CN106558039A - A kind of facial image processing method and device - Google Patents
A kind of facial image processing method and device Download PDFInfo
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- CN106558039A CN106558039A CN201510612934.5A CN201510612934A CN106558039A CN 106558039 A CN106558039 A CN 106558039A CN 201510612934 A CN201510612934 A CN 201510612934A CN 106558039 A CN106558039 A CN 106558039A
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- leg
- mean breadth
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- width
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10052—Images from lightfield camera
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Abstract
The embodiment of the invention discloses a kind of facial image processing method and device, the realization of wherein method includes：Primitive man is obtained as picture, shows the primitive man as picture in user interface；To the primitive man as picture carries out Face datection, the head width of head zone, and leg mean breadth are determined；Determine that the leg mean breadth wide as standard with the head width, then the leg area is modified, make leg mean breadth narrow；Revised portrait picture is shown in the user interface.The head of portrait picture is obtained by the way of Face datection, and leg mean breadth, it is whether wide to determine leg mean breadth according to head width, leg area is modified in the case where leg mean breadth is wide, do not need user manually operated, it is easy to be easy-to-use.
Description
Technical field
The present invention relates to field of computer technology, more particularly to a kind of facial image processing method and device.
Background technology
At present, with the popularization that digital camera, mobile phone, shooting are first-class, the quantity that picture is produced is increasingly
It is many, but due to light, apparatus for making a video recording, personal appearance, shooting angle shoots posture, lens distortion etc.
Etc. reason, the portrait picture effect after some shootings, particularly leg are often not fully up to expectations, particularly
Some schoolgirls, always feel elephant leg, short and thick short, can affect the whole structure of photograph.So some are special
The personage of industry can be processed with softwares such as a kind of photoshop (image processing software), and leg is attenuated,
So that personage is very thin, it is beautiful generous.
But at present using the method for software editing, for operator, not only learning cost is very high,
And operation is cumbersome, general user is difficult to grasp.
The content of the invention
A kind of facial image processing method and device is embodiments provided, it is easy to be easy-to-use right for providing
The scheme that portrait leg is modified.
A kind of facial image processing method, including：
Primitive man is obtained as picture, shows the primitive man as picture in user interface；
To the primitive man as picture carries out Face datection, the head width of head zone, and leg are determined
Portion's mean breadth；
Determine that the leg mean breadth wide as standard with the head width, then to the leg area
It is modified, makes leg mean breadth narrow；Revised portrait picture is shown in the user interface.
A kind of facial image processing device, including：
Picture acquiring unit, for obtaining primitive man as picture；
Display control unit, for showing the primitive man as picture in user interface；
Detector unit, determines the head of head zone for the primitive man as picture carries out Face datection
Portion's width, and leg mean breadth；
Amending unit, for determining that the leg mean breadth wide as standard with the head width, then
The leg area is modified, makes leg mean breadth narrow；
The display control unit, is additionally operable to show revised portrait picture in the user interface.
As can be seen from the above technical solutions, the embodiment of the present invention has advantages below：Using Face datection
Mode obtain the head of portrait picture, and leg mean breadth, determine leg according to head width
Whether mean breadth is wide, leg area is modified in the case where leg mean breadth is wide,
Do not need user manually operated, it is easy to be easy-to-use.
Description of the drawings
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, below will be in embodiment description
The required accompanying drawing for using is briefly introduced, it should be apparent that, drawings in the following description are only this
Some bright embodiments, for one of ordinary skill in the art, are not paying creative labor
On the premise of, can be with according to these other accompanying drawings of accompanying drawings acquisition.
Fig. 1 is present invention method schematic flow sheet；
Fig. 2 is embodiment of the present invention standing portrait picture schematic diagram；
Fig. 3 is embodiment of the present invention system structure diagram；
Fig. 4 is embodiment of the present invention subsystem configuration schematic diagram；
Fig. 5 is embodiment of the present invention picture encoding and decoding subsystem structure schematic diagram；
Fig. 6 is the embodiment of the present invention thin leg beautification subsystem structure schematic diagram automatically；
Fig. 7 is present invention method schematic flow sheet；
Fig. 8 is embodiment of the present invention facial image processing apparatus structure schematic diagram；
Fig. 9 is embodiment of the present invention facial image processing apparatus structure schematic diagram；
Figure 10 is embodiment of the present invention facial image processing apparatus structure schematic diagram；
Figure 11 is embodiment of the present invention facial image processing apparatus structure schematic diagram.
Specific embodiment
In order that the object, technical solutions and advantages of the present invention are clearer, below in conjunction with accompanying drawing to this
Invention is described in further detail, it is clear that described embodiment is only that the present invention is a part of to be implemented
Example, rather than the embodiment of whole.Based on the embodiment in the present invention, those of ordinary skill in the art exist
The all other embodiment obtained under the premise of not making creative work, belongs to present invention protection
Scope.
The embodiment of the present invention will propose a kind of method of the beautification portrait photo of automatically thin leg, intelligently can examine
The position of people leg is surveyed, identification people's leg is fat or thin, excessively thick people's leg is naturally reduced weight so that picture
In personage's leg type, it appears that more active, lovely, therefore personage also becomes beautiful beautiful, while not
Abnormal result can be introduced.Autodyning, living photo, art shine, the multiple scenes of wedding photography etc. have tool
Body and practical application.
A kind of facial image processing method is embodiments provided, as shown in figure 1, including：
101：Primitive man is obtained as picture, shows above-mentioned primitive man as picture in user interface；
Original portrait picture in the embodiment of the present invention, be for the portrait picture after subsequent correction,
Whether the primitive man is affected as being modified to constitute the realization of the embodiment of the present invention before picture,
Therefore the embodiment of the present invention is not relevant for primitive man as whether picture was once modified.Primitive man is as picture
Equipment can be derived from locally, or by taking pictures or receiving what outside incoming mode was obtained,
Concrete form is according to the different different of application scenarios.
102：To above-mentioned primitive man as picture carries out Face datection, the head width of head zone is determined, with
And leg mean breadth；
Face datection in the present embodiment, can be based on existing face recognition technology, and the present embodiment is to this
Further do not repeat.Head zone is the shared region in picture of head, the region have width this
One parameter, in the present embodiment leg mean breadth may each be single leg mean breadth, or both legs
Mean breadth, and do not need uniqueness to limit.
The embodiment of the present invention additionally provides the concrete calculation of leg mean breadth, as follows：Above-mentioned determination
The head width of head zone, and leg mean breadth includes：
Determine head in above-mentioned primitive man as the position in picture and the width and height of head；
With face location and face high computational leg area, the leg for calculating above-mentioned leg area is average
Width.
Present embodiments provide and leg area is calculated based on face height, be calculated leg area
Carry out leg mean breadth calculating afterwards again based on leg area.The acquisition pattern of leg area can be by
The body paint rule for finding according to Leonardo da Vinci and proposing, determines leg area.For example：Standardized human body's
It is the 1/8 of height that ratio is head, and shoulder breadth is the 1/4 of height, and with navel as boundary, upper lower part of the body ratio is 5：
8, meet " golden section " law.
Refer to shown in Fig. 2, front standing portrait example, the present embodiment still further provides more detailed
Thin calculation is as follows：It is if above-mentioned primitive man is positive standing portrait picture as picture, above-mentioned true
Head is determined in above-mentioned primitive man as the position in picture and the width and height of head；With face location with
And face high computational leg area, the leg mean breadth for calculating above-mentioned leg area includes：
The central point of note face is (fx,fy), the width and length (w of facef,hf)；
The parameter of note leg area is as follows：
Leg area is offline to be：Hby=yf-7.5*hf；
Leg area reach the standard grade for：Hty=hby+4hf；
The center line of leg area is：Hcy=2*hty/3；
The width of leg area is：Wc=2*w；
The rim detection of vertical direction is carried out to above-mentioned leg area, most long edge is extracted and is taken turns as leg
Exterior feature, so as to calculate leg mean breadth.
103：Determine that above-mentioned leg mean breadth wide as standard with above-mentioned head width, then to above-mentioned leg
Region is modified, and makes leg mean breadth narrow；Revised portrait figure is shown in above-mentioned user interface
Piece.
The embodiment of the present invention, obtains the head of portrait picture by the way of Face datection, and leg is put down
Whether width, wide to determine leg mean breadth according to head width, in leg mean breadth mistake
Leg area is modified in the case of width, it is not necessary to which user is manually operated, it is easy to be easy-to-use.
In the present embodiment, it is whether wide to judge leg for standard to adopt head width, based on leg
The parameter that mean breadth is adopted is different, can carry out adjustment slightly, such as：Using both legs mean breadth,
Then head width can be multiplied by 2 again plus or be multiplied by a coefficient more than or equal to 1, according to be single
Leg mean breadth then can directly adopt head width.It is specific as follows：It is above-mentioned with above-mentioned head width as mark
Accurately fixed above-mentioned leg mean breadth it is wide including：
Determine that above-mentioned leg mean breadth is more than above-mentioned head width, it is determined that above-mentioned leg mean breadth mistake
Width, above-mentioned leg mean breadth are the mean breadth of single leg.
The embodiment of the present invention still further provides the specific implementation of amendment, as follows：It is above-mentioned to above-mentioned
Leg area is modified, make leg mean breadth narrow including：
Calculate smoothing formula as follows：Wherein (r) is pixel and above-mentioned center
The horizontal range of point, d is the width of head；
To each leg area pixel (x, y), if above-mentioned pixel (x, y) with point leg in
The distance of heart point (xf, hcy) is r；
If its leg central point (xf, hcy) is less than 2d, and on leg central point (xf, the hcy) left side
The pixel value that pixel around [x, hcy-f (r)] after the bilinearity difference of four points is the pixel is taken then；
If its leg central point (xf, hcy) is less than 2d, and on the right of leg central point (xf, hcy)
The pixel value that pixel around [x, hcy+f (r)] after the bilinearity difference of four points is the pixel is taken then.
As mobile pixel may cause image unbalanced, in order to eliminate the effects of the act, the embodiment of the present invention is also
It is as follows there is provided solution：Said method also includes：
Histogram equalization processing is carried out to revised portrait picture.
Following examples will be illustrated to the embodiment of the present invention by taking front standing portrait as an example.This
Inventive embodiments propose a kind of implementation of the beautification portrait photo of thin leg automatically, can be with Intelligent Measurement people
The shape and profile of leg, recognizes the fat or thin of people leg, natural thin leg is carried out to excessively thick people's leg, is made
Obtain the personage's leg type in picture, it appears that more active, lovely, therefore personage also becomes beautiful beautiful,
Abnormal result will not be introduced simultaneously.
System provided in an embodiment of the present invention, as shown in figure 3, including three parts：UI (User Interface,
User interface) display subsystem, picture encoding and decoding subsystem, carefully leg beautifies subsystem automatically.
Wherein, UI display subsystems are responsible for picture and operation interface display；
Picture encoding and decoding subsystem responsible carries out coding-decoding operation to picture；
Automatically thin leg beautifies portrait photo's subsystem, is responsible for carrying out picture automatic thin leg.
(1), as shown in figure 4, each functions of modules of UI display subsystems is described as follows：
Picture display interface module：It is responsible for showing decoded image.
Reader action bar module：It is responsible for showing reader forms certain operations button, including key beautification
Button.
(2), as shown in figure 5, each functions of modules of picture encoding and decoding subsystem is described as follows：
Picture decoder module：For parsing the coding of picture, become original image information flow, RGB (red,
Green, blue, red, green, blue) form view data.
Coding of graphics module：Original image information flow is encoded to into JPEG (Joint Photographic Experts Group, Joint
Photographic Experts Group) etc. picture format.
(3), as shown in fig. 6, each functions of modules of thin leg beautification subsystem is described as follows automatically：
Face detection module：Detection face position in the picture
Leg locating module：Detection leg position region, and judge whether leg is excessively thick.
Leg image change module：For excessively thick leg image enters line translation.
Image beautifies adjusting module：Image after conversion is integrally adjusted.
Based on system above, the method for the beautification portrait photo of automatically thin leg provided in an embodiment of the present invention,
Its detailed handling process description, as shown in fig. 7, comprises：
After being input into a pictures, decoded respectively, Face datection, positioning leg portions region judges people's leg
Fat or thin coefficient, calculates conversion template, carries out diminution conversion to both legs, after equalizing to image histogram,
Photo after most beautifying at last is shown on interface.
Step one, decoding：Input picture is decoded into into the form of RGB.
Step 2, Face datection：Using the human face detection tech of excellent figure【1】, detect the position of photograph face
Put, remember that the central point of face is (fx,fy), the length and width (w of facef,hf), it is as shown below：
Step 3, calculating human leg region：The body paint rule for being found according to Leonardo da Vinci and being proposed：
It is the 1/8 of height that the ratio of standardized human body is head, and shoulder breadth is the 1/4 of height, with navel as boundary, up and down
Body ratio is 5：8, meet " golden section " law, by taking the portrait of front as an example, the region phase of the lower part of the body
Related parameter computing formula is as follows：
Personal total height：High=8*hf
Offline, that is, personal seven point coordinates of leg area：Hby=yf-7.5*hf
Reaching the standard grade for leg area, remembers half height：Hty=hby+4hf
The center line of leg area, remembers 2/3 position of leg：Hcy=2*hty/3
The width of leg area, remembers 2 times of head width:Wc=2*w
The position of parameters, as shown in Fig. 2 between leg area is exactly offline in leg area, and with
Centered on wf, region of the width for wc.
Step 4, detection people's leg width it is thin：In the region of previous step, the side of vertical direction is carried out
Edge detects that extracting most long edge, as leg profile, calculating the mean breadth of leg, w1, w2 are as schemed
It is shown, adjustment is needed if w1 or w2 is more than 1 head width wf.
Step 5：Calculate conversion template：According to smooth transformation formula
Wherein (r) is the horizontal range of pixel and central point, and d is the width of head.Smooth transformation is public
Formula is tested according to continuous, it is ensured that edge variation is little, and intermediate conversion is big.
Step 6, line translation is entered to people's leg area：To each leg area pixel (x, y), if
Which is r with a distance of leg central point (xf, hcy), if its leg central point (xf, hcy) is less than 2d,
And leg central point (xf, the hcy) left side then take four points around [x, hcy-f (r)] bilinearity difference it
Pixel afterwards is the pixel value of the pixel.If its leg central point (xf, hcy) is less than 2d, and in leg
[x, hcy+f (r)] around the pixel bilinearity difference of four points after is taken on the right of central point (xf, hcy) then
For the pixel value of the pixel.
Step 7, histogram equalization is carried out to image：Histogram equalization is carried out to whole picture, is carried
The contrast of hi-vision.
Step 8, it is shown to interface：Final result is shown to into interface
The embodiment of the present invention, can recognize that people's leg is fat or thin, to excessively thick with the approximate location of Intelligent Measurement people's leg
People's leg naturally reduced weight so that the personage's leg type in picture, it appears that more elongated, it is lovely,
Therefore personage also becomes beautiful beautiful, while abnormal result will not be introduced.Although above technical scheme is illustrated
The portrait stood is directed to, but for the portrait of other postures can also adopt the embodiment of the present invention
Transform method.
The embodiment of the present invention additionally provides a kind of facial image processing device, as shown in figure 8, including：
Picture acquiring unit 801, for obtaining primitive man as picture；
Display control unit 802, for showing above-mentioned primitive man as picture in user interface；
Detector unit 803, determines head zone for above-mentioned primitive man as picture carries out Face datection
Head width, and leg mean breadth；
Amending unit 804, for determining that above-mentioned leg mean breadth wide as standard with above-mentioned head width,
Then above-mentioned leg area is modified, makes leg mean breadth narrow；
Above-mentioned display control unit 802, is additionally operable to show revised portrait picture in above-mentioned user interface.
Original portrait picture in the embodiment of the present invention, be for the portrait picture after subsequent correction,
Whether the primitive man is affected as being modified to constitute the realization of the embodiment of the present invention before picture,
Therefore the embodiment of the present invention is not relevant for primitive man as whether picture was once modified.Primitive man is as picture
Equipment can be derived from locally, or by taking pictures or receiving what outside incoming mode was obtained,
Concrete form is according to the different different of application scenarios.
Face datection in the present embodiment, can be based on existing face recognition technology, and the present embodiment is to this
Further do not repeat.Head zone is the shared region in picture of head, the region have width this
One parameter, in the present embodiment leg mean breadth may each be single leg mean breadth, or both legs
Mean breadth, and do not need uniqueness to limit.
The embodiment of the present invention, obtains the head of portrait picture by the way of Face datection, and leg is put down
Whether width, wide to determine leg mean breadth according to head width, in leg mean breadth mistake
Leg area is modified in the case of width, it is not necessary to which user is manually operated, it is easy to be easy-to-use.
Alternatively, the embodiment of the present invention additionally provides the concrete calculation of leg mean breadth, as follows：
Above-mentioned detector unit 803, for determining head in above-mentioned primitive man as the position in picture and the width of head
Degree and height；With face location and face high computational leg area, the leg of above-mentioned leg area is calculated
Portion's mean breadth.
Present embodiments provide and leg area is calculated based on face height, be calculated leg area
Carry out leg mean breadth calculating afterwards again based on leg area.The acquisition pattern of leg area can be by
The body paint rule for finding according to Leonardo da Vinci and proposing, determines leg area.For example：Standardized human body's
It is the 1/8 of height that ratio is head, and shoulder breadth is the 1/4 of height, and with navel as boundary, upper lower part of the body ratio is 5：
8, meet " golden section " law.
Alternatively, in the present embodiment, it is whether wide to judge leg for standard to adopt head width,
The parameter adopted based on leg mean breadth is different, can carry out adjustment slightly, such as：Using both legs
Mean breadth, then head width can be multiplied by 2 again plus or be multiplied by one more than or equal to 1 coefficient, if
Use single leg mean breadth and then can directly adopt head width.It is specific as follows：Above-mentioned amending unit
804, for determining that above-mentioned leg mean breadth is more than above-mentioned head width, it is determined that above-mentioned leg is averagely wide
Width is spent, above-mentioned leg mean breadth is the mean breadth of single leg.
Alternatively, refer to shown in Fig. 2, front standing portrait example, the present embodiment are furthermore provided
More detailed calculation is as follows：Above-mentioned amending unit 804, if for above-mentioned primitive man as picture
For positive standing portrait picture, then remember that the central point of face is (fx,fy), the width and length (w of facef,hf)；
The parameter of note leg area is as follows：
Leg area is offline to be：Hby=yf-7.5*hf；
Leg area reach the standard grade for：Hty=hby+4hf；
The center line of leg area is：Hcy=2*hty/3；
The width of leg area is：Wc=2*w；
The rim detection of vertical direction is carried out to above-mentioned leg area, most long edge is extracted and is taken turns as leg
Exterior feature, so as to calculate leg mean breadth.
Alternatively, the embodiment of the present invention still further provides the specific implementation of amendment, as follows：
Above-mentioned amending unit 804, it is as follows for calculating smoothing formula：Wherein
R () is the horizontal range of pixel and above-mentioned central point, d is the width of head；
To each leg area pixel (x, y), if above-mentioned pixel (x, y) with point leg in
The distance of heart point (xf, hcy) is r；
If its leg central point (xf, hcy) is less than 2d, and on leg central point (xf, the hcy) left side
The pixel value that pixel around [x, hcy-f (r)] after the bilinearity difference of four points is the pixel is taken then；
If its leg central point (xf, hcy) is less than 2d, and on the right of leg central point (xf, hcy)
The pixel value that pixel around [x, hcy+f (r)] after the bilinearity difference of four points is the pixel is taken then.
Further, as mobile pixel may cause image unbalanced, in order to eliminate the effects of the act, this
It is as follows that bright embodiment additionally provides solution：As shown in figure 9, above-mentioned facial image processing device also includes：
Equilibrium treatment unit 901, for carrying out Nogata to 804 revised portrait picture of above-mentioned amending unit
Figure equalization processing.
The embodiment of the present invention additionally provides another kind of facial image processing device, as shown in Figure 10, including：
Receiver 1001, transmitter 1002, processor 1003, memory 1004 and display 1005；
Memory 1004 can be used for storing picture, and processor 1003 is carried out needed for data handling procedure
The caching wanted；
Wherein, above-mentioned processor 1003, for obtaining primitive man as picture, shows above-mentioned in user interface
Primitive man is as picture；To above-mentioned primitive man as picture carries out Face datection, the head width of head zone is determined
Degree, and leg mean breadth；Determine that above-mentioned leg mean breadth wide as standard with above-mentioned head width,
Then above-mentioned leg area is modified, makes leg mean breadth narrow；Show in above-mentioned user interface and repair
Portrait picture after just.
Original portrait picture in the embodiment of the present invention, be for the portrait picture after subsequent correction,
Whether the primitive man is affected as being modified to constitute the realization of the embodiment of the present invention before picture,
Therefore the embodiment of the present invention is not relevant for primitive man as whether picture was once modified.Primitive man is as picture
Equipment can be derived from locally, or by taking pictures or receiving what outside incoming mode was obtained,
Concrete form is according to the different different of application scenarios.
Face datection in the present embodiment, can be based on existing face recognition technology, and the present embodiment is to this
Further do not repeat.Head zone is the shared region in picture of head, the region have width this
One parameter, in the present embodiment leg mean breadth may each be single leg mean breadth, or both legs
Mean breadth, and do not need uniqueness to limit.
The embodiment of the present invention, obtains the head of portrait picture by the way of Face datection, and leg is put down
Whether width, wide to determine leg mean breadth according to head width, in leg mean breadth mistake
Leg area is modified in the case of width, it is not necessary to which user is manually operated, it is easy to be easy-to-use.
The embodiment of the present invention additionally provides the concrete calculation of leg mean breadth, as follows：Above-mentioned process
Device 1003, for determining the head width of head zone, and leg mean breadth includes：
Determine head in above-mentioned primitive man as the position in picture and the width and height of head；
With face location and face high computational leg area, the leg for calculating above-mentioned leg area is average
Width.
Present embodiments provide and leg area is calculated based on face height, be calculated leg area
Carry out leg mean breadth calculating afterwards again based on leg area.The acquisition pattern of leg area can be by
The body paint rule for finding according to Leonardo da Vinci and proposing, determines leg area.For example：Standardized human body's
It is the 1/8 of height that ratio is head, and shoulder breadth is the 1/4 of height, and with navel as boundary, upper lower part of the body ratio is 5：
8, meet " golden section " law.
Refer to shown in Fig. 2, front standing portrait example, the present embodiment still further provides more detailed
Thin calculation is as follows：If above-mentioned primitive man as picture be positive standing portrait picture, above-mentioned place
Reason device 1003, for determining head in above-mentioned primitive man as the position in picture and the width and height of head
Degree；With face location and face high computational leg area, the leg for calculating above-mentioned leg area is average
Width includes：
The central point of note face is (fx,fy), the width and length (w of facef,hf)；
The parameter of note leg area is as follows：
Leg area is offline to be：Hby=yf-7.5*hf；
Leg area reach the standard grade for：Hty=hby+4hf；
The center line of leg area is：Hcy=2*hty/3；
The width of leg area is：Wc=2*w；
The rim detection of vertical direction is carried out to above-mentioned leg area, most long edge is extracted and is taken turns as leg
Exterior feature, so as to calculate leg mean breadth.
In the present embodiment, it is whether wide to judge leg for standard to adopt head width, based on leg
The parameter that mean breadth is adopted is different, can carry out adjustment slightly, such as：Using both legs mean breadth,
Then head width can be multiplied by 2 again plus or be multiplied by a coefficient more than or equal to 1, according to be single
Leg mean breadth then can directly adopt head width.It is specific as follows：Above-mentioned processor 1003, for
Above-mentioned head width for standard determine above-mentioned leg mean breadth it is wide including：
Determine that above-mentioned leg mean breadth is more than above-mentioned head width, it is determined that above-mentioned leg mean breadth mistake
Width, above-mentioned leg mean breadth are the mean breadth of single leg.
The embodiment of the present invention still further provides the specific implementation of amendment, as follows：Above-mentioned processor
1003, for being modified to above-mentioned leg area, make leg mean breadth narrow including：
Calculate smoothing formula as follows：Wherein (r) is pixel and above-mentioned center
The horizontal range of point, d is the width of head；
To each leg area pixel (x, y), if above-mentioned pixel (x, y) with point leg in
The distance of heart point (xf, hcy) is r；
If its leg central point (xf, hcy) is less than 2d, and on leg central point (xf, the hcy) left side
The pixel value that pixel around [x, hcy-f (r)] after the bilinearity difference of four points is the pixel is taken then；
If its leg central point (xf, hcy) is less than 2d, and on the right of leg central point (xf, hcy)
The pixel value that pixel around [x, hcy+f (r)] after the bilinearity difference of four points is the pixel is taken then.
As mobile pixel may cause image unbalanced, in order to eliminate the effects of the act, the embodiment of the present invention is also
It is as follows there is provided solution：Above-mentioned processor 1003, is additionally operable to carry out directly revised portrait picture
Square figure equalization processing.
The embodiment of the present invention additionally provides another kind of facial image processing device, as shown in figure 11, for the ease of saying
It is bright, the part related to the embodiment of the present invention is illustrate only, particular technique details is not disclosed, be refer to
Present invention method part.By taking terminal as an example, terminal can be to include mobile phone, flat board electricity to the device
Brain, PDA (Personal Digital Assistant, personal digital assistant), POS (Point of Sales,
Point-of-sale terminal), the arbitrarily terminal device such as vehicle-mounted computer, so that terminal is as mobile phone as an example：
Figure 11 is illustrated that the frame of the part-structure of the mobile phone related to terminal provided in an embodiment of the present invention
Figure.With reference to Figure 11, mobile phone includes：Radio frequency (Radio Frequency, RF) circuit 1110, memory
1120th, input block 1130, display unit 1140, sensor 1150, voicefrequency circuit 1160, wireless guarantor
Very (wireless fidelity, WiFi) module 1170, processor 1180, and the part such as power supply 1190.
It will be understood by those skilled in the art that the handset structure illustrated in Figure 11 does not constitute the restriction to mobile phone,
Can include than illustrating more or less of part, or combine some parts, or different part cloth
Put.
Each component parts of mobile phone is specifically introduced with reference to Figure 11：
RF circuits 1110 can be used to receiving and sending messages or communication process in, the reception and transmission of signal, especially,
After the downlink information of base station is received, process to processor 1180；In addition, sending out up data are designed
Give base station.Generally, RF circuits 1110 include but is not limited to antenna, at least one amplifier, transmitting-receiving letter
Machine, coupler, low-noise amplifier (Low Noise Amplifier, LNA), duplexer etc..Additionally,
RF circuits 1110 can also be communicated with network and other equipment by radio communication.Above-mentioned radio communication can be with
Using arbitrary communication standard or agreement, including but not limited to global system for mobile communications (Global System
Of Mobile communication, GSM), general packet radio service (General Packet Radio
Service, GPRS), CDMA (Code Division Multiple Access, CDMA), broadband
CDMA (Wideband Code Division Multiple Access, WCDMA), Long Term Evolution
(Long Term Evolution, LTE), Email, Short Message Service (Short Messaging Service,
SMS) etc..
Memory 1120 can be used to store software program and module, and processor 1180 is by running storage
In the software program and module of memory 1120, so as to perform the various function application and data of mobile phone
Process.Memory 1120 can mainly include storing program area and storage data field, wherein, storing program area
Can storage program area, application program (such as sound-playing function, image needed at least one function
Playing function etc.) etc.；Storage data field can be stored and use created data (such as sound according to mobile phone
Frequency evidence, phone directory etc.) etc..Additionally, memory 1120 can include high-speed random access memory,
Can also include nonvolatile memory, for example, at least one disk memory, flush memory device or its
His volatile solid-state part.
Input block 1130 can be used for the numeral or character information of receives input, and produce the use with mobile phone
The key signals input that family is arranged and function control is relevant.Specifically, input block 1130 may include touch-control
Panel 1131 and other input equipments 1132.Contact panel 1131, also referred to as touch-screen, can collect use
Family thereon or neighbouring touch operation (such as user using any suitable objects such as finger, stylus or
Operation of the annex on contact panel 1131 or near contact panel 1131), and according to set in advance
Formula drives corresponding attachment means.Optionally, contact panel 1131 may include touch detecting apparatus and touch
Touch two parts of controller.Wherein, touch detecting apparatus detect the touch orientation of user, and detect touch
The signal that operation brings, transmits a signal to touch controller；Touch controller is from touch detecting apparatus
Touch information is received, and is converted into contact coordinate, then give processor 1180, and can reception processing
Order that device 1180 is sent simultaneously is performed.Furthermore, it is possible to adopt resistance-type, condenser type, infrared ray with
And the polytype such as surface acoustic wave realizes contact panel 1131.Except contact panel 1131, input block 1130
Other input equipments 1132 can also be included.Specifically, other input equipments 1132 can include but not limit
In physical keyboard, function key (such as volume control button, switch key etc.), trace ball, mouse, behaviour
Make one or more in bar etc..
Display unit 1140 can be used for display by the information of user input or be supplied to the information and hand of user
The various menus of machine.Display unit 1140 may include display floater 1141, optionally, can adopt liquid crystal
Display (Liquid Crystal Display, LCD), Organic Light Emitting Diode (Organic Light-Emitting
Diode, OLED) etc. form configuring display floater 1141.Further, contact panel 1131 can cover
Lid display floater 1141, when contact panel 1131 is detected thereon or after neighbouring touch operation, transmission
To processor 1180 to determine the type of touch event, with preprocessor 1180 according to the class of touch event
Type provides corresponding visual output on display floater 1141.Although in fig. 11, contact panel 1131
With display floater 1141 be as two independent parts realizing input and the input function of mobile phone, but
In some embodiments it is possible to will be contact panel 1131 integrated with display floater 1141 and realize mobile phone
Input and output function.
Mobile phone may also include at least one sensor 1150, such as optical sensor, motion sensor and its
His sensor.Specifically, optical sensor may include ambient light sensor and proximity transducer, wherein, ring
Border optical sensor can adjust the brightness of display floater 1141, proximity transducer according to the light and shade of ambient light
Display floater 1141 and/or backlight can be closed when mobile phone is moved in one's ear.As the one of motion sensor
Kind, the size of (generally three axles) acceleration in the detectable all directions of accelerometer sensor, when static
Can detect that size and the direction of gravity, can be used for recognize mobile phone attitude application (such as horizontal/vertical screen switching,
Dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap) etc.；Extremely
The gyroscope that can also configure in mobile phone, barometer, hygrometer, thermometer, infrared ray sensor etc. other
Sensor, will not be described here.
Voicefrequency circuit 1160, loudspeaker 1161, microphone 1162 can provide the audio frequency between user and mobile phone
Interface.Electric signal after the voice data for receiving conversion can be transferred to loudspeaker by voicefrequency circuit 1160
1161, voice signal output is converted to by loudspeaker 1161；On the other hand, microphone 1162 by collect
Voice signal is converted to electric signal, is converted to voice data after being received by voicefrequency circuit 1160, then by audio frequency
After the process of data output processing device 1180, Jing RF circuits 1110 being sent to such as another mobile phone, or
Voice data is exported to memory 1120 further to process.
WiFi belongs to short range wireless transmission technology, and mobile phone can help user by WiFi module 1170
Send and receive e-mail, browse webpage and access streaming video etc., it is mutual that it has provided the user wireless broadband
Internet interview.Although Figure 11 shows WiFi module 1170, but it is understood that, which does not belong to
Must be configured in mobile phone, can omit in the scope of essence for not changing invention completely as needed.
Processor 1180 is the control centre of mobile phone, using each of various interfaces and connection whole mobile phone
Individual part, by running or performing the software program and/or module being stored in memory 1120, and adjusts
With the data being stored in memory 1120, the various functions and processing data of mobile phone are performed, so as to opponent
Machine carries out integral monitoring.Optionally, processor 1180 may include one or more processing units；Preferably,
Processor 1180 can integrated application processor and modem processor, wherein, application processor is mainly located
Reason operating system, user interface and application program etc., modem processor mainly processes radio communication.
It is understood that above-mentioned modem processor can not also be integrated in processor 1180.
Mobile phone also includes the power supply 1190 (such as battery) powered to all parts, it is preferred that power supply can be with
It is logically contiguous with processor 1180 by power-supply management system, so as to realize managing by power-supply management system
The functions such as charging, electric discharge and power managed.
Although not shown, mobile phone can also include camera, bluetooth module etc., will not be described here.
In embodiments of the present invention, the processor 1180 included by the terminal also has execution method flow
Function；Above method flow process is performed can be based on the hardware configuration of above mobile phone.
It should be noted that in above-mentioned facial image processing device embodiment, included unit is simply pressed
Divided according to function logic, but be not limited to above-mentioned division, as long as corresponding work(can be realized
Can；In addition, the specific name of each functional unit is also only to facilitate mutually differentiation, is not used to
Limit the scope of the invention.
In addition, one of ordinary skill in the art will appreciate that whole in realizing above-mentioned each method embodiment or
The hardware that part steps can be by program to instruct correlation is completed, and corresponding program can be stored in one
In kind of computer-readable recording medium, storage medium mentioned above can be read-only storage, disk or
CD etc..
The present invention preferably specific embodiment is these are only, but protection scope of the present invention is not limited to
This, any those familiar with the art, can in the technical scope that the embodiment of the present invention is disclosed
The change or replacement for readily occurring in, should all be included within the scope of the present invention.Therefore, the present invention
Protection domain should be defined by scope of the claims.
Claims (12)
1. a kind of facial image processing method, it is characterised in that include：
Primitive man is obtained as picture, shows the primitive man as picture in user interface；
To the primitive man as picture carries out Face datection, the head width of head zone, and leg are determined
Portion's mean breadth；
Determine that the leg mean breadth wide as standard with the head width, then to the leg area
It is modified, makes leg mean breadth narrow；Revised portrait picture is shown in the user interface.
2. method according to claim 1, it is characterised in that the head width of the determination head zone
Spend, and leg mean breadth includes：
Determine head in the primitive man as the position in picture and the width and height of head；
With face location and face high computational leg area, the leg for calculating the leg area is average
Width.
3. method according to claim 2, it is characterised in that described with the head width as standard
Determine the leg mean breadth it is wide including：
Determine that the leg mean breadth is more than the head width, it is determined that the leg mean breadth mistake
Width, the leg mean breadth are the mean breadth of single leg.
4. method according to claim 2, it is characterised in that the primitive man is positive as picture
Standing portrait picture, the determination head is in the primitive man as the position in picture and the width of head
And height；With face location and face high computational leg area, the leg of the leg area is calculated
Mean breadth includes：
The central point of note face is (fx,fy), the width and length (w of facef,hf)；
The parameter of note leg area is as follows：
Leg area is offline to be：Hby=yf-7.5*hf；
Leg area reach the standard grade for：Hty=hby+4hf；
The center line of leg area is：Hcy=2*hty/3；
The width of leg area is：Wc=2*w；
The rim detection of vertical direction is carried out to above-mentioned leg area, most long edge is extracted and is taken turns as leg
Exterior feature, so as to calculate leg mean breadth.
5. method according to claim 4, it is characterised in that described that the leg area is repaiied
Just, make leg mean breadth narrow including：
Calculate smoothing formula as follows： Wherein (r) is pixel and the center
The horizontal range of point, d is the width of head；
To each leg area pixel (x, y), if the pixel (x, y) with point leg in
The distance of heart point (xf, hcy) is r；
If its leg central point (xf, hcy) is less than 2d, and on leg central point (xf, the hcy) left side
The pixel value that pixel around [x, hcy-f (r)] after the bilinearity difference of four points is the pixel is taken then；
If its leg central point (xf, hcy) is less than 2d, and on the right of leg central point (xf, hcy)
The pixel value that pixel around [x, hcy+f (r)] after the bilinearity difference of four points is the pixel is taken then.
6. method according to claim 5, it is characterised in that methods described also includes：
Histogram equalization processing is carried out to revised portrait picture.
7. a kind of facial image processing device, it is characterised in that include：
Picture acquiring unit, for obtaining primitive man as picture；
Display control unit, for showing the primitive man as picture in user interface；
Detector unit, determines the head of head zone for the primitive man as picture carries out Face datection
Portion's width, and leg mean breadth；
Amending unit, for determining that the leg mean breadth wide as standard with the head width, then
The leg area is modified, makes leg mean breadth narrow；
The display control unit, is additionally operable to show revised portrait picture in the user interface.
8. facial image processing device according to claim 7, it is characterised in that
The detector unit, for determining head in the primitive man as the position in picture and head
Width and height；With face location and face high computational leg area, the leg area is calculated
Leg mean breadth.
9. facial image processing device according to claim 8, it is characterised in that
The amending unit, for determining that the leg mean breadth is more than the head width, it is determined that
The leg mean breadth is wide, and the leg mean breadth is the mean breadth of single leg.
10. facial image processing device according to claim 8, it is characterised in that
The amending unit, if remembering as picture is positive standing portrait picture for the primitive man
The central point of face is (fx,fy), the width and length (w of facef,hf)；
The parameter of note leg area is as follows：
Leg area is offline to be：Hby=yf-7.5*hf；
Leg area reach the standard grade for：Hty=hby+4hf；
The center line of leg area is：Hcy=2*hty/3；
The width of leg area is：Wc=2*w；
The rim detection of vertical direction is carried out to above-mentioned leg area, most long edge is extracted and is taken turns as leg
Exterior feature, so as to calculate leg mean breadth.
11. facial image processing devices according to claim 10, it is characterised in that
The amending unit, it is as follows for calculating smoothing formula： Wherein (r)
It is the horizontal range of pixel and the central point, d is the width of head；
To each leg area pixel (x, y), if the pixel (x, y) with point leg in
The distance of heart point (xf, hcy) is r；
If its leg central point (xf, hcy) is less than 2d, and on leg central point (xf, the hcy) left side
The pixel value that pixel around [x, hcy-f (r)] after the bilinearity difference of four points is the pixel is taken then；
If its leg central point (xf, hcy) is less than 2d, and on the right of leg central point (xf, hcy)
The pixel value that pixel around [x, hcy+f (r)] after the bilinearity difference of four points is the pixel is taken then.
12. according to claim 11 facial image processing device, it is characterised in that facial image processing dress
Putting also includes：
Equilibrium treatment unit, for carrying out histogram equalization to the revised portrait picture of the amending unit
Change is processed.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108830783A (en) * | 2018-05-31 | 2018-11-16 | 北京市商汤科技开发有限公司 | A kind of image processing method, device and computer storage medium |
| CN109658355A (en) * | 2018-12-19 | 2019-04-19 | 维沃移动通信有限公司 | A kind of image processing method and device |
| CN110136051A (en) * | 2019-04-30 | 2019-08-16 | 北京市商汤科技开发有限公司 | A kind of image processing method, device and computer storage medium |
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06195431A (en) * | 1992-12-25 | 1994-07-15 | Casio Comput Co Ltd | Montage preparation device |
| US20020065452A1 (en) * | 2000-11-29 | 2002-05-30 | Roland Bazin | Process for diagnosing conditions of external body portions and features of products applied thereto |
| JP2009265732A (en) * | 2008-04-22 | 2009-11-12 | Toshiba Corp | Image processor and method thereof |
| CN101616236A (en) * | 2008-06-23 | 2009-12-30 | 松下电器产业株式会社 | Image adjusts big or small processing unit and image is adjusted big or small processing method |
| CN102027505A (en) * | 2008-07-30 | 2011-04-20 | 泰塞拉技术爱尔兰公司 | Automatic face and skin beautification using face detection |
| WO2013038732A1 (en) * | 2011-09-15 | 2013-03-21 | オムロン株式会社 | Image processing device, image processing method, control program, and recording medium |
| CN103679175A (en) * | 2013-12-13 | 2014-03-26 | 电子科技大学 | Fast 3D skeleton model detecting method based on depth camera |
| CN103810750A (en) * | 2014-01-16 | 2014-05-21 | 北京航空航天大学 | Human body section ring based parametric deformation method |
| CN104537608A (en) * | 2014-12-31 | 2015-04-22 | 深圳市中兴移动通信有限公司 | Image processing method and device |
-
2015
- 2015-09-23 CN CN201510612934.5A patent/CN106558039B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06195431A (en) * | 1992-12-25 | 1994-07-15 | Casio Comput Co Ltd | Montage preparation device |
| US20020065452A1 (en) * | 2000-11-29 | 2002-05-30 | Roland Bazin | Process for diagnosing conditions of external body portions and features of products applied thereto |
| JP2009265732A (en) * | 2008-04-22 | 2009-11-12 | Toshiba Corp | Image processor and method thereof |
| CN101616236A (en) * | 2008-06-23 | 2009-12-30 | 松下电器产业株式会社 | Image adjusts big or small processing unit and image is adjusted big or small processing method |
| CN102027505A (en) * | 2008-07-30 | 2011-04-20 | 泰塞拉技术爱尔兰公司 | Automatic face and skin beautification using face detection |
| WO2013038732A1 (en) * | 2011-09-15 | 2013-03-21 | オムロン株式会社 | Image processing device, image processing method, control program, and recording medium |
| CN103679175A (en) * | 2013-12-13 | 2014-03-26 | 电子科技大学 | Fast 3D skeleton model detecting method based on depth camera |
| CN103810750A (en) * | 2014-01-16 | 2014-05-21 | 北京航空航天大学 | Human body section ring based parametric deformation method |
| CN104537608A (en) * | 2014-12-31 | 2015-04-22 | 深圳市中兴移动通信有限公司 | Image processing method and device |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108830783A (en) * | 2018-05-31 | 2018-11-16 | 北京市商汤科技开发有限公司 | A kind of image processing method, device and computer storage medium |
| US11288796B2 (en) * | 2018-05-31 | 2022-03-29 | Beijing Sensetime Technology Development Co., Ltd. | Image processing method, terminal device, and computer storage medium |
| CN110852932A (en) * | 2018-08-21 | 2020-02-28 | 北京市商汤科技开发有限公司 | Image processing method and apparatus, image device, and storage medium |
| CN110852933A (en) * | 2018-08-21 | 2020-02-28 | 北京市商汤科技开发有限公司 | Image processing method and apparatus, image processing device, and storage medium |
| CN110852934A (en) * | 2018-08-21 | 2020-02-28 | 北京市商汤科技开发有限公司 | Image processing method and apparatus, image device, and storage medium |
| CN110852932B (en) * | 2018-08-21 | 2024-03-08 | 北京市商汤科技开发有限公司 | Image processing method and device, image equipment and storage medium |
| CN110880156A (en) * | 2018-09-05 | 2020-03-13 | 武汉斗鱼网络科技有限公司 | Long-leg special effect implementation method, storage medium, equipment and system |
| CN110880155A (en) * | 2018-09-05 | 2020-03-13 | 武汉斗鱼网络科技有限公司 | Method, storage medium, device and system for realizing long leg special effect |
| CN109658355A (en) * | 2018-12-19 | 2019-04-19 | 维沃移动通信有限公司 | A kind of image processing method and device |
| US11501407B2 (en) | 2019-04-30 | 2022-11-15 | Beijing Sensetime Technology Development Co., Ltd. | Method and apparatus for image processing, and computer storage medium |
| CN110136051A (en) * | 2019-04-30 | 2019-08-16 | 北京市商汤科技开发有限公司 | A kind of image processing method, device and computer storage medium |
| CN110264430A (en) * | 2019-06-29 | 2019-09-20 | 北京字节跳动网络技术有限公司 | Video beautification method, device and electronic equipment |
| CN110264430B (en) * | 2019-06-29 | 2022-04-15 | 北京字节跳动网络技术有限公司 | Video beautifying method and device and electronic equipment |
| CN112380990A (en) * | 2020-11-13 | 2021-02-19 | 咪咕文化科技有限公司 | Picture adjusting method, electronic device and readable storage medium |
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