CN108960179A - A kind of image processing method and mobile terminal - Google Patents
A kind of image processing method and mobile terminal Download PDFInfo
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- CN108960179A CN108960179A CN201810775766.5A CN201810775766A CN108960179A CN 108960179 A CN108960179 A CN 108960179A CN 201810775766 A CN201810775766 A CN 201810775766A CN 108960179 A CN108960179 A CN 108960179A
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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
- G06V40/161—Detection; Localisation; Normalisation
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- 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
- G06V10/143—Sensing or illuminating at different wavelengths
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
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Abstract
The present invention provides a kind of image processing method and mobile terminal, wherein the mobile terminal includes the infrared RGB-IR image processing apparatus of RGB;Described image data processing method includes: acquisition ambient light intensity, when the ambient light intensity is lower than default luminous intensity, starts infrared light supply;Obtain the face IR image of the RGB-IR image processing apparatus acquisition;The face IR image is compared with the facial image prestored, when the face IR image is matched with the facial image prestored, then recognition of face success;When the face IR image and the non-matching facial image prestored, then recognition of face fails.Technical solution provided by the invention solves existing RGB-IR sensor in the weaker environment of the light such as night, the low problem of recognition of face successful match rate.
Description
Technical field
The present invention relates to field of communication technology more particularly to a kind of image processing methods and mobile terminal.
Background technique
Recognition of face is as a kind of non-contacting identification method, it is only necessary to the facial image for obtaining people, by facial special
Sign comparative analysis can realize identification function, be a kind of more convenient, accurate identification technology, be widely used in mobile whole
In end.With RGB-IR (Red Green Blue Infrared Radiation, RGB are infrared) sensor process at
Ripe, RGB-IR sensor is increasingly applied in mobile terminal to carry out image procossing.But the light such as night or interior compared with
When in weak environment, the image effect of RGB-IR sensor acquisition is poor, so that the successful match rate of recognition of face is lower.
Summary of the invention
The embodiment of the present invention provides a kind of image processing method and mobile terminal, to solve existing RGB-IR sensing
Device is in the weaker environment of the light such as night, the low problem of recognition of face successful match rate.
In order to solve the above-mentioned technical problem, the present invention is implemented as follows:
In a first aspect, being applied to mobile terminal, the shifting the embodiment of the invention provides a kind of image processing method
Dynamic terminal includes the infrared RGB-IR image processing apparatus of RGB;The described method includes:
Obtain ambient light intensity;
When the ambient light intensity is lower than default luminous intensity, start infrared light supply;
Obtain the face IR image of the RGB-IR image processing apparatus acquisition;
The face IR image is compared with the facial image prestored, when the face IR image and the face prestored
When images match, then recognition of face success;When the face IR image and the non-matching facial image prestored, then recognition of face
Failure.
Second aspect, the embodiment of the invention also provides a kind of mobile terminal, the mobile terminal includes RGB-IR image
Processing unit;The mobile terminal further include:
First obtains module, for obtaining ambient light intensity;
Starting module, for starting infrared light supply when the ambient light intensity is lower than default luminous intensity;
Second obtains module, for obtaining the face IR image of the RGB-IR image processing apparatus acquisition;
Comparison module, for the face IR image to be compared with the facial image prestored, when the face IR schemes
As when matching with the facial image prestored, then recognition of face is successful;When the face IR image and prestore facial image non-
Timing, then recognition of face fails.
The third aspect the embodiment of the invention also provides a kind of mobile terminal, including processor, memory and is stored in institute
The computer program that can be run on memory and on the processor is stated, when the computer program is executed by the processor
The step of realizing the image processing method as described in first aspect.
Fourth aspect, the embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer
Program realizes the step of the image processing method as described in first aspect when the computer program is executed by processor
Suddenly.
In the embodiment of the present invention, ambient light intensity is obtained, and when the ambient light intensity is lower than default luminous intensity, starting
Infrared light supply, to obtain the face IR image of RGB-IR image processing apparatus acquisition, by the face IR image and the people prestored
Face image is compared, when the face IR image is matched with the facial image prestored, then recognition of face success;As the people
When face IR image and the facial image prestored are non-matching, then recognition of face fails.In this way, making mobile terminal weaker in luminous intensity
Environment in, face IR image is obtained by starting infrared light supply, completes recognition of face;Visible light recognition of face is compensated for exist
The low defect of successful match rate in the weak environment of luminous intensity, it is ensured that the face identification functions of mobile terminal will not be by environmental light intensity
The influence of degree improves the success rate of mobile terminal recognition of face.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, needed in being described below to the embodiment of the present invention
Attached drawing to be used is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention,
For those of ordinary skill in the art, without any creative labor, it can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is a kind of flow chart of image processing method provided in an embodiment of the present invention;
Fig. 2 is the flow chart of another image processing method provided in an embodiment of the present invention;
Fig. 3 be in application drawing 2 in the mobile terminal of method on RGB-IR image processing apparatus photosensitive pixel array one kind
Arrangement mode schematic diagram;
Fig. 4 be in application drawing 2 in the mobile terminal of method on RGB-IR image processing apparatus photosensitive pixel array it is another
Kind arrangement mode schematic diagram;
Fig. 5 is a kind of structure chart of mobile terminal provided in an embodiment of the present invention;
Fig. 6 is the structure chart of another mobile terminal provided in an embodiment of the present invention;
Fig. 7 is the structure chart of another mobile terminal provided in an embodiment of the present invention;
Fig. 8 is the structure chart of another mobile terminal provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
Referring to Figure 1, Fig. 1 is a kind of flow chart of image processing method provided in an embodiment of the present invention, the figure
As data processing method is applied to the mobile terminal including RGB-IR image processing apparatus.As shown in Figure 1, at described image data
Reason method the following steps are included:
Step 101 obtains ambient light intensity.
It is to be appreciated that the ambient light intensity can be positioned at indoor ambient light intensity, such as the environment of indoor light
Luminous intensity is also possible to outdoor ambient light intensity, such as the ambient light intensity of natural light.
Step 102, when the ambient light intensity is lower than default luminous intensity, start infrared light supply.
It needs explanatorily, the RGB-IR image processing apparatus includes RGB-IR sensor and bilateral optical filter, described
RGB-IR sensor includes photosensitive pixel array, includes IR component pixel, R component pixel, G component in the photosensitive pixel array
Pixel and B component pixel, above-mentioned four kinds of component pixels are in array distribution in different alignments.
It is set to above the photosensitive pixel array for example, the bilateral optical filter can be, and the bilateral optical filter
Including filter unit array, the filter unit includes colorized optical filtering area and infrared filtering area.It is closed for obtaining in colorized optical filtering area
At the color information of the pixel of image, passing through for infrared ray can be stopped, it is color to be generated in the environment of with intensity of illumination
Chromatic graph picture, such as RGB image.Infrared filtering area is for passing through specific infrared ray;In the embodiment of the present invention, the infrared filtering area
For IR filter area, for passing through 850nm or so or the infrared ray of 940nm or so wavelength, to generate IR image.Bilateral optical filter
Setting, RGB image and IR image can be obtained simultaneously by also allowing for mobile terminal by a RGB-IR sensor, be saved
The space of mobile terminal.
In addition, the mobile terminal is equipped with infrared light supply, the infrared light supply can be infrared LED lamp, infrared laser lamp
Deng.The infrared light supply can be to be arranged close to the RGB-IR image processing apparatus, the infrared light supply and the RGB-IR
Image processing apparatus is all connected with the processor of the mobile terminal.
In the embodiment of the present invention, it can be in RGB-IR image processing apparatus starting, by being set to mobile terminal
Optical inductor detection ambient light intensity whether be lower than default luminous intensity;And when ambient light intensity is lower than default luminous intensity, open
Dynamic infrared light supply.For example, when user is in the lower rainy weather of night either luminous intensity, if starting the RGB-IR image
Processing unit carries out recognition of face, and mobile terminal can control starting infrared light supply at this time.
It should be noted that the embodiment of the present invention can also be limited to, if detecting the RGB-IR image processing apparatus
When current tupe is photographing mode, then it not will start infrared light supply.That is, only at the RGB-IR image
When to manage the current tupe of device be recognition of face mode, and when current ambient light intensity is lower than default luminous intensity,
It will start infrared light supply.
Step 103, the face IR image for obtaining the acquisition of RGB-IR image processing apparatus.
It is recognition of face mode in the current tupe of the RGB-IR image processing apparatus in the embodiment of the present invention,
And when infrared light supply unlatching, infrared light is reflected through face and is received on RGB-IR sensor, and the IR component pixel that will acquire is closed
At face IR image.
It is to be appreciated that the RGB-IR sensor includes photosensitive pixel array, also allow at the RGB-IR image
Reason device can get R component pixel, G component pixel and B component pixel for combined color image simultaneously, and be used for
Synthesize the IR component pixel of infrared image.In the embodiment of the present invention, when carrying out recognition of face, mobile terminal can be selection pair
R component pixel, G component pixel and the B component pixel of acquisition do not do synthesis processing, and the IR component pixel that only will acquire is done
Synthesis processing, to synthesize face IR image, and completes face recognition operation.Alternatively, mobile terminal is also possible to according to the sense
The arrangement mode of light image pixel array pointedly obtains IR component pixel therein.For example, working as the row of the photosensitive pixel array
Column mode are as follows: odd-line pixels are arranged successively by the sequence of R component pixel, G component pixel, and even rows press IR component picture
Plain, B component pixel sequence is arranged successively, and mobile terminal can choose the pixel for only obtaining even number line, and to the B component of acquisition
Pixel is not processed, and the IR component pixel that only will acquire does synthesis processing, to synthesize face IR image, and completes face knowledge
It does not operate.
The face IR image is compared step 104 with the facial image prestored, when the face IR image and in advance
When the facial image matching deposited, then recognition of face success;When the face IR image and the non-matching facial image prestored, then
Recognition of face failure.
It should be noted that the facial image prestored is the face figure for being pre-stored within multiple users of mobile terminal
Picture;As the face IR image for getting the RGB-IR image processing apparatus acquisition, the people that will acquire by preset algorithm
Face IR image is compared with the facial image prestored, if the face IR image and the facial image prestored
Match, then determine the recognition of face successful match, face identification functions are applied with unlocking screen, the payment etc. of completing mobile terminal
Operation;If the face IR image and the facial image prestored are non-matching, recognition of face failure cannot also be completed to move
The operation of face identification functions in terminal, such as unlocking screen, payment, it is ensured that the safety of mobile terminal.
In the embodiment of the present invention, described image data processing method can also include:
The two adjacent row pixel datas being successively read in pixel array, and obtain R component pixel therein, G component picture
Element and B component pixel;
The R component pixel, G component pixel and the B component pixel synthesis RGB image that will acquire.
For example, when current environment luminous intensity is greater than default luminous intensity, if detecting the RGB-IR image processing apparatus
Current tupe is photographing mode, and environment light is photographed object reflection and received by RGB-IR sensor, is successively read
Two adjacent row pixel datas in the RGB-IR sensor photosensitive pixel array, and then acquisition R component pixel therein, G points
Pixel and B component pixel are measured, to synthesize RGB image.The RGB image can be shown in the display interface of mobile terminal, according to
The operation of user is stored in the storage file of mobile terminal, or removes.
Alternatively, when current environment luminous intensity is greater than default luminous intensity, if detecting the RGB-IR image processing apparatus
Current tupe is recognition of face mode, and environment light is reflected through face and received by RGB-IR sensor, obtains R therein
Component pixel, G component pixel and B component pixel, to synthesize RGB facial image;By the face RGB image and the face prestored
Image is compared, to complete recognition of face.That is, being not necessarily in the case where ambient light intensity is greater than default luminous intensity
Start infrared light supply, completes recognition of face by obtaining face RGB image;It is less than the feelings of default luminous intensity in ambient light intensity
Under condition, start infrared light supply, completes recognition of face by obtaining face IR image.In this way, also ensuring that mobile terminal
Face identification functions can complete recognition of face no matter under which kind of luminous intensity environment, guarantee normally making for face identification functions
With.
Technical solution provided in an embodiment of the present invention starts infrared when current environment luminous intensity is lower than default luminous intensity
Light source obtains the face IR image of RGB-IR image processing apparatus acquisition, by the face IR image and the facial image prestored
It is compared, to complete recognition of face.In this way, mobile terminal is also allowed in the weaker environment of luminous intensity, it is red by starting
Outer light source obtains face IR image, completes recognition of face;Visible light recognition of face is compensated in the weak environment of luminous intensity
With low success rate of defect, it is ensured that the face identification functions of mobile terminal will not be influenced by ambient light intensity, guarantee movement
The normal use of terminal face identification functions.
Fig. 2 is referred to, Fig. 2 is the flow chart of another image processing method provided in an embodiment of the present invention, described
Image processing method is applied to the mobile terminal including RGB-IR image processing apparatus.As shown in Fig. 2, described image data
Processing method the following steps are included:
Step 201 obtains ambient light intensity.
The step can refer to the step 101 in embodiment illustrated in fig. 1 and be implemented, to avoid repeating, the embodiment of the present invention
In this is not repeated.
Step 202, when the ambient light intensity is lower than default luminous intensity, start infrared light supply.
The step can refer to the step 102 in embodiment illustrated in fig. 1 and be implemented, to avoid repeating, the embodiment of the present invention
In this is not repeated.
Step 203, when determine pixel array arrangement mode be first order mode when, using the first data processing method
The IR component pixel of the RGB-IR image processing apparatus acquisition is obtained, and synthesizes face IR image.
Wherein, the first order mode are as follows: odd-line pixels include R component pixel and G component pixel, even rows
Including IR component pixel and B component pixel.For example, the arrangement mode of the photosensitive pixel array may also is that odd-line pixels
By R component pixel, G component pixel, the sequence cycle arrangement of G component pixel, even rows press IR component pixel, B component picture
The sequence cycle arrangement of element, B component pixel.Alternatively, referring to figure 3., the arrangement mode of the photosensitive pixel array are as follows: odd-numbered line
Pixel press R component pixel, the sequence cycle arrangement of G component pixel, even rows by IR component pixel, B component pixel it is suitable
Sequence cycle arrangement.
In the embodiment of the present invention, the step 203 may include:
When the arrangement mode for determining the pixel array is first order mode, even rows data are successively read,
And obtain the IR component pixel in the even rows data;
The IR component pixel synthesis face IR image that will acquire.
It is to be appreciated that IR component pixel is only set to even number line, for IR in the first order mode of photosensitive pixel array
The acquisition of component pixel then can be and be successively read even rows data, and extract IR component pixel therein, and will extract
IR component pixel synthesize face IR image.For the B component pixel of even number line, it can be and removed, or be cached in
In mobile terminal.In this way, the data storage for saving mobile terminal is empty it is not necessary that odd-line pixels data are obtained and handled
Between, also improve the image real time transfer ability of mobile terminal.
It should be noted that the step 203 is it may also is that when the arrangement mode for determining the pixel array is first row
When column mode, an odd-line pixels data and an even rows data adjacent thereto are successively read, and extract IR therein
Component pixel, and the IR component pixel of extraction is synthesized into face IR image.By the R component pixel, G component pixel and B of reading point
It measures pixel to remove, or is cached in mobile terminal, do not do synthesis processing.
Step 204, when determine pixel array arrangement mode be second order mode when, using the second data processing method
The IR component pixel of the RGB-IR image processing apparatus acquisition is obtained, and synthesizes face IR image.
Wherein, the second order mode are as follows: odd-line pixels include R component pixel, G component pixel and IR component picture
Element, even rows include IR component pixel, B component pixel and R component pixel;Above-mentioned component pixel can be by different arrangements
Mode is arranged.For example, the arrangement mode of the photosensitive pixel array can be, odd-line pixels are by R component pixel, G points
Pixel, IR component pixel, the sequence cycle arrangement of B component pixel are measured, the even rows press IR component pixel, B component picture
Element, R component pixel, the sequence of G component pixel are arranged successively.Alternatively, referring to figure 4., the arrangement side of the photosensitive pixel array
Formula are as follows: odd-line pixels press R component pixel, G component pixel, IR component pixel, the sequence cycle arrangement of G component pixel, described
Even rows are arranged successively by the sequence of IR component pixel, B component pixel, R component pixel, B component pixel.
In the embodiment of the present invention, the step 204 may include:
When the arrangement mode for determining the pixel array is second order mode, it is successively read an odd-line pixels data
And an even rows data adjacent with the odd-line pixels, and obtain the odd-line pixels data and the even number line
IR component pixel in pixel data;
The IR component pixel synthesis face IR image that will acquire.
It is to be appreciated that including IR component in odd-numbered line and even number line when photosensitive pixel array is second order mode
Pixel can be successively read two row data under upper according to the sequence in such as Fig. 4, that is, an odd-line pixels data and
The even rows data adjacent with the odd-line pixels extract IR pixel component therein, and the IR picture that will acquire
Prime component synthesizes face IR image.The R component pixel, G component pixel and B component pixel of reading are removed, or are cached in
Mobile terminal does not do synthesis processing.
In addition, the step 204 may be used also when the arrangement mode of the photosensitive pixel array is the arrangement mode in Fig. 4
To include: to be successively read odd column pixel data, and obtain the IR component pixel in the odd column pixel data, will acquire
The IR component pixel synthesizes face IR image.For the R component pixel of the odd column of acquisition, it can be and removed, or
It is to be cached in mobile terminal.In this way, being obtained and being handled without dual sequence pixel data, the number of mobile terminal is saved
According to memory space, the image real time transfer ability of mobile terminal is also improved.
The face IR image is compared step 205 with the facial image prestored, when the face IR image and in advance
When the facial image matching deposited, then recognition of face success;When the face IR image and the non-matching facial image prestored, then
Recognition of face failure.
The step can refer to the step 104 in embodiment illustrated in fig. 1 and be implemented, to avoid repeating, the embodiment of the present invention
In this is not repeated.
It should be noted that described image data processing method can also include:
The two adjacent row pixel datas being successively read in the pixel array, and obtain R component pixel therein, G point
Measure pixel and B component pixel;
The R component pixel, G component pixel and the B component pixel synthesis RGB image that will acquire.
For example, when current environment luminous intensity is greater than default luminous intensity, if detecting the RGB-IR image processing apparatus
Current tupe is photographing mode, and environment light is photographed object reflection and received by RGB-IR sensor, is successively read
Two adjacent row pixel datas in the RGB-IR sensor photosensitive pixel array, and then acquisition R component pixel therein, G points
Pixel and B component pixel are measured, to synthesize RGB image.The RGB image can be shown in the display interface of mobile terminal, according to
The operation of user is stored in the storage file of mobile terminal, or removes.
Alternatively, when current environment luminous intensity is greater than default luminous intensity, if detecting the RGB-IR image processing apparatus
Current tupe is recognition of face mode, and environment light is reflected through face and received by RGB-IR sensor, obtains R therein
Component pixel, G component pixel and B component pixel, to synthesize RGB facial image;By the face RGB image and the face prestored
Image is compared, to complete recognition of face.That is, being not necessarily in the case where ambient light intensity is greater than default luminous intensity
Start infrared light supply, completes recognition of face by obtaining face RGB image;It is less than the feelings of default luminous intensity in ambient light intensity
Under condition, start infrared light supply, completes recognition of face by obtaining face IR image.
In the embodiment of the present invention, the arrangement mode that mobile terminal can be different according to photosensitive pixel array, using different numbers
The IR component pixel of RGB-IR image processing apparatus acquisition is obtained according to processing mode, to synthesize face IR image, completes face
Identification, so that the image real time transfer of mobile terminal is more targeted, improves the image real time transfer ability of mobile terminal.Separately
Outside, mobile terminal obtains face IR image by starting infrared light supply in the weaker environment of luminous intensity, completes face and knows
Not;It ensures that the face identification functions of mobile terminal will not be influenced by ambient light intensity, improves mobile terminal recognition of face
Low success rate.
The embodiment of the present invention also provides a kind of mobile terminal, and the mobile terminal includes RGB-IR image processing apparatus.Such as
Shown in Fig. 5, mobile terminal 500 provided in an embodiment of the present invention includes:
First obtains module 501, for obtaining ambient light intensity;
Starting module 502, for starting infrared light supply when the ambient light intensity is lower than default luminous intensity;
Second obtains module 503, for obtaining the face IR image of the RGB-IR image processing apparatus acquisition;
Comparison module 504, for the face IR image to be compared with the facial image prestored, as the face IR
When image is matched with the facial image prestored, then recognition of face success;When the face IR image and the facial image that prestores are non-
When matching, then recognition of face fails.
Optionally, the second acquisition module 503 is also used to:
When the arrangement mode for determining pixel array is first order mode, using described in the acquisition of the first data processing method
The IR component pixel of RGB-IR image processing apparatus acquisition, and synthesize face IR image;
When the arrangement mode for determining pixel array is second order mode, using described in the acquisition of the second data processing method
The IR component pixel of RGB-IR image processing apparatus acquisition, and synthesize face IR image;
Wherein, the first order mode are as follows: odd-line pixels include R component pixel and G component pixel, even rows
Including IR component pixel and B component pixel;
The second order mode are as follows: odd-line pixels include R component pixel, G component pixel and IR component pixel, even number
Row pixel includes IR component pixel, B component pixel and R component pixel.
Optionally, Fig. 6 is please referred to, the second acquisition module 503 includes:
First acquisition submodule 5031, for when determine the pixel array arrangement mode be first order mode when,
Even rows data are successively read, and obtain the IR component pixel in the even rows data;
First synthesis submodule 5032, the IR component pixel for will acquire synthesize face IR image.
Optionally, Fig. 7 is please referred to, the second acquisition module 503 includes:
Second acquisition submodule 5033, for when determine the pixel array arrangement mode be second order mode when,
An odd-line pixels data and an even rows data adjacent with the odd-line pixels are successively read, and obtain the surprise
IR component pixel in several rows of pixel datas and the even rows data;
Second synthesis submodule 5034, the IR component pixel for will acquire synthesize face IR image.
Optionally, the mobile terminal 500 further include:
Read module, the two adjacent row pixel datas for being successively read in the pixel array, and obtain R therein
Component pixel, G component pixel and B component pixel;
Synthesis module, the R component pixel, G component pixel and B component pixel for will acquire synthesize RGB image.
Mobile terminal provided in an embodiment of the present invention can be realized mobile terminal in the embodiment of the method for Fig. 1 to Fig. 4 and realize
Each process, to avoid repeating, which is not described herein again.
In the embodiment of the present invention, first, which obtains module 501, obtains ambient light intensity, in the ambient light intensity lower than default
When luminous intensity, starting module 502 starts infrared light supply, and second, which obtains module 503, obtains the acquisition of RGB-IR image processing apparatus
The face IR image is compared with the facial image prestored for face IR image, comparison module 504, when the face IR schemes
As when matching with the facial image prestored, then recognition of face is successful;When the face IR image and prestore facial image non-
Timing, then recognition of face fails.In this way, mobile terminal 500 is also allowed in the weaker environment of luminous intensity, it is infrared by starting
Light source obtains face IR image, completes recognition of face;Visible light recognition of face is compensated for match in the weak environment of luminous intensity
Low success rate of defect, it is ensured that the face identification functions of mobile terminal 500 will not be influenced by ambient light intensity, guarantee movement
The normal use of 500 face identification functions of terminal.
Please refer to Fig. 8, the structure chart of Fig. 8 another mobile terminal of embodiment to realize the present invention, the mobile terminal
It can be realized each process that mobile terminal is realized in the embodiment of the method for Fig. 1 to Fig. 4, and reach identical technical effect.It should
Mobile terminal 800 includes but is not limited to: radio frequency unit 801, network module 802, audio output unit 803, input unit 804,
Sensor 805, display unit 806, user input unit 807, interface unit 808, memory 809, processor 810, Yi Ji electricity
The components such as source 811.It will be understood by those skilled in the art that mobile terminal structure shown in Fig. 8 is not constituted to mobile terminal
Restriction, mobile terminal may include perhaps combining certain components or different components than illustrating more or fewer components
Arrangement.In embodiments of the present invention, mobile terminal include but is not limited to mobile phone, tablet computer, laptop, palm PC,
Car-mounted terminal, wearable device and pedometer etc..It should be noted that the mobile terminal 800 includes at RGB-IR image
Manage device (not shown).
Wherein, processor 810 are used for:
Obtain ambient light intensity;
When the ambient light intensity is lower than default luminous intensity, start infrared light supply;
Obtain the face IR image of the RGB-IR image processing apparatus acquisition;
The face IR image is compared with the facial image prestored, when the face IR image and the face prestored
When images match, then recognition of face success;When the face IR image and the non-matching facial image prestored, then recognition of face
Failure.
Wherein, processor 810 are also used to:
When the arrangement mode for determining pixel array is first order mode, using described in the acquisition of the first data processing method
The IR component pixel of RGB-IR image processing apparatus acquisition, and synthesize face IR image;
When the arrangement mode for determining pixel array is second order mode, using described in the acquisition of the second data processing method
The IR component pixel of RGB-IR image processing apparatus acquisition, and synthesize face IR image.
Wherein, the first order mode are as follows: odd-line pixels include R component pixel and G component pixel, even rows
Including IR component pixel and B component pixel;
The second order mode are as follows: odd-line pixels include R component pixel, G component pixel and IR component pixel, even number
Row pixel includes IR component pixel, B component pixel and R component pixel.
Wherein, processor 810 are also used to:
When the arrangement mode for determining the pixel array is first order mode, even rows data are successively read,
And obtain the IR component pixel in the even rows data;
The IR component pixel synthesis face IR image that will acquire.
Wherein, processor 810 are also used to:
When the arrangement mode for determining the pixel array is second order mode, it is successively read an odd-line pixels data
And an even rows data adjacent with the odd-line pixels, and obtain the odd-line pixels data and the even number line
IR component pixel in pixel data;
The IR component pixel synthesis face IR image that will acquire.
Wherein, processor 810 are also used to:
The two adjacent row pixel datas being successively read in the pixel array, and obtain R component pixel therein, G point
Measure pixel and B component pixel;
The R component pixel, G component pixel and the B component pixel synthesis RGB image that will acquire.
Mobile terminal provided in an embodiment of the present invention can be realized mobile whole in above-mentioned image processing method embodiment
The each process realized is held, to avoid repeating, which is not described herein again.
In the embodiment of the present invention, mobile terminal 800 obtains ambient light intensity, is lower than default light intensity in the ambient light intensity
When spending, start infrared light supply, obtain the face IR image of RGB-IR image processing apparatus acquisition, by the face IR image and in advance
The facial image deposited is compared, to complete recognition of face.In this way, also allowing for the mobile terminal environment weaker in luminous intensity
In, face IR image is obtained by starting infrared light supply, completes recognition of face;Visible light recognition of face is compensated in luminous intensity
The low defect of successful match rate in weak environment, it is ensured that the face identification functions of mobile terminal will not be by the shadow of ambient light intensity
It rings, guarantees the normal use of mobile terminal face identification functions.
It should be understood that the embodiment of the present invention in, radio frequency unit 801 can be used for receiving and sending messages or communication process in, signal
Send and receive, specifically, by from base station downlink data receive after, to processor 810 handle;In addition, by uplink
Data are sent to base station.In general, radio frequency unit 801 includes but is not limited to antenna, at least one amplifier, transceiver, coupling
Device, low-noise amplifier, duplexer etc..In addition, radio frequency unit 801 can also by wireless communication system and network and other set
Standby communication.
Mobile terminal 800 provides wireless broadband internet by network module 802 for user and accesses, and such as helps user
It sends and receive e-mail, browse webpage and access streaming video etc..
Audio output unit 803 can be received by radio frequency unit 801 or network module 802 or in memory 809
The audio data of storage is converted into audio signal and exports to be sound.Moreover, audio output unit 803 can also be provided and be moved
The relevant audio output of specific function that dynamic terminal 800 executes is (for example, call signal receives sound, message sink sound etc.
Deng).Audio output unit 803 includes loudspeaker, buzzer and receiver etc..
Input unit 804 is for receiving audio or video signal.Input unit 804 may include graphics processor
(Graphics Processing Unit, GPU) 8041 and microphone 8042, graphics processor 8041 is in video acquisition mode
Or the image data of the static images or video obtained in image capture mode by image capture apparatus (such as camera) carries out
Reason.Treated, and picture frame may be displayed on display unit 806.Through graphics processor 8041, treated that picture frame can be deposited
Storage carries out in memory 809 (or other computer readable storage mediums) or via radio frequency unit 801 or network module 802
It sends.Microphone 8042 can receive sound, and can be audio data by such acoustic processing.Treated audio number
According to that can be converted in the case where telephone calling model, the format that can be sent to mobile communication base station via radio frequency unit 801 is defeated
Out.
Mobile terminal 800 further includes at least one sensor 805, such as optical sensor, motion sensor and other biographies
Sensor.Specifically, optical sensor includes ambient light sensor and proximity sensor, wherein ambient light sensor can be according to environment
The light and shade of light adjusts the brightness of display panel 8061, and proximity sensor can close when mobile terminal 800 is moved in one's ear
Display panel 8061 and/or backlight.As a kind of motion sensor, accelerometer sensor can detect in all directions (general
For three axis) size of acceleration, it can detect that size and the direction of gravity when static, can be used to identify mobile terminal posture (ratio
Such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap);It passes
Sensor 805 can also include fingerprint sensor, pressure sensor, iris sensor, molecule sensor, gyroscope, barometer, wet
Meter, thermometer, infrared sensor etc. are spent, details are not described herein.
Display unit 806 is for showing information input by user or being supplied to the information of user.Display unit 806 can wrap
Display panel 8061 is included, liquid crystal display (Liquid Crystal Display, LCD), Organic Light Emitting Diode can be used
Forms such as (Organic Light-Emitting Diode, OLED) configure display panel 8061.
User input unit 807 can be used for receiving the number or character information of input, and generate and mobile terminal 800
User setting and the related key signals input of function control.Specifically, user input unit 807 include touch panel 8071 with
And other input equipments 8072.Touch panel 8071, also referred to as touch screen collect the touch operation of user on it or nearby
(for example user uses any suitable objects or attachment such as finger, stylus on touch panel 8071 or in touch panel 8071
Neighbouring operation).Touch panel 8071 may include both touch detecting apparatus and touch controller.Wherein, touch detection
Device detects the touch orientation of user, and detects touch operation bring signal, transmits a signal to touch controller;Touch control
Device processed receives touch information from touch detecting apparatus, and is converted into contact coordinate, then gives processor 810, receiving area
It manages the order that device 810 is sent and is executed.Furthermore, it is possible to more using resistance-type, condenser type, infrared ray and surface acoustic wave etc.
Seed type realizes touch panel 8071.In addition to touch panel 8071, user input unit 807 can also include other input equipments
8072.Specifically, other input equipments 8072 can include but is not limited to physical keyboard, function key (such as volume control button,
Switch key etc.), trace ball, mouse, operating stick, details are not described herein.
Further, touch panel 8071 can be covered on display panel 8061, when touch panel 8071 is detected at it
On or near touch operation after, send processor 810 to determine the type of touch event, be followed by subsequent processing device 810 according to touching
The type for touching event provides corresponding visual output on display panel 8061.Although in fig. 8, touch panel 8071 and display
Panel 8061 is the function that outputs and inputs of realizing mobile terminal 800 as two independent components, but in certain implementations
In example, touch panel 8071 and display panel 8061 can be integrated and be realized the function that outputs and inputs of mobile terminal 800, tool
Body is herein without limitation.
Interface unit 808 is the interface that external device (ED) is connect with mobile terminal 800.For example, external device (ED) may include having
Line or wireless head-band earphone port, external power supply (or battery charger) port, wired or wireless data port, storage card end
Mouth, port, the port audio input/output (I/O), video i/o port, earphone end for connecting the device with identification module
Mouthful etc..Interface unit 808 can be used for receiving the input (for example, data information, electric power etc.) from external device (ED) and
By one or more elements that the input received is transferred in mobile terminal 800 or can be used in 800 He of mobile terminal
Data are transmitted between external device (ED).
Memory 809 can be used for storing software program and various data.Memory 809 can mainly include storing program area
The storage data area and, wherein storing program area can (such as the sound of application program needed for storage program area, at least one function
Sound playing function, image player function etc.) etc.;Storage data area can store according to mobile phone use created data (such as
Audio data, phone directory etc.) etc..In addition, memory 809 may include high-speed random access memory, it can also include non-easy
The property lost memory, a for example, at least disk memory, flush memory device or other volatile solid-state parts.
Processor 810 is the control centre of mobile terminal 800, utilizes various interfaces and the entire mobile terminal of connection
800 various pieces, by running or executing the software program and/or module that are stored in memory 809, and calling storage
Data in memory 809 execute the various functions and processing data of mobile terminal 800, to carry out to mobile terminal 800
Integral monitoring.Processor 810 may include one or more processing units;Preferably, processor 810 can integrate application processor and
Modem processor, wherein the main processing operation system of application processor, user interface and application program etc., modulation /demodulation
Processor mainly handles wireless communication.It is understood that above-mentioned modem processor can not also be integrated into processor 810
In.
Mobile terminal 800 can also include the power supply 811 (such as battery) powered to all parts, it is preferred that power supply 811
Can be logically contiguous by power-supply management system and processor 810, to realize management charging by power-supply management system, put
The functions such as electricity and power managed.
In addition, mobile terminal 800 includes some unshowned functional modules, details are not described herein.
Optionally, the embodiment of the present invention also provides a kind of mobile terminal, including processor, and memory is stored in memory
Computer program that is upper and can running on the processor, the computer program realize above-mentioned picture number when being executed by processor
According to each process of processing method embodiment, and identical technical effect can be reached, to avoid repeating, which is not described herein again.
The embodiment of the present invention also provides a kind of computer readable storage medium, and meter is stored on computer readable storage medium
Calculation machine program, the computer program realize each process of above-mentioned image processing method embodiment when being executed by processor,
And identical technical effect can be reached, to avoid repeating, which is not described herein again.Wherein, the computer readable storage medium,
Such as read-only memory (Read-Only Memory, abbreviation ROM), random access memory (Random Access Memory, letter
Claim RAM), magnetic or disk etc..
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the device that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or device institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or device.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage medium
In (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal (can be mobile phone, computer, service
Device, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be subject to the protection scope in claims.
Claims (12)
1. a kind of image processing method is applied to mobile terminal, which is characterized in that the mobile terminal includes that RGB is red
Outer RGB-IR image processing apparatus;The described method includes:
Obtain ambient light intensity;
When the ambient light intensity is lower than default luminous intensity, start infrared light supply;
Obtain the face IR image of the RGB-IR image processing apparatus acquisition;
The face IR image is compared with the facial image prestored, when the face IR image and the facial image prestored
When matching, then recognition of face success;When the face IR image and the non-matching facial image prestored, then recognition of face is lost
It loses.
2. image processing method according to claim 1, which is characterized in that described to obtain at the RGB-IR image
The step of managing the face IR image of device acquisition, comprising:
When the arrangement mode for determining pixel array is first order mode, the RGB- is obtained using the first data processing method
The IR component pixel of IR image processing apparatus acquisition, and synthesize face IR image;
When the arrangement mode for determining pixel array is second order mode, the RGB- is obtained using the second data processing method
The IR component pixel of IR image processing apparatus acquisition, and synthesize face IR image;
Wherein, the first order mode are as follows: odd-line pixels include R component pixel and G component pixel, and even rows include
IR component pixel and B component pixel;
The second order mode are as follows: odd-line pixels include R component pixel, G component pixel and IR component pixel, even number line picture
Element includes IR component pixel, B component pixel and R component pixel.
3. image processing method according to claim 2, which is characterized in that described when the arrangement for determining pixel array
When mode is first order mode, IR points of the RGB-IR image processing apparatus acquisition are obtained using the first data processing method
Measure pixel, and the step of synthesizing face IR image, comprising:
When the arrangement mode for determining the pixel array is first order mode, even rows data are successively read, and obtain
Take the IR component pixel in the even rows data;
The IR component pixel synthesis face IR image that will acquire.
4. image processing method according to claim 2, which is characterized in that described when the arrangement for determining pixel array
When mode is second order mode, IR points of the RGB-IR image processing apparatus acquisition are obtained using the second data processing method
Measure pixel, and the step of synthesizing face IR image, comprising:
When determine the pixel array arrangement mode be second order mode when, be successively read an odd-line pixels data and with
The adjacent even rows data of the odd-line pixels, and obtain the odd-line pixels data and the even rows
IR component pixel in data;
The IR component pixel synthesis face IR image that will acquire.
5. image processing method according to any one of claim 2 to 4, which is characterized in that the method is also wrapped
It includes:
The two adjacent row pixel datas being successively read in the pixel array, and obtain R component pixel therein, G component picture
Element and B component pixel;
The R component pixel, G component pixel and the B component pixel synthesis RGB image that will acquire.
6. a kind of mobile terminal, which is characterized in that the mobile terminal includes RGB-IR image processing apparatus;The mobile terminal
Further include:
First obtains module, for obtaining ambient light intensity;
Starting module, for starting infrared light supply when the ambient light intensity is lower than default luminous intensity;
Second obtains module, for obtaining the face IR image of the RGB-IR image processing apparatus acquisition;
Comparison module, for the face IR image to be compared with the facial image prestored, when the face IR image with
When the facial image matching prestored, then recognition of face success;When the face IR image and the non-matching facial image prestored,
Then recognition of face fails.
7. mobile terminal according to claim 6, which is characterized in that the second acquisition module is also used to:
When the arrangement mode for determining pixel array is first order mode, the RGB- is obtained using the first data processing method
The IR component pixel of IR image processing apparatus acquisition, and synthesize face IR image;
When the arrangement mode for determining pixel array is second order mode, the RGB- is obtained using the second data processing method
The IR component pixel of IR image processing apparatus acquisition, and synthesize face IR image;
Wherein, the first order mode are as follows: odd-line pixels include R component pixel and G component pixel, and even rows include
IR component pixel and B component pixel;
The second order mode are as follows: odd-line pixels include R component pixel, G component pixel and IR component pixel, even number line picture
Element includes IR component pixel, B component pixel and R component pixel.
8. mobile terminal according to claim 7, which is characterized in that described second, which obtains module, includes:
First acquisition submodule, for being successively read when the arrangement mode for determining the pixel array is first order mode
Even rows data, and obtain the IR component pixel in the even rows data;
First synthesis submodule, the IR component pixel for will acquire synthesize face IR image.
9. mobile terminal according to claim 7, which is characterized in that described second, which obtains module, includes:
Second acquisition submodule, for being successively read when the arrangement mode for determining the pixel array is second order mode
One odd-line pixels data and an even rows data adjacent with the odd-line pixels, and obtain the odd-line pixels
IR component pixel in data and the even rows data;
Second synthesis submodule, the IR component pixel for will acquire synthesize face IR image.
10. mobile terminal according to any one of claims 7 to 9, which is characterized in that the mobile terminal further include:
Read module, the two adjacent row pixel datas for being successively read in the pixel array, and obtain R component therein
Pixel, G component pixel and B component pixel;
Synthesis module, the R component pixel, G component pixel and B component pixel for will acquire synthesize RGB image.
11. a kind of mobile terminal, which is characterized in that including processor, memory and be stored on the memory and can be in institute
The computer program run on processor is stated, such as claim 1 to 5 is realized when the computer program is executed by the processor
Any one of described in image processing method the step of.
12. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of image processing method as described in any one of claims 1 to 5 is realized when being executed by processor.
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PCT/CN2019/094696 WO2020015538A1 (en) | 2018-07-16 | 2019-07-04 | Image data processing method and mobile terminal |
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020015538A1 (en) * | 2018-07-16 | 2020-01-23 | 维沃移动通信有限公司 | Image data processing method and mobile terminal |
CN110889102A (en) * | 2019-11-27 | 2020-03-17 | Tcl移动通信科技(宁波)有限公司 | Image unlocking method and device, computer readable storage medium and terminal |
CN111246186A (en) * | 2020-01-21 | 2020-06-05 | 重庆金康新能源汽车有限公司 | Vehicle-mounted camera system and method |
CN112001724A (en) * | 2019-05-27 | 2020-11-27 | 阿里巴巴集团控股有限公司 | Data processing method, device, equipment and storage medium |
CN112001208A (en) * | 2019-05-27 | 2020-11-27 | 虹软科技股份有限公司 | Target detection method and device for vehicle blind area and electronic equipment |
CN112584109A (en) * | 2019-09-30 | 2021-03-30 | 长城汽车股份有限公司 | Vehicle image pickup device and vehicle image processing method |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113673284B (en) * | 2020-05-15 | 2023-08-08 | 深圳市光鉴科技有限公司 | Depth camera snapshot method, system, equipment and medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104463112A (en) * | 2014-11-27 | 2015-03-25 | 深圳市科葩信息技术有限公司 | Method and system for carrying out biological recognition through RGB+IR image sensor |
US20150256813A1 (en) * | 2014-03-07 | 2015-09-10 | Aquifi, Inc. | System and method for 3d reconstruction using multiple multi-channel cameras |
CN106218584A (en) * | 2016-08-16 | 2016-12-14 | 张家港长安大学汽车工程研究院 | A kind of based on the infrared and VATS Vehicle Anti-Theft System of face recognition technology |
CN107506752A (en) * | 2017-09-18 | 2017-12-22 | 艾普柯微电子(上海)有限公司 | Face identification device and method |
CN107534742A (en) * | 2015-07-09 | 2018-01-02 | 华为技术有限公司 | Imaging method, imaging sensor and imaging device |
CN207491128U (en) * | 2017-11-30 | 2018-06-12 | 北京中科虹霸科技有限公司 | A kind of RGB+IR image capture devices |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106372486A (en) * | 2016-09-29 | 2017-02-01 | 郑州云海信息技术有限公司 | Mouse, face recognition system and method |
CN107205139A (en) * | 2017-06-28 | 2017-09-26 | 重庆中科云丛科技有限公司 | The imaging sensor and acquisition method of multichannel collecting |
CN107967418B (en) * | 2017-11-28 | 2022-05-20 | 维沃移动通信有限公司 | Face recognition method and mobile terminal |
CN108282644B (en) * | 2018-02-14 | 2020-01-10 | 北京飞识科技有限公司 | Single-camera imaging method and device |
CN108960179A (en) * | 2018-07-16 | 2018-12-07 | 维沃移动通信有限公司 | A kind of image processing method and mobile terminal |
-
2018
- 2018-07-16 CN CN201810775766.5A patent/CN108960179A/en active Pending
-
2019
- 2019-07-04 WO PCT/CN2019/094696 patent/WO2020015538A1/en active Application Filing
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150256813A1 (en) * | 2014-03-07 | 2015-09-10 | Aquifi, Inc. | System and method for 3d reconstruction using multiple multi-channel cameras |
CN104463112A (en) * | 2014-11-27 | 2015-03-25 | 深圳市科葩信息技术有限公司 | Method and system for carrying out biological recognition through RGB+IR image sensor |
CN107534742A (en) * | 2015-07-09 | 2018-01-02 | 华为技术有限公司 | Imaging method, imaging sensor and imaging device |
CN106218584A (en) * | 2016-08-16 | 2016-12-14 | 张家港长安大学汽车工程研究院 | A kind of based on the infrared and VATS Vehicle Anti-Theft System of face recognition technology |
CN107506752A (en) * | 2017-09-18 | 2017-12-22 | 艾普柯微电子(上海)有限公司 | Face identification device and method |
CN207491128U (en) * | 2017-11-30 | 2018-06-12 | 北京中科虹霸科技有限公司 | A kind of RGB+IR image capture devices |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020015538A1 (en) * | 2018-07-16 | 2020-01-23 | 维沃移动通信有限公司 | Image data processing method and mobile terminal |
CN112001724A (en) * | 2019-05-27 | 2020-11-27 | 阿里巴巴集团控股有限公司 | Data processing method, device, equipment and storage medium |
CN112001208A (en) * | 2019-05-27 | 2020-11-27 | 虹软科技股份有限公司 | Target detection method and device for vehicle blind area and electronic equipment |
CN112584109A (en) * | 2019-09-30 | 2021-03-30 | 长城汽车股份有限公司 | Vehicle image pickup device and vehicle image processing method |
CN110889102A (en) * | 2019-11-27 | 2020-03-17 | Tcl移动通信科技(宁波)有限公司 | Image unlocking method and device, computer readable storage medium and terminal |
CN110889102B (en) * | 2019-11-27 | 2023-06-20 | Tcl移动通信科技(宁波)有限公司 | Image unlocking method and device, computer readable storage medium and terminal |
CN111246186A (en) * | 2020-01-21 | 2020-06-05 | 重庆金康新能源汽车有限公司 | Vehicle-mounted camera system and method |
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---|---|
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