodiment of the present application also proposes a kind of mobile terminal.
Fig. 8 is a kind of structural schematic diagram of mobile terminal provided by the embodiments of the present application.
In the present embodiment, mobile terminal includes but not limited to the equipment such as mobile phone, tablet computer.
As shown in figure 8, the mobile terminal includes：Imaging sensor 810, memory 820, MCU 830, processor 840 with
And the executable program code that can be run on memory 820 and under the credible performing environment of processor 840 is stored in (in Fig. 8
It is not shown).
Wherein, MCU 830 is the specialized hardware of credible performing environment, is connect with imaging sensor 810 and processor 840,
It is imaged for controlling imaging sensor 810, and imaging data is sent to processor 840.
When processor 840 executes executable program code, the age supposition side based on structure light of previous embodiment is realized
Method.
In a kind of possible realization method of the present embodiment, carried out by cipher mode between MCU 830 and processor 840
Communication.
In the present embodiment, MCU 830 can take ranks pixel disorder method that image is encrypted.Specifically, MCU
830 can carry out the Pixel Information in artwork rearrangement, and processor can restore original by one-to-one relationship
Image.
The image encryption method based on chaos can also be used in MCU 830, specifically, generates 2 Logistic chaos sequences,
2 Logistic are transformed, obtain two y sequences, carrying out value by yl and y2 sequence pairs original image substitutes encryption.Wherein, secret key is
The initial state value of chaos system.
In a kind of possible realization method of the present embodiment, imaging sensor 810 may include：Infrared sensor, structure light
Imaging sensor and visible light image sensor.
Wherein, infrared sensor includes Laser video camera head and floodlight；Structure light image sensor includes：Color-changing lamp, with
And the Laser video camera head shared with infrared sensor, it is seen that optical image sensor includes：Visible image capturing head.
In a kind of possible realization method of the present embodiment, MCU 830 include PWM, depth engine, bus interface and
RAM。
Wherein, PWM is used to modulate floodlight so as to send out infrared light, and modulation color-changing lamp is to send out structure light；
Laser video camera head, for capturing the structure light image by user's face region；
Depth engine, the texture feature information for obtaining user's face according to the corresponding depth of field data of structure light image；
And
Bus interface, for texture feature information to be sent to processor 840, and by processor 840 in credible execution ring
Texture feature information is combined to carry out age supposition to user with default age models in border.
Detailed process can be found in above-described embodiment, and details are not described herein.
The embodiment of the present application also proposes a kind of computer readable storage medium, is stored thereon with computer program, the program
The age estimation method based on structure light such as previous embodiment is realized when being executed by processor.
It should be noted that in the description of the present application, term " first ", " second " etc. are used for description purposes only, without
It can be interpreted as indicating or implying relative importance.In addition, in the description of the present application, unless otherwise indicated, the meaning of " multiple "
It is two or more.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the application includes other realization, wherein can not press shown or discuss suitable
Sequence, include according to involved function by it is basic simultaneously in the way of or in the opposite order, to execute function, this should be by the application
Embodiment person of ordinary skill in the field understood.
It should be appreciated that each section of the application can be realized with hardware, software, firmware or combination thereof.Above-mentioned
In embodiment, software that multiple steps or method can in memory and by suitable instruction execution system be executed with storage
Or firmware is realized.It, and in another embodiment, can be under well known in the art for example, if realized with hardware
Any one of row technology or their combination are realized：With the logic gates for realizing logic function to data-signal
Discrete logic, with suitable combinational logic gate circuit application-specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
Those skilled in the art are appreciated that realize all or part of step that above-described embodiment method carries
Suddenly it is that relevant hardware can be instructed to complete by program, the program can be stored in a kind of computer-readable storage medium
In matter, which includes the steps that one or a combination set of embodiment of the method when being executed.
In addition, each functional unit in each embodiment of the application can be integrated in a processing module, it can also
That each unit physically exists alone, can also two or more units be integrated in a module.Above-mentioned integrated mould
The form that hardware had both may be used in block is realized, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized in the form of software function module and when sold or used as an independent product, can also be stored in a computer
In read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is contained at least one embodiment or example of the application.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiments or example in can be combined in any suitable manner.
Although embodiments herein has been shown and described above, it is to be understood that above-described embodiment is example
Property, it should not be understood as the limitation to the application, those skilled in the art within the scope of application can be to above-mentioned
Embodiment is changed, changes, replacing and modification.
Claims (13)
1. a kind of age estimation method based on structure light, which is characterized in that include the following steps：
The structure light image in user's face region is passed through in capture；
The texture feature information of the user's face is obtained according to the corresponding depth of field data of the structure light image；
Age supposition is carried out to the user in conjunction with the texture feature information and default age models.
2. the age estimation method based on structure light as described in claim 1, which is characterized in that pass through user in the capture
Before the structure light image of facial area, further include：
To the user's face field emission infrared light and structure light；
The structure light image in user's face region is passed through in the capture, including：
Infrared image and the structure light image of the capture by the user's face region.
3. the age estimation method based on structure light as claimed in claim 2, which is characterized in that described according to the structure light
The corresponding depth of field data of image obtains the texture feature information of the user's face, including：
The infrared image and the structure light image are sent to micro controller unit MCU, and utilize the microcontroller list
First MCU handles the infrared image and the structure light image, to obtain infrared picture data and the depth of field data；
And
The infrared picture data and the depth of field data are supplied to application program by preset interface, so that described apply journey
Sequence calls the infrared picture data and the depth of field data to obtain the texture feature information of the user's face.
4. the age estimation method based on structure light as described in claim 1, which is characterized in that further include：
The visible images in the user's face region are shot, and capture the structure light image by the user's face region；
The visible images and the structure light image are sent to micro controller unit MCU, and utilize the microcontroller
Unit MCU handles the visible images and the structure light image, to obtain visible images data and the scape
Deep data；And
The visible images data and the depth of field data are supplied to application program by preset interface, so that the application
Visible images data and the depth of field data described in routine call obtain the texture feature information of the user's face.
5. the age estimation method based on structure light as claimed in claim 4, which is characterized in that further include：
After the visible images for shooting the user's face region, the visible images are directly supplied to the application
Program is handled.
6. the age estimation method based on structure light as described in claim 3 or 4, which is characterized in that utilize the microcontroller
Device unit MCU, which is calculated, obtains the corresponding depth of field data in the user's face region, including：
Demodulate the corresponding phase information of deformation position pixel in the structure light image；
Convert the phase information to elevation information；
The corresponding depth of field data in the user's face region is determined according to the elevation information.
7. such as age estimation method of claim 3 to 5 any one of them based on structure light, which is characterized in that the application
Program is under credible running environment TEE.
8. such as age estimation method of claim 3 to 4 any one of them based on structure light, which is characterized in that described default
Interface is to meet the bus interface of preset standard, including MIPI bus interface, I2C synchronous serial bus interface, spi bus connect
Mouthful.
9. a kind of age estimating unit based on structure light, which is characterized in that including：
Trapping module, for capturing the structure light image by user's face region；
Acquisition module, the textural characteristics for obtaining the user's face according to the corresponding depth of field data of the structure light image are believed
Breath；
Module is speculated, for carrying out age supposition to the user in conjunction with the texture feature information and default age models.
10. the age estimating unit based on structure light as claimed in claim 9, which is characterized in that further include：
Projection module is used for the user's face field emission infrared light and structure light；
The trapping module, is specifically used for：
Infrared image and the structure light image of the capture by the user's face region.
11. a kind of mobile terminal, which is characterized in that including：Imaging sensor, memory, microprocessor unit MCU, processor
And it is stored in the executable program code that can be run on the memory and under the credible performing environment of the processor；It is described
MCU is the specialized hardware of the credible performing environment, is connect with the imaging sensor and the processor, for controlling
It states imaging sensor to be imaged, and imaging data is sent to the processor；The processor executes the executable journey
When sequence code, the age estimation method based on structure light as described in any one of claim 1-8 is realized.
12. mobile terminal according to claim 11, which is characterized in that by adding between the MCU and the processor
Close mode is communicated.
13. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The age estimation method based on structure light as described in any one of claim 1-8 is realized when execution.
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