CN108229389A - Facial image processing method, apparatus and computer readable storage medium - Google Patents
Facial image processing method, apparatus and computer readable storage medium Download PDFInfo
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- CN108229389A CN108229389A CN201711497876.1A CN201711497876A CN108229389A CN 108229389 A CN108229389 A CN 108229389A CN 201711497876 A CN201711497876 A CN 201711497876A CN 108229389 A CN108229389 A CN 108229389A
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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
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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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
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
Abstract
The invention discloses a kind of facial image processing method, including：When getting shooting image, the first figure information in the shooting image is detected；When receiving area image process instruction, determine in first figure information with matched second figure information of default figure information；Image procossing is carried out to second figure information, obtains processing image.The invention also discloses a kind of facial image processing device and computer readable storage mediums.The present invention realizes the image procossing pair with matched second figure information of default figure information, so that when carrying out image procossing to the picture for including multiple portraits, it being capable of automatic identification and the matched figure information of default figure information, and automatic or manual processing is carried out according to demand so that image processing effect more meets the actual demand of user.
Description
Technical field
The present invention relates to image processing field more particularly to a kind of facial image processing method, apparatus and computer-readable storages
Medium.
Background technology
With the development of photography and vedio recording technology, people can whenever and wherever possible shoot things, and when shooting completion,
It is even more to be widely applied in each terminal with filming apparatus to carry out image procossing to captured obtained picture.Mesh
Before, when user carries out image procossing to the picture of shooting, often to one, whole pictures are indistinguishably handled, that is, are being adjusted
Often the processing parameter of a whole pictures can all change when saving picture；Especially taking the picture that includes multiple portraits
When, it is even more impossible to carry out specific image procossing just for one or more of portraits.
The above is only used to facilitate the understanding of the technical scheme, and is not represented and is recognized that the above is existing skill
Art.
Invention content
It is a primary object of the present invention to provide a kind of facial image processing method, apparatus and computer readable storage medium, purport
Solve at present can not to the picture with multiple portraits carry out differentially image procossing the technical issues of.
To achieve the above object, the present invention provides a kind of facial image processing method, and the facial image processing method includes following step
Suddenly：
When getting shooting image, the first figure information in the shooting image is detected；
When receiving area image process instruction, determine to match with default figure information in first figure information
The second figure information；
Image procossing is carried out to second figure information, obtains processing image.
In one embodiment, it is described determine in first figure information with matched second people of default figure information
As the step of information includes：
Obtain the portrait matching degree of first figure information and default figure information；
When the portrait matching degree is spent more than preset matching, determine in first figure information exist with it is described pre-
If matched second figure information of figure information.
In one embodiment, described the step of carrying out image procossing to second figure information, includes：
Identify the corresponding human body information of second figure information；
Image procossing is carried out to the human body information.
In one embodiment, the step of identification second figure information corresponding human body information includes：
Obtain the corresponding characteristics of human body of second figure information；
The corresponding human body information of second figure information is identified based on the characteristics of human body.
In one embodiment, described the step of carrying out image procossing to the human body information, includes：
Detect skin area and non-skin region in the human body information；
Image procossing is carried out to the skin area, image protection is carried out to the non-skin region.
In one embodiment, described the step of carrying out image procossing to the skin area, further includes：
Image Fuzzy Processing is carried out to the skin area, obtains blurred picture；
According to the blurred picture and the shooting image generation processing image.
In one embodiment, it is described detection it is described shooting image in the first figure information the step of include：
Detect the portrait characteristic information in the shooting image；
Based on the portrait characteristic information, the first figure information in the shooting image is detected.
In one embodiment, described the step of image procossing is carried out to second figure information, obtains handling image
Later, the facial image processing method further includes：
When receiving adjust instruction, adjusting parameter is obtained, the processing image is adjusted based on the adjusting parameter
It is whole.
In addition, to achieve the above object, the present invention also provides a kind of facial image processing device, the facial image processing device packet
It includes：Memory, processor and the facial image processing program that can be run on the memory and on the processor is stored in, it is described
Facial image processing program realizes the step of facial image processing method described in any one of the above embodiments when being performed by the processor.
In addition, to achieve the above object, it is described computer-readable the present invention also provides a kind of computer readable storage medium
Facial image processing program is stored on storage medium, is realized described in any of the above-described when the facial image processing program is executed by processor
Facial image processing method the step of.
The present invention proposes a kind of facial image processing method, by when getting shooting image, detecting in the shooting image
The first figure information, then when receiving area image process instruction, determine in first figure information with it is default
Matched second figure information of figure information then carries out image procossing to second figure information, obtains processing image, real
Showed the image procossing pair with matched second figure information of default figure information so as to include the pictures of multiple portraits into
During row image procossing, can automatic identification and the matched figure information of default figure information, and carry out automatic or hand according to demand
Dynamic processing so that image processing effect more meets the actual demand of user.
Description of the drawings
A kind of hardware architecture diagram of Fig. 1 mobile terminals of each embodiment to realize the present invention；
Fig. 2 is a kind of communications network system Organization Chart provided in an embodiment of the present invention；
Fig. 3 is the present inventor as the flow diagram of processing method first embodiment；
Fig. 4 is the present inventor as the flow diagram of processing method second embodiment；
Fig. 5 is the present inventor as the flow diagram of processing method 3rd embodiment；
Fig. 6 is the present inventor as the flow diagram of processing method fourth embodiment；
Fig. 7 is the present inventor as the flow diagram of the 5th embodiment of processing method；
Fig. 8 is the present inventor as the flow diagram of processing method sixth embodiment；
Fig. 9 is the present inventor as the flow diagram of the 7th embodiment of processing method；
Figure 10 is the present inventor as the flow diagram of the 8th embodiment of processing method.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
In subsequent description, using for representing that the suffix of such as " module ", " component " or " unit " of element is only
Be conducive to the explanation of the present invention, itself there is no a specific meaning.Therefore, " module ", " component " or " unit " can mix
Ground uses.
Terminal can be implemented in a variety of manners.For example, terminal described in the present invention can include such as mobile phone, tablet
Computer, laptop, palm PC, personal digital assistant (Personal Digital Assistant, PDA), portable
The shiftings such as media player (Portable Media Player, PMP), navigation device, wearable device, Intelligent bracelet, pedometer
The dynamic fixed terminals such as terminal and number TV, desktop computer.
It will be illustrated by taking mobile terminal as an example in subsequent descriptions, it will be appreciated by those skilled in the art that in addition to special
For moving except the element of purpose, construction according to the embodiment of the present invention can also apply to the terminal of fixed type.
Referring to Fig. 1, a kind of hardware architecture diagram of its mobile terminal of each embodiment to realize the present invention, the shifting
Dynamic terminal 100 can include：RF (Radio Frequency, radio frequency) unit 101, WiFi module 102, audio output unit
103rd, A/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit
108th, the components such as memory 109, processor 110 and power supply 111.It will be understood by those skilled in the art that shown in Fig. 1
Mobile terminal structure does not form the restriction to mobile terminal, and mobile terminal can be included than illustrating more or fewer components,
Either combine certain components or different components arrangement.
The all parts of mobile terminal are specifically introduced with reference to Fig. 1：
Radio frequency unit 101 can be used for receive and send messages or communication process in, signal sends and receivees, specifically, by base station
Downlink information receive after, handled to processor 110；In addition, the data of uplink are sent to base station.In general, radio frequency unit 101
Including but not limited to antenna, at least one amplifier, transceiver, coupler, low-noise amplifier, duplexer etc..In addition, it penetrates
Frequency unit 101 can also communicate with network and other equipment by radio communication.Above-mentioned wireless communication can use any communication
Standard or agreement, including but not limited to GSM (Global System of Mobile communication, global system for mobile telecommunications
System), GPRS (General Packet Radio Service, general packet radio service), CDMA2000 (Code
Division Multiple Access2000, CDMA 2000), WCDMA (Wideband Code Division
Multiple Access, wideband code division multiple access), TD-SCDMA (Time Division-Synchronous Code
Division Multiple Access, TD SDMA), FDD-LTE (Frequency Division
Duplexing-Long Term Evolution, frequency division duplex long term evolution) and TDD-LTE (Time Division
Duplexing-Long Term Evolution, time division duplex long term evolution) etc..
WiFi belongs to short range wireless transmission technology, and mobile terminal can help user to receive and dispatch electricity by WiFi module 102
Sub- mail, browsing webpage and access streaming video etc., it has provided wireless broadband internet to the user and has accessed.Although Fig. 1 shows
Go out WiFi module 102, but it is understood that, and must be configured into for mobile terminal is not belonging to, it completely can be according to need
It to be omitted in the range for the essence for not changing invention.
Audio output unit 103 can be in call signal reception pattern, call mode, record mould in mobile terminal 100
Formula, speech recognition mode, broadcast reception mode when under isotypes, it is that radio frequency unit 101 or WiFi module 102 are received or
The audio data stored in memory 109 is converted into audio signal and exports as sound.Moreover, audio output unit 103
The relevant audio output of specific function performed with mobile terminal 100 can also be provided (for example, call signal receives sound, disappears
Breath receives sound etc.).Audio output unit 103 can include loud speaker, buzzer etc..
A/V input units 104 are used to receive audio or video signal.A/V input units 104 can include graphics processor
(Graphics Processing Unit, GPU) 1041 and microphone 1042, graphics processor 1041 is in video acquisition mode
Or the static images or the image data of video obtained in image capture mode by image capture apparatus (such as camera) carry out
Reason.Treated, and picture frame may be displayed on display unit 106.Through graphics processor 1041, treated that picture frame can be deposited
Storage is sent in memory 109 (or other storage mediums) or via radio frequency unit 101 or WiFi module 102.Mike
Wind 1042 can connect in telephone calling model, logging mode, speech recognition mode etc. operational mode via microphone 1042
Quiet down sound (audio data), and can be audio data by such acoustic processing.Audio that treated (voice) data can
To be converted to the form output that mobile communication base station can be sent to via radio frequency unit 101 in the case of telephone calling model.
Microphone 1042 can implement various types of noises elimination (or inhibition) algorithms and send and receive sound to eliminate (or inhibition)
The noise generated during frequency signal or interference.
Mobile terminal 100 further includes at least one sensor 105, 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 1061, and proximity sensor can close when mobile terminal 100 is moved in one's ear
Display panel 1061 and/or backlight.As one kind of motion sensor, accelerometer sensor can detect in all directions (general
For three axis) size of acceleration, size and the direction of gravity are can detect that when static, can be used to identify the application of mobile phone posture
(such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, percussion) etc.；
The fingerprint sensor that can also configure as mobile phone, pressure sensor, iris sensor, molecule sensor, gyroscope, barometer,
The other sensors such as hygrometer, thermometer, infrared ray sensor, details are not described herein.
Display unit 106 is used to show by information input by user or be supplied to the information of user.Display unit 106 can wrap
Display panel 1061 is included, liquid crystal display (Liquid Crystal Display, LCD), Organic Light Emitting Diode may be used
Display panel 1061 is configured in forms such as (Organic Light-Emitting Diode, OLED).
User input unit 107 can be used for receiving the number inputted or character information and generation and the use of mobile terminal
The key signals input that family is set and function control is related.Specifically, user input unit 107 may include touch panel 1071 with
And other input equipments 1072.Touch panel 1071, also referred to as touch screen collect user on it or neighbouring touch operation
(for example user uses any suitable objects such as finger, stylus or attachment on touch panel 1071 or in touch panel 1071
Neighbouring operation), and corresponding attachment device is driven according to preset formula.Touch panel 1071 may include touch detection
Two parts of device and touch controller.Wherein, the touch orientation of touch detecting apparatus detection user, and detect touch operation band
The signal come, transmits a signal to touch controller；Touch controller receives touch information from touch detecting apparatus, and by it
Contact coordinate is converted into, then gives processor 110, and the order that processor 110 is sent can be received and performed.It in addition, can
To realize touch panel 1071 using multiple types such as resistance-type, condenser type, infrared ray and surface acoustic waves.In addition to touch panel
1071, user input unit 107 can also include other input equipments 1072.Specifically, other input equipments 1072 can wrap
It includes but is not limited to physical keyboard, in function key (such as volume control button, switch key etc.), trace ball, mouse, operating lever etc.
It is one or more, do not limit herein specifically.
Further, touch panel 1071 can cover display panel 1061, when touch panel 1071 detect on it or
After neighbouring touch operation, processor 110 is sent to determine the type of touch event, is followed by subsequent processing device 110 according to touch thing
The type of part provides corresponding visual output on display panel 1061.Although in Fig. 1, touch panel 1071 and display panel
1061 be the component independent as two to realize the function that outputs and inputs of mobile terminal, but in certain embodiments, it can
The function that outputs and inputs of mobile terminal is realized so that touch panel 1071 and display panel 1061 is integrated, is not done herein specifically
It limits.
Interface unit 108 be used as at least one external device (ED) connect with mobile terminal 100 can by interface.For example,
External device (ED) can include wired or wireless head-band earphone port, external power supply (or battery charger) port, wired or nothing
Line data port, memory card port, the port for device of the connection with identification module, audio input/output (I/O) end
Mouth, video i/o port, ear port etc..Interface unit 108 can be used for receiving the input from external device (ED) (for example, number
It is believed that breath, electric power etc.) and the input received is transferred to one or more elements in mobile terminal 100 or can be with
For transmitting data between mobile terminal 100 and external device (ED).
Memory 109 can be used for storage software program and various data.Memory 109 can mainly include storing program area
And storage data field, wherein, storing program area can storage program area, application program (such as the sound needed at least one function
Sound playing function, image player function etc.) etc.；Storage data field can store according to mobile phone use created data (such as
Audio data, phone directory etc.) etc..In addition, memory 109 can include high-speed random access memory, 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 110 is the control centre of mobile terminal, utilizes each of various interfaces and the entire mobile terminal of connection
A part is stored in storage by running or performing the software program being stored in memory 109 and/or module and call
Data in device 109 perform the various functions of mobile terminal and processing data, so as to carry out integral monitoring to mobile terminal.Place
Reason device 110 may include one or more processing units；Preferably, processor 110 can integrate application processor and modulatedemodulate is mediated
Device is managed, wherein, the main processing operation system of application processor, user interface and application program etc., modem processor is main
Processing wireless communication.It is understood that above-mentioned modem processor can not also be integrated into processor 110.
Mobile terminal 100 can also include the power supply 111 (such as battery) powered to all parts, it is preferred that power supply 111
Can be logically contiguous by power-supply management system and processor 110, so as to realize management charging by power-supply management system, put
The functions such as electricity and power managed.
Although Fig. 1 is not shown, mobile terminal 100 can also be including bluetooth module etc., and details are not described herein.
For the ease of understanding the embodiment of the present invention, below to the communications network system that is based on of mobile terminal of the present invention into
Row description.
Referring to Fig. 2, Fig. 2 is a kind of communications network system Organization Chart provided in an embodiment of the present invention, the communication network system
The LTE system united as universal mobile communications technology, the LTE system include the UE (User Equipment, the use that communicate connection successively
Family equipment) 201, E-UTRAN (Evolved UMTS Terrestrial RadioAccess Network, evolved UMTS lands
Ground wireless access network) 202, EPC (EvolvedPacket Core, evolved packet-based core networks) 203 and operator IP operation
204。
Specifically, UE201 can be above-mentioned terminal 100, and details are not described herein again.
E-UTRAN202 includes eNodeB2021 and other eNodeB2022 etc..Wherein, eNodeB2021 can be by returning
Journey (backhaul) (such as X2 interface) is connect with other eNodeB2022, and eNodeB2021 is connected to EPC203,
ENodeB2021 can provide the access of UE201 to EPC203.
EPC203 can include MME (Mobility Management Entity, mobility management entity) 2031, HSS
(Home Subscriber Server, home subscriber server) 2032, other MME2033, SGW (Serving GateWay,
Gateway) 2034, PGW (PDN GateWay, grouped data network gateway) 2035 and PCRF (Policy and Charging
Rules Function, policy and rate functional entity) 2036 etc..Wherein, MME2031 be processing UE201 and EPC203 between
The control node of signaling, provides carrying and connection management.HSS2032 is used to provide some registers to manage such as homing position
The function of register (not shown) etc, and some are preserved in relation to the dedicated letter of the users such as service features, data rate
Breath.All customer data can be sent by SGW2034, PGW2035 can provide UE 201 IP address distribute with
And other functions, PCRF2036 are business data flow and the strategy of IP bearing resources and charging control policy decision point, it is plan
Available strategy and charging control decision are slightly selected and provided with charge execution function unit (not shown).
IP operation 204 can include internet, Intranet, IMS (IP Multimedia Subsystem, IP multimedia
System) or other IP operations etc..
Although above-mentioned be described by taking LTE system as an example, those skilled in the art it is to be understood that the present invention not only
Suitable for LTE system, be readily applicable to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA with
And following new network system etc., it does not limit herein.
Based on above-mentioned mobile terminal hardware configuration and communications network system, each embodiment of the present invention is proposed.
The present invention further provides a kind of facial image processing methods, and with reference to Fig. 3, Fig. 3 is the present inventor as processing method first
The flow diagram of embodiment.
In the present embodiment, which includes：
Step S1000 when getting shooting image, detects the first figure information in the shooting image；
It is to shoot by shooting obtained image when user carries out target shooting by the terminal with filming apparatus
Image.It may include multiple figure informations in the shooting image, a figure information may be also only included, alternatively, at this
It shoots and does not include any figure information in image；Therefore, it when getting the shooting image, needs in the shooting image
Figure information is detected.There are during figure information in the shooting image, all figure informations in the shooting image are
First figure information.
In the present embodiment, when getting the shooting image, then the portrait characteristic information in the shooting image, root are detected
According to the portrait characteristic information, the first figure information in the shooting image is detected.It specifically, can be right by Principal Component Analysis
The first figure information in the shooting image is detected identification；The Principal Component Analysis specifically by determining iris, the wing of nose,
The attributes such as size, position, the distance of the image surfaces face profile such as corners of the mouth, calculate their geometric feature, by the geometric properties
Vector is combined into the eigenface of identification face.Principal component subspace is constructed according to lineup's face training image, since pivot has face
Shape, also referred to as eigenface, when identification projects to test image on principal component subspace, obtains one group of projection coefficient；The throwing
Shadow coefficient and the shooting image are compared identification, if face characteristic information can be recognized in the shooting image, it is determined that should
There are figure informations in shooting image；If face characteristic information cannot be recognized in the shooting image, it is determined that the shooting figure
There is no figure information as in, wherein, which is the first figure information in the shooting image.
In one shoots image, therefore the possible more than one of obtained first figure information, the bat is obtained in detection
When taking the photograph the first figure information in image, each first figure information into row label is marked and is stored.For example, getting one
When shooting image, the first figure information in the shooting image is detected, as can recognizing face characteristic letter in the shooting image
Breath, it is determined that there are figure informations in the shooting image；Obtain each figure information recognized in the shooting image, the portrait
Information is first figure information, and each first figure information got is marked, such as A, B, C symbol mark into row label
Note, storage is associated by corresponding each first figure information of the label information of label.
Step S2000, when receiving area image process instruction, determine in first figure information with default people
As the second figure information of information matches；
Display interface of the user based on the terminal with filming apparatus can carry out image procossing to the shooting image,
When receiving the area image process instruction, it is determined that whether there is in first figure information and matched with default figure information
Figure information, which is second figure information；Exist in first figure information and preset portrait letter with this
When ceasing matched second figure information, then second figure information is handled, wherein, which is pair
The shooting image carries out the control instruction of Local treatment.
Specifically, there are first figure information during the first figure information, is extracted in the shooting image is determined, judging should
Whether the first figure information with default figure information reaches certain matching degree.Wherein, which can be by a
The number that people sets or is detected reaches the figure information of preset times threshold value.Believe when shooting first portrait in image
When the portrait matching degree of breath and the default figure information is spent more than preset matching, it is determined that exist and this in first figure information
Matched second figure information of default figure information；When shooting first figure information in image figure information is preset with this
When portrait matching degree is spent less than the preset matching, it is determined that there is no preset figure information with this to match in first figure information
The second figure information.Second figure information is to preset the matched figure information of figure information with this.
For example, a certain user obtains a shooting picture by the terminal taking with filming apparatus, determining in the bat
It takes the photograph there are the first figure information in image, to first figure information and the progress matching degree detection of default figure information.If this
One figure information is corresponding with the first figure information of multiple and different label informations, then a pair of each label information is corresponding respectively
First figure information carries out matching degree detection with the default figure information, to obtain the default portrait letter of first figure information and this
The portrait matching degree of breath；If detecting the obtained portrait matching degree is more than preset matching degree, it is determined that in first figure information
Matched second figure information of figure information is preset in the presence of with this.
Before step S2000, user can be in advance used in the terminal of filming apparatus, and typing is wanted individually
The automatic figure information for carrying out image procossing, i.e., default figure information.If user not want on the terminal in advance by typing
The individually automatic figure information for carrying out image procossing, then time that the terminal can accordingly occur by detecting a certain figure information
Number；When the terminal detects that the number that the figure information occurs is more than preset frequency threshold value (i.e. preset times threshold value)
When, which can be updated to default figure information.Specifically, as user is carried out with a certain figure information for the first time
Equipment is unlocked or is paid when operations, and the terminal used by a user with filming apparatus just records the figure information；
User unlocks or pays the access times that the figure information is then updated when operations using the figure information for the second time, then goes out
The number that the figure information is detected now is updated during the figure information successively.Exist in the number being detected of the figure information
When more than preset times threshold value, it is default figure information to update the figure information.
Step S3000 carries out image procossing to second figure information, obtains processing image.
In the present embodiment, carry out image procossing to second figure information, process object be not only only limited to this
Two figure informations are handled, and are further included the corresponding human body information to second figure information and are carried out image procossing.
Specifically, when getting second figure information, while the corresponding human body information of the second figure information is identified,
The human body information then includes second figure information.When getting second figure information, second figure information is obtained
Corresponding characteristics of human body can recognize the corresponding human body information of the second figure information according to the characteristics of human body.It is getting
During the human body information, image procossing is carried out to the human body information, which can be special effect processing, cutting processing and U.S. face
The image-editing operations such as processing.
Wherein, which includes skin area and non-skin region, which is the human body in image is shot
The exposed part of skin, such as face, hand and neck region；The non-skin region is then the human skin in the shooting image
Non- exposed part, such as the non-exposed region of hair.It, should be to the people during image procossing is carried out to the human body information
Body information carries out region recognition division, and for skin area and non-skin region, the current human body can be believed by thermal image
Skin area and non-skin region in breath are divided.The temperature of each position of human body surface be it is different, it is especially right
Between the exposed region of human body and non-exposed region, the difference of temperature is even more apparent；Therefore, by obtaining the human body information
Corresponding thermal image can judge current location temperature according to the shade of pixel each in the thermal image, from
And further determine that the region belonging to current location is skin area or non-skin region.
When determining skin area and non-skin region, then the non-skin region is protected, such as area locking
The operation protection non-skin region；With this, avoid when carrying out image procossing to skin area, to the non-skin region also simultaneously
Relevant accidentally processing is carried out.When handling the skin area, corresponding image processing commands may be selected in user, the image
Process instruction includes automatically processing and manual handle.Specifically, it is touched based on the affiliated terminal interface of camera arrangement receiving user
When automatically processing instruction of hair carries out image Fuzzy Processing to the skin area according to instruction is automatically processed, obtains blurred picture；
The blurred picture and the shooting image are merged, obtains blending image, processing is sharpened to the blending image, you can handled
Image.When receiving manual handle instruction of the user based on the affiliated terminal interface triggering of camera arrangement, then according to the manual place
Reason instruction obtains corresponding processing parameter, manages parameter according to this and carries out corresponding image processing operations to the human body information.With
Family also can carry out the further tune of effect and degree for the treatment of on the basis of based on the processing image to treated the effect
It is whole.
In addition to this, user can also be based on the affiliated terminal interface of camera arrangement, and the manual of region is carried out to the shooting picture
It chooses；Specifically, in the region determine instruction for receiving user's selection, corresponding firstth area of the region determine instruction is obtained
Domain, and the state of the first area is set as adjustable state；Second area in addition to the first area is then set as not
Adjustable state.Further receiving image processing commands, then according to the image processing commands only to the first area into
The corresponding image processing operations of row.
The facial image processing method that the present embodiment proposes, by when getting shooting image, detecting in the shooting image
The first figure information, then when receiving area image process instruction, determine in first figure information with it is default
Matched second figure information of figure information then carries out image procossing to second figure information, obtains processing image, real
Showed the image procossing pair with matched second figure information of default figure information so as to include the pictures of multiple portraits into
During row image procossing, can automatic identification and the matched figure information of default figure information, and carry out automatic or hand according to demand
Dynamic processing so that image processing effect more meets the actual demand of user.
Based on first embodiment, the present inventor is proposed as the second embodiment of processing method, with reference to Fig. 4, in the present embodiment
In, step S2000 includes：
Step S2100 obtains the portrait matching degree of first figure information and default figure information；
Step S2200 when the portrait matching degree is spent more than preset matching, determines to deposit in first figure information
With default matched second figure information of figure information.
In the present embodiment, the first figure information is all figure informations shot in image, is detecting the shooting
When image includes figure information, detected all figure informations are first figure information.And in first portrait
In information, it is understood that there may be have with the matched figure information of default figure information, also may be not present matched with default figure information
Figure information；Therefore, in the area image process instruction for receiving display interface triggering, then first portrait letter is obtained
The portrait matching degree of breath and the default figure information.
According to the portrait matching degree, judge whether first figure information with default figure information reaches certain matching
Degree, when the portrait matching degree for shooting first figure information in image and the default figure information is spent more than preset matching,
It then determines to exist in first figure information to preset matched second figure information of figure information with this；When shoot in image should
When the portrait matching degree of first figure information and the default figure information is spent less than the preset matching, it is determined that first portrait is believed
It is not present in breath and presets matched second figure information of figure information with this.
The facial image processing method that the present embodiment proposes, by the people for obtaining first figure information and default figure information
As matching degree, then when the portrait matching degree is spent more than preset matching, determine to exist in first figure information with
Matched second figure information of default figure information, realize in the first figure information the second figure information it is automatic really
It is fixed so that when handling shooting image, can automatic identification arrive with the matched figure information of user preset storage, into one
Individually adjusting to determining figure information is realized on step ground, avoids and carries out all integrally carrying out the image during image procossing every time
Uniformly image procossing.
Based on first embodiment, the present inventor is proposed as the 3rd embodiment of processing method, with reference to Fig. 5, in the present embodiment
In, step S3000 includes：
Step S3100 identifies the corresponding human body information of second figure information；
Step S3200 carries out image procossing to the human body information.
In the present embodiment, when determining with matched second figure information of default figure information, at the same identify this second
The corresponding human body information of figure information, the human body information then include second figure information.Getting second portrait letter
During breath, the corresponding characteristics of human body of second figure information is obtained, which can be recognized according to the characteristics of human body
Corresponding human body information.When getting the human body information, image procossing is carried out to the human body information, which can be
Special effect processing cuts the image-editing operations such as processing and U.S. face processing.
Specifically, which includes skin area and non-skin region, which is the people in image is shot
The exposed part of body skin, such as face, hand and neck region；The non-skin region is then the human body skin in the shooting image
The non-exposed part of skin, such as the non-exposed region of hair.It, should be to this during image procossing is carried out to the human body information
Human body information carries out region recognition division, can be to the current human body by thermal image for skin area and non-skin region
Skin area and non-skin region in information are divided.By obtaining the corresponding thermal image of the human body information, according to the heat
The shade of each pixel can judge current location temperature in image, so as to further determine current location
Affiliated region is skin area or non-skin region.
When determining skin area and non-skin region, then the non-skin region is protected, such as area locking
The operation protection non-skin region；With this, avoid when carrying out image procossing to skin area, to the non-skin region also simultaneously
Relevant accidentally processing is carried out.When handling the skin area, corresponding image processing commands may be selected in user, the image
Process instruction includes automatically processing and manual handle.Specifically, it is touched based on the affiliated terminal interface of camera arrangement receiving user
When automatically processing instruction of hair carries out image Fuzzy Processing to the skin area according to instruction is automatically processed, obtains blurred picture；
The blurred picture and the shooting image are merged, obtains blending image, processing is sharpened to the blending image, you can handled
Image.When receiving manual handle instruction of the user based on the affiliated terminal interface triggering of camera arrangement, then according to the manual place
Reason instruction obtains corresponding processing parameter, manages parameter according to this and carries out corresponding image processing operations to the human body information.
The facial image processing method that the present embodiment proposes, by identifying the corresponding human body information of second figure information, connects
It and image procossing is carried out to the human body information, realize the processing to the determining corresponding human body information of the second figure information,
So that in image processing process, the region of human body can be more fully handled, and be not limited solely to face point, bigger
The demand of user is met in degree.
Based on 3rd embodiment, the present inventor is proposed as the fourth embodiment of processing method, with reference to Fig. 6, in the present embodiment
In, step S3100 includes：
Step S3110 obtains the corresponding characteristics of human body of second figure information；
Step S3120 identifies the corresponding human body information of second figure information based on the characteristics of human body.
In the present embodiment, which is the characteristic information for identifying second figure information, according to the characteristics of human body
The corresponding human body contour outline of second figure information can be detected, so as to detect that current second figure information is corresponding
Human body information.Specifically, by extracting HOG (the Histogramof Oriented Gradient direction gradient Nogatas of sample
Figure) feature, this feature is put into SVM (SupportVector Machine) grader and is trained, so as to be corresponded to
Training pattern；Further sample training is carried out to the training pattern, obtains final detection model, get this second
During the corresponding characteristics of human body of figure information, it is corresponding that current second figure information is can detect by built-in detection model
Human body information.
The facial image processing method that the present embodiment proposes, by obtaining the corresponding characteristics of human body of second figure information, connects
It and the corresponding human body information of second figure information is identified based on the characteristics of human body, realize and the second figure information is corresponded to
Human body information identification so that corresponding human body information can accurately be recognized by second figure information, so as into
The image procossing to human body information is realized to one step, expands corresponding process range so as to figure information
Uniformly the corresponding human body parts of the figure information uniformly can be handled during reason.
Based on 3rd embodiment, the present inventor is proposed as the 5th embodiment of processing method, with reference to Fig. 7, in the present embodiment
In, step S3200 includes：
Step S3210 detects skin area and non-skin region in the human body information；
Step S3220, image procossing is carried out to the skin area, and image protection is carried out to the non-skin region.
In the present embodiment, which includes skin area and non-skin region, which is in shooting figure
The exposed part of human skin as in, such as face, hand and neck region；The non-skin region is then in the shooting image
The non-exposed part of human skin, such as the non-exposed region of hair.It, should during image procossing is carried out to the human body information
It, can be to current by thermal image for skin area and non-skin region when carrying out region recognition division to the human body information
Skin area and non-skin region in the human body information are divided.The temperature of each position of human body surface be it is different,
Especially between the exposed region of human body and non-exposed region, the difference of temperature is even more apparent；Therefore, it is somebody's turn to do by obtaining
The corresponding thermal image of human body information can carry out current location temperature according to the shade of pixel each in the thermal image
Judge, so as to further determine that the region belonging to current location is skin area or non-skin region.
When determining skin area and non-skin region, then the non-skin region is protected, such as area locking
The operation protection non-skin region；With this, avoid when carrying out image procossing to skin area, to the non-skin region also simultaneously
Relevant accidentally processing is carried out.When handling the skin area, corresponding image processing commands may be selected in user, the image
Process instruction includes automatically processing and manual handle.Specifically, it is touched based on the affiliated terminal interface of camera arrangement receiving user
When automatically processing instruction of hair carries out image Fuzzy Processing to the skin area according to instruction is automatically processed, obtains blurred picture；
The blurred picture and the shooting image are merged, obtains blending image, processing is sharpened to the blending image, you can handled
Image.When receiving manual handle instruction of the user based on the affiliated terminal interface triggering of camera arrangement, then according to the manual place
Reason instruction obtains corresponding processing parameter, manages parameter according to this and carries out corresponding image processing operations to the human body information.
The facial image processing method that the present embodiment proposes, by detecting skin area and non-skin area in the human body information
Domain then carries out image procossing to the skin area, carries out image protection to the non-skin region, realizes and recognizing
Only skin area is handled during human body information, the protection to non-skin region in human body so that the skin area energy of human body
Enough portraits with processing unify effect, and will not feed through to non-skin region, so that the image that processing obtains is more certainly
So.
Based on the 5th embodiment, the present inventor is proposed as the sixth embodiment of processing method, with reference to Fig. 8, in the present embodiment
In, step S3220 includes：
Step S3221 carries out image Fuzzy Processing to the skin area, obtains blurred picture；
Step S3222, according to the blurred picture and the shooting image generation processing image.
In the present embodiment, when handling the skin area, corresponding image processing commands may be selected in user, the figure
As process instruction includes automatically processing and manual handle.Receive user based on the triggering of camera arrangement affiliated terminal interface from
During dynamic process instruction, image Fuzzy Processing is carried out to the skin area according to instruction is automatically processed, obtains blurred picture；Fusion should
Blurred picture and the shooting image, obtain blending image, processing are sharpened to the blending image, you can obtain processing image.
The facial image processing method that the present embodiment proposes by carrying out image Fuzzy Processing to the skin area, obtains mould
Image is pasted, then according to the blurred picture and the shooting image generation processing image, is realized through the side such as Fuzzy Processing
Formula realizes the automatic U.S. face processing to human body skin area, saves the time of user oneself adjustment parameter so that user can be fast
The effect picture that obtains that treated of speed.
Based on first embodiment, the present inventor is proposed as the 7th embodiment of processing method, with reference to Fig. 9, in the present embodiment
In, step S1000 includes：
Step S1100 detects the portrait characteristic information in the shooting image；
Step S1200 based on the portrait characteristic information, detects the first figure information in the shooting image.
In the present embodiment, when getting the shooting image, then the portrait characteristic information in the shooting image, root are detected
According to the portrait characteristic information, the first figure information in the shooting image is detected.It specifically, can be by Principal Component Analysis, several
The first figure information in shooting image is identified in the modes such as what feature, if face spy can be recognized in the shooting image
Reference ceases, it is determined that there are figure informations in the shooting image；If face characteristic information cannot be recognized in the shooting image,
It then determines there is no figure information in the shooting image, wherein, which is the first portrait letter in the shooting image
Breath.
The facial image processing method that the present embodiment proposes, by detecting the portrait characteristic information in the shooting image, then
Based on the portrait characteristic information, the first figure information in the shooting image is detected, realizes and is getting shooting image
When, the first figure information in shooting image is determined, the picture for not including figure information has tentatively been screened, has saved subsequent figure
As the time of processing, the efficiency of image procossing is improved.
Based on first embodiment, the present inventor is proposed as the 8th embodiment of processing method, with reference to Figure 10, in the present embodiment
In, after step S3000, which further includes：
Step S4000 when receiving adjust instruction, obtains adjusting parameter, based on the adjusting parameter to the processing
Image is adjusted.
In the present embodiment, user, can be to each in processing procedure before not preserved to the image handled well
A parameter is again adjusted, more satisfied so as to achieve the effect that.Specifically, user is being received based on filming apparatus
During the adjust instruction of affiliated terminal interface triggering, then the corresponding adjustment region in the processing image is determined with the adjust instruction.
The adjustment region can be divided into three regions, the skin area in a human body information being to determine, second is that user choose manually it is dynamic
State region, third, the fixed area other than the skin area and the dynamic area.Different adjust instructions corresponds to different
Adjustment region, the adjust instruction being analyzed and acquired by obtain corresponding adjustment region, while obtain the corresponding adjustment of the adjust instruction
Parameter further makes corresponding adjustment region by oneself according to the adjusting parameter operations such as free burial ground for the destitute adjustment and modification.
The facial image processing method that the present embodiment proposes, by when receiving adjust instruction, adjusting parameter being obtained, based on institute
It states adjusting parameter to be adjusted the processing image, realize according to the adjusting parameter that User Defined is set to handling image
Self-defined adjustment so that the picture that final adjustment obtains is more in line with the requirement of user.
In addition, the embodiment of the present invention also proposes a kind of facial image processing device, the facial image processing device includes：Memory,
Processor and the facial image processing program that can be run on the memory and on the processor is stored in, the facial image processing journey
Following operation is realized when sequence is performed by the processor：
When getting shooting image, the first figure information in the shooting image is detected；
When receiving area image process instruction, determine to match with default figure information in first figure information
The second figure information；
Image procossing is carried out to second figure information, obtains processing image.
Further, following operation is also realized when the facial image processing program is executed by processor：
Obtain the portrait matching degree of first figure information and default figure information；
When the portrait matching degree is spent more than preset matching, determine in first figure information exist with it is described pre-
If matched second figure information of figure information.
Further, following operation is also realized when the facial image processing program is executed by processor：
Identify the corresponding human body information of second figure information；
Image procossing is carried out to the human body information.
Further, following operation is also realized when the facial image processing program is executed by processor：
Obtain the corresponding characteristics of human body of second figure information；
The corresponding human body information of second figure information is identified based on the characteristics of human body.
Further, following operation is also realized when the facial image processing program is executed by processor：
Detect skin area and non-skin region in the human body information；
Image procossing is carried out to the skin area, image protection is carried out to the non-skin region.
Further, following operation is also realized when the facial image processing program is executed by processor：
Image Fuzzy Processing is carried out to the skin area, obtains blurred picture；
According to the blurred picture and the shooting image generation processing image.
Further, following operation is also realized when the facial image processing program is executed by processor：
Detect the portrait characteristic information in the shooting image；
Based on the portrait characteristic information, the first figure information in the shooting image is detected.
Further, following operation is also realized when the facial image processing program is executed by processor：
When receiving adjust instruction, adjusting parameter is obtained, the processing image is adjusted based on the adjusting parameter
It is whole.
In addition, to achieve the above object, the present invention also proposes a kind of computer readable storage medium, described computer-readable
Facial image processing program is stored on storage medium, following operation is realized when the facial image processing program is executed by processor：
When getting shooting image, the first figure information in the shooting image is detected；
When receiving area image process instruction, determine to match with default figure information in first figure information
The second figure information；
Image procossing is carried out to second figure information, obtains processing image.
Further, following operation is also realized when the facial image processing program is executed by processor：
Obtain the portrait matching degree of first figure information and default figure information；
When the portrait matching degree is spent more than preset matching, determine in first figure information exist with it is described pre-
If matched second figure information of figure information.
Further, following operation is also realized when the facial image processing program is executed by processor：
Identify the corresponding human body information of second figure information；
Image procossing is carried out to the human body information.
Further, following operation is also realized when the facial image processing program is executed by processor：
Obtain the corresponding characteristics of human body of second figure information；
The corresponding human body information of second figure information is identified based on the characteristics of human body.
Further, following operation is also realized when the facial image processing program is executed by processor：
Detect skin area and non-skin region in the human body information；
Image procossing is carried out to the skin area, image protection is carried out to the non-skin region.
Further, following operation is also realized when the facial image processing program is executed by processor：
Image Fuzzy Processing is carried out to the skin area, obtains blurred picture；
According to the blurred picture and the shooting image generation processing image.
Further, following operation is also realized when the facial image processing program is executed by processor：
Detect the portrait characteristic information in the shooting image；
Based on the portrait characteristic information, the first figure information in the shooting image is detected.
Further, following operation is also realized when the facial image processing program is executed by processor：
When receiving adjust instruction, adjusting parameter is obtained, the processing image is adjusted based on the adjusting parameter
It is whole.
It should be noted that herein, term " comprising ", "comprising" or its any other variant are intended to non-row
His property includes, so that process, method, article or system including a series of elements not only include those elements, and
And it further includes other elements that are not explicitly listed or further includes intrinsic for this process, method, article or system institute
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including this
Also there are other identical elements in the process of element, method, article or system.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on such understanding, technical scheme of the present invention substantially in other words does the prior art
Going out the part of contribution can be embodied in the form of software product, which is stored in one as described above
In storage medium (such as ROM/RAM, magnetic disc, CD), including some instructions use so that a station terminal equipment (can be mobile phone,
Computer, server, air conditioner or network equipment etc.) perform method described in each embodiment of the present invention.
It these are only the preferred embodiment of the present invention, be not intended to limit the scope of the invention, it is every to utilize this hair
The equivalent structure or equivalent flow shift that bright specification and accompanying drawing content are made directly or indirectly is used in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
- A kind of 1. facial image processing method, which is characterized in that the facial image processing method includes：When getting shooting image, the first figure information in the shooting image is detected；When receiving area image process instruction, determine in first figure information with default figure information matched Two figure informations；Image procossing is carried out to second figure information, obtains processing image.
- 2. facial image processing method as described in claim 1, which is characterized in that it is described determine in first figure information with The step of default figure information matched second figure information, includes：Obtain the portrait matching degree of first figure information and default figure information；When the portrait matching degree is spent more than preset matching, determine exist and the default people in first figure information As the second figure information of information matches.
- 3. facial image processing method as described in claim 1, which is characterized in that described that image is carried out to second figure information The step of processing, includes：Identify the corresponding human body information of second figure information；Image procossing is carried out to the human body information.
- 4. facial image processing method as claimed in claim 3, which is characterized in that identification second figure information is corresponding The step of human body information, includes：Obtain the corresponding characteristics of human body of second figure information；The corresponding human body information of second figure information is identified based on the characteristics of human body.
- 5. facial image processing method as claimed in claim 3, which is characterized in that described that image procossing is carried out to the human body information The step of include：Detect skin area and non-skin region in the human body information；Image procossing is carried out to the skin area, image protection is carried out to the non-skin region.
- 6. facial image processing method as claimed in claim 5, which is characterized in that described that image procossing is carried out to the skin area The step of further include：Image Fuzzy Processing is carried out to the skin area, obtains blurred picture；According to the blurred picture and the shooting image generation processing image.
- 7. facial image processing method as described in claim 1, which is characterized in that the first in the detection shooting image As the step of information includes：Detect the portrait characteristic information in the shooting image；Based on the portrait characteristic information, the first figure information in the shooting image is detected.
- 8. facial image processing method as described in claim 1, which is characterized in that described that image is carried out to second figure information After the step of handling, obtaining processing image, the facial image processing method further includes：When receiving adjust instruction, adjusting parameter is obtained, the processing image is adjusted based on the adjusting parameter.
- 9. a kind of facial image processing device, which is characterized in that the facial image processing device includes：It memory, processor and is stored in On the memory and the facial image processing program that can run on the processor, the facial image processing program is by the processor It is realized during execution such as the step of facial image processing method described in any item of the claim 1 to 8.
- 10. a kind of computer readable storage medium, which is characterized in that be stored at portrait on the computer readable storage medium Program is managed, such as facial image processing described in any item of the claim 1 to 8 is realized when the facial image processing program is executed by processor The step of method.
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Application publication date: 20180629 |