CN106558039B - 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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- CN106558039B CN106558039B CN201510612934.5A CN201510612934A CN106558039B CN 106558039 B CN106558039 B CN 106558039B CN 201510612934 A CN201510612934 A CN 201510612934A CN 106558039 B CN106558039 B CN 106558039B
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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 devices, and wherein the realization of method includes: to obtain original portrait picture, show the original portrait picture in user interface；Face datection is carried out to the original portrait picture, determines the head width and leg mean breadth of head zone；It determines that the leg mean breadth is wide using the head width as standard, then the leg area is modified, leg mean breadth is made to 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, determine whether leg mean breadth is wide according to head width, leg area is modified in the case that mean breadth is wide in leg, user's manual operation is not needed, it is easy to be easy-to-use.
Description
Technical field
The present invention relates to field of computer technology, in particular to a kind of facial image processing method and device.
Background technique
Currently, popularizing with digital camera, mobile phone, camera etc., the quantity that picture generates is more and more, but due to light
Line, apparatus for making a video recording, personal appearance, shooting angle shoot posture, lens distortion and other reasons, the portrait picture after some shootings
Effect, especially leg, often not fully up to expectations, especially some schoolgirls always feel elephant leg, short and thick short, will affect photograph
Overall effect.So the personage of some professions can be handled with softwares such as a kind of photoshop (image processing software), by leg
Portion attenuates, so that personage is very thin, it is beautiful generous.
But the method for using software editing at present, for operator, not only learning cost is very high, and operates ratio
Cumbersome, general user is difficult to grasp.
Summary of the invention
The embodiment of the invention provides a kind of facial image processing method and devices, simple and easy-to-use to portrait leg for providing
The scheme being modified.
A kind of facial image processing method, comprising:
Original portrait picture is obtained, shows the original portrait picture in user interface；
Face datection is carried out to the original portrait picture, determines the average width of the head width of head zone and leg
Degree；
It determines that the leg mean breadth is wide using the head width as standard, then the leg area is repaired
Just, leg mean breadth is made to narrow；Revised portrait picture is shown in the user interface.
A kind of facial image processing device, comprising:
Picture acquiring unit, for obtaining original portrait picture；
Display control unit, for showing the original portrait picture in user interface；
Detection unit, for determining the head width of head zone to the original portrait picture progress Face datection, with
And leg mean breadth；
Amending unit, for determining that the leg mean breadth is wide using the head width as standard, then to the leg
Portion region is modified, and leg mean breadth is made to narrow；
The display control unit is also used to show revised portrait picture in the user interface.
As can be seen from the above technical solutions, the embodiment of the present invention is had the advantage that and is obtained by the way of Face datection
Head and the leg mean breadth for obtaining portrait picture, determine whether leg mean breadth is wide according to head width, In
Leg area is modified in the case that leg mean breadth is wide, does not need user's manual operation, it is easy to be easy-to-use.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly introduced, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this
For the those of ordinary skill in field, without any creative labor, it can also be obtained according to these attached drawings
His attached drawing.
Fig. 1 is present invention method flow diagram；
Fig. 2 is standing of embodiment of the present invention portrait picture schematic diagram；
Fig. 3 is system structure diagram of the embodiment of the present invention；
Fig. 4 is subsystem configuration of embodiment of the present invention schematic diagram；
Fig. 5 is picture of embodiment of the present invention encoding and decoding subsystem structure schematic diagram；
Fig. 6 is that thin leg beautifies subsystem structure schematic diagram to the embodiment of the present invention automatically；
Fig. 7 is present invention method flow diagram；
Fig. 8 is facial image processing of embodiment of the present invention apparatus structure schematic diagram；
Fig. 9 is facial image processing of embodiment of the present invention apparatus structure schematic diagram；
Figure 10 is facial image processing of embodiment of the present invention apparatus structure schematic diagram；
Figure 11 is facial image processing of embodiment of the present invention apparatus structure schematic diagram.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention make into
It is described in detail to one step, it is clear that the described embodiments are only some of the embodiments of the present invention, rather than whole implementation
Example.Based on the embodiments of the present invention, obtained by those of ordinary skill in the art without making creative efforts
All other embodiment, shall fall within the protection scope of the present invention.
The method that the embodiment of the present invention will propose a kind of beautification portrait photo of automatic thin leg, can be with intelligent measurement people leg
Position, identification people's leg it is fat or thin, naturally reduced weight to excessively thick people's leg, so that personage's leg type in picture, it appears that more
Add vivaciously, lovely, therefore personage also becomes beautiful beautiful, while will not introduce abnormal result.In self-timer, living photo, art shines,
The multiple scenes of wedding photography etc., there is specific and practical application.
The embodiment of the invention provides a kind of facial image processing methods, as shown in Figure 1, comprising:
101: obtaining original portrait picture, show above-mentioned original portrait picture in user interface；
Original portrait picture, is for the portrait picture after subsequent correction, this is original in the embodiment of the present invention
Whether influence, therefore the embodiment of the present invention is simultaneously if being modified that the realization of the embodiment of the present invention can't be constituted before portrait picture
It is indifferent to whether original portrait picture was once modified.Original portrait picture can be local from equipment, is also possible to lead to
It crosses and takes pictures or receive what external incoming mode obtained, concrete form is different according to the difference of application scenarios.
102: Face datection being carried out to above-mentioned original portrait picture, determines that the head width of head zone and leg are flat
Equal width；
Face datection in the present embodiment, can be based on existing face recognition technology, and the present embodiment does not make into one this
Step repeats.Head zone is head region shared in picture, which has this parameter of width, in the present embodiment leg
Portion's mean breadth may each be single leg mean breadth, be also possible to both legs mean breadth, not need uniqueness restriction.
It is as follows the embodiment of the invention also provides the specific calculation of leg mean breadth: above-mentioned determining head zone
Head width and leg mean breadth include:
Determine the width and height of position and head of the head in above-mentioned original portrait picture；
Leg area is calculated with face location and face height, calculates the leg mean breadth of above-mentioned leg area.
It present embodiments provides and calculates leg area based on face height, again with leg after leg area is calculated
Mean breadth calculating in leg is carried out based on portion region.What the acquisition pattern of leg area can find and propose according to Leonardo da Vinci
Body paint rule, to determine leg area.Such as: the ratio of standardized human body is that head is the 1/8 of height, and shoulder breadth is the 1/ of height
4, using navel as boundary, upper lower part of the body ratio is 5:8, meets " golden section " law.
It please refers to shown in Fig. 2, positive standing portrait example, the present embodiment still further provides more detailed calculating side
Formula, as follows: if above-mentioned original portrait picture is positive standing portrait picture, above-mentioned determining head is in above-mentioned original portrait picture
In position and head width and height；Leg area is calculated with face location and face height, calculates above-mentioned leg
The leg mean breadth in region includes:
The central point for remembering face is (fx,fy), the width of face and long (wf,hf)；
Remember that the parameter of leg area is as follows:
Leg area is offline are as follows: hby=yf-7.5*hf；
Leg area is online are as follows: hty=hby+4hf；
The center line of leg area are as follows: hcy=2*hty/3；
The width of leg area are as follows: wc=2*w；
The edge detection that vertical direction is carried out to above-mentioned leg area, extracts longest edge as leg profile, thus
Calculate leg mean breadth.
103: determining that above-mentioned leg mean breadth is wide using above-mentioned head width as standard, then above-mentioned leg area is carried out
Amendment, makes leg mean breadth narrow；Revised portrait picture is shown in above-mentioned user interface.
The embodiment of the present invention obtains head and the leg mean breadth of portrait picture by the way of Face datection, according to
Determine whether leg mean breadth wide according to head width, in the case that in leg, mean breadth is wide to leg area into
Row amendment does not need user's manual operation, easy to be easy-to-use.
In the present embodiment, use head width for standard come judge leg be it is wide, be based on leg mean breadth
The parameter of use is different, can carry out adjustment slightly, such as: both legs mean breadth is used, then head width can be multiplied by 2 again
Add or multiplied by one be more than or equal to 1 coefficient, according to be that head width then can be directly used in single leg mean breadth.Tool
Body is as follows: above-mentioned to determine that above-mentioned leg mean breadth is wide as standard using above-mentioned head width and include:
Determine that above-mentioned leg mean breadth is greater than above-mentioned head width, it is determined that above-mentioned leg mean breadth is wide, above-mentioned
Leg mean breadth is the mean breadth of single leg.
The embodiment of the present invention still further provides modified specific implementation, as follows: above-mentioned to above-mentioned leg area
It is modified, makes leg mean breadth narrow to include:
It is as follows to calculate smoothing formula:Wherein (r) is pixel and above-mentioned center
The horizontal distance of point, d is the width on head；
To each pixel (x, y) in leg area, if above-mentioned pixel (x, y) and point leg central point (xf, hcy)
Distance be r；
If its leg central point (xf, hcy) is less than 2d, and then takes [x, hcy-f on the left side leg central point (xf, hcy)
(r)] pixel around after the bilinearity difference of four points is the pixel value of the pixel；
If its leg central point (xf, hcy) is less than 2d, and then takes [x, hcy+f on the right of leg central point (xf, hcy)
(r)] pixel around after the bilinearity difference of four points is the pixel value of the pixel.
Since mobile pixel may cause, image is unbalanced, and in order to eliminate the effects of the act, the embodiment of the invention also provides solutions
Certainly scheme is as follows: the above method further include:
Histogram equalization processing is carried out to revised portrait picture.
Following embodiment will be illustrated the embodiment of the present invention by taking positive standing portrait as an example.The present invention is implemented
Example proposes the implementation of the beautification portrait photo of automatic thin leg a kind of, can be known with the shape and profile of intelligent measurement people leg
Others' leg it is fat or thin, naturally thin leg is carried out to excessively thick people's leg, so that personage's leg type in picture, it appears that more living
It sprinkles, lovely, therefore personage also becomes beautiful beautiful, while will not introduce abnormal result.
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, automatic thin leg beautification subsystem.
Wherein, UI display subsystem is responsible for picture and operation interface display；
Picture encoding and decoding subsystem responsible carries out coding-decoding operation to picture；
Automatic 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 subsystem is described as follows:
Picture display interface module: it is responsible for showing decoded image.
Reader action bar module: being responsible for the display some operation buttons of reader forms, including a key beautifies button.
(2), as shown in figure 5, each functions of modules of picture encoding and decoding subsystem is described as follows:
Picture decoder module: the coding for parsing picture becomes original image information flow, RGB (red, green, blue, red,
Green, blue) format image data.
Coding of graphics module: original image information flow is encoded to JPEG (Joint Photographic Experts Group, Joint
Photographic Experts Group) etc. picture formats.
(3), as shown in fig. 6, automatic thin leg beautification each functions of modules of subsystem is described as follows:
Face detection module: the position of detection face in the picture
Leg locating module: detection leg position region, and judge whether leg is excessively thick.
Leg image change module: excessively thick leg image is converted.
Image beautification adjustment module: transformed image is integrally adjusted.
Based on system above, the method for the beautification portrait photo of automatic thin leg provided in an embodiment of the present invention is detailed
Process flow description, as shown in fig. 7, comprises:
It after inputting a picture, is decoded respectively, Face datection, positioning leg portions region, judges the fat or thin coefficient of people's leg, count
Transformation template is calculated, diminution transformation is carried out to both legs, after image histogram equalization, the photo after beautification is finally shown to boundary
On face.
Step 1: decoding: input picture is decoded into the format of RGB.
Step 2: Face datection: using the human face detection tech [1] of excellent figure, detecting the position of photograph face, remember face
Central point 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 and being proposed according to Leonardo da Vinci: standardized human body
Ratio be head be the 1/8 of height, shoulder breadth is the 1/4 of height, and using navel as boundary, upper lower part of the body ratio is 5:8, meets " gold point
Cut " law, by taking the portrait of front as an example, the region the calculation formulae for related parameters of the lower part of the body is as follows:
Personal total height: high=8*hf
Offline, that is, personal 7 coordinates of leg area: hby=yf-7.5*hf
Online, half of the height of note: hty=hby+4hf of leg area
The center line of leg area remembers 2/3 position of leg: hcy=2*hty/3
The width of leg area remembers head width 2 times: wc=2*w
The position of parameters, as shown in Fig. 2, leg area is exactly between offline in leg area, and centered on wf,
Width is the region of wc.
Step 4: the width of detection people's leg is thin: in the region of previous step, carrying out the edge detection of vertical direction, mention
Longest edge is taken, as leg profile, calculates the mean breadth of leg, w1, w2 are as shown, if w1 or w2 is greater than 1
A head width wf then needs to adjust.
Step 5: transformation template is calculated: according to smooth transformation formula
Wherein (r) is the horizontal distance of pixel and central point, and d is the width on head.Smooth transformation formula is according to not
Disconnected test, it is ensured that edge variation is small, and intermediate conversion is big.
Step 6: being converted to people's leg area: to each pixel (x, y) in leg area, if itself and a leg
The distance of portion's central point (xf, hcy) be r, if its leg central point (xf, hcy) be less than 2d, and leg central point (xf,
Hcy it is the pixel value of the pixel that) left side, which then takes the pixel around [x, hcy-f (r)] after the bilinearity difference of four points,.If
Its leg central point (xf, hcy) is less than 2d, and four are then taken around [x, hcy+f (r)] on the right of leg central point (xf, hcy)
Pixel after the bilinearity difference of point is the pixel value of the pixel.
Step 7: carrying out histogram equalization to image: carrying out histogram equalization to entire picture, improve pair of image
Degree of ratio.
Step 8: being shown to interface: by final as the result is shown to interface
The embodiment of the present invention can be identified that people's leg is fat or thin, be carried out to excessively thick people's leg with the approximate location of intelligent measurement people's leg
Naturally weight reducing, so that personage's leg type in picture, it appears that more elongated, lovely, therefore personage also becomes beautiful beautiful, together
Shi Buhui introduces abnormal result.Although above technical scheme citing is directed to the portrait stood, for other postures
Portrait can also use the transform method of the embodiment of the present invention.
The embodiment of the invention also provides a kind of facial image processing devices, as shown in Figure 8, comprising:
Picture acquiring unit 801, for obtaining original portrait picture；
Display control unit 802, for showing above-mentioned original portrait picture in user interface；
Detection unit 803 determines that the head of head zone is wide for carrying out Face datection to above-mentioned original portrait picture
Degree and leg mean breadth；
Amending unit 804, for determining that above-mentioned leg mean breadth is wide using above-mentioned head width as standard, then to above-mentioned
Leg area is modified, and leg mean breadth is made to narrow；
Above-mentioned display control unit 802 is also used to show revised portrait picture in above-mentioned user interface.
Original portrait picture, is for the portrait picture after subsequent correction, this is original in the embodiment of the present invention
Whether influence, therefore the embodiment of the present invention is simultaneously if being modified that the realization of the embodiment of the present invention can't be constituted before portrait picture
It is indifferent to whether original portrait picture was once modified.Original portrait picture can be local from equipment, is also possible to lead to
It crosses and takes pictures or receive what external incoming mode obtained, concrete form is different according to the difference of application scenarios.
Face datection in the present embodiment, can be based on existing face recognition technology, and the present embodiment does not make into one this
Step repeats.Head zone is head region shared in picture, which has this parameter of width, in the present embodiment leg
Portion's mean breadth may each be single leg mean breadth, be also possible to both legs mean breadth, not need uniqueness restriction.
The embodiment of the present invention obtains head and the leg mean breadth of portrait picture by the way of Face datection, according to
Determine whether leg mean breadth wide according to head width, in the case that in leg, mean breadth is wide to leg area into
Row amendment does not need user's manual operation, easy to be easy-to-use.
Optionally, as follows the embodiment of the invention also provides the specific calculation of leg mean breadth: above-mentioned detection list
Member 803, for determining the width and height of position and head of the head in above-mentioned original portrait picture；With face location with
And face height calculates leg area, calculates the leg mean breadth of above-mentioned leg area.
It present embodiments provides and calculates leg area based on face height, again with leg after leg area is calculated
Mean breadth calculating in leg is carried out based on portion region.What the acquisition pattern of leg area can find and propose according to Leonardo da Vinci
Body paint rule, to determine leg area.Such as: the ratio of standardized human body is that head is the 1/8 of height, and shoulder breadth is the 1/ of height
4, using navel as boundary, upper lower part of the body ratio is 5:8, meets " golden section " law.
Optionally, in the present embodiment, use head width for standard come judge leg be it is wide, it is flat based on leg
The parameter that equal width uses is different, can carry out adjustment slightly, such as: both legs mean breadth is used, then head width can be with
Multiplied by 2 again plus multiplied by one be more than or equal to 1 coefficient, according to be that head then can be directly used in single leg mean breadth
Width.It is specific as follows: above-mentioned amending unit 804, for determining that above-mentioned leg mean breadth is greater than above-mentioned head width, it is determined that
Above-mentioned leg mean breadth is wide, and above-mentioned leg mean breadth is the mean breadth of single leg.
Optionally, it please refers to shown in Fig. 2, positive standing portrait example, the present embodiment still further provides specifically
Calculation, it is as follows: above-mentioned amending unit 804, if for above-mentioned original portrait picture be positive standing portrait picture,
The central point for remembering face is (fx,fy), the width of face and long (wf,hf)；
Remember that the parameter of leg area is as follows:
Leg area is offline are as follows: hby=yf-7.5*hf；
Leg area is online are as follows: hty=hby+4hf；
The center line of leg area are as follows: hcy=2*hty/3；
The width of leg area are as follows: wc=2*w；
The edge detection that vertical direction is carried out to above-mentioned leg area, extracts longest edge as leg profile, thus
Calculate leg mean breadth.
Optionally, the embodiment of the present invention still further provides modified specific implementation, as follows:
Above-mentioned amending unit 804, as follows for calculating smoothing formula:Wherein
(r) be pixel Yu above-mentioned central point horizontal distance, d is the width on head；
To each pixel (x, y) in leg area, if above-mentioned pixel (x, y) and point leg central point (xf, hcy)
Distance be r；
If its leg central point (xf, hcy) is less than 2d, and then takes [x, hcy-f on the left side leg central point (xf, hcy)
(r)] pixel around after the bilinearity difference of four points is the pixel value of the pixel；
If its leg central point (xf, hcy) is less than 2d, and then takes [x, hcy+f on the right of leg central point (xf, hcy)
(r)] pixel around after the bilinearity difference of four points is the pixel value of the pixel.
Further, since mobile pixel may cause, image is unbalanced, and in order to eliminate the effects of the act, the embodiment of the present invention is also
It is as follows to provide solution: as shown in figure 9, above-mentioned facial image processing device further include:
Equilibrium treatment unit 901, for carrying out histogram equalization to the revised portrait picture of above-mentioned amending unit 804
Processing.
The embodiment of the invention also provides another facial image processing devices, as shown in Figure 10, comprising:
Receiver 1001, transmitter 1002, processor 1003, memory 1004 and display 1005；Memory 1004
It can be used for storing picture and processor 1003 carry out required caching in data handling procedure；
Wherein, above-mentioned processor 1003 shows above-mentioned original portrait figure in user interface for obtaining original portrait picture
Piece；Face datection is carried out to above-mentioned original portrait picture, determines the head width and leg mean breadth of head zone；With
Above-mentioned head width is that standard determines that above-mentioned leg mean breadth is wide, then is modified to above-mentioned leg area, keeps leg flat
Equal width narrows；Revised portrait picture is shown in above-mentioned user interface.
Original portrait picture, is for the portrait picture after subsequent correction, this is original in the embodiment of the present invention
Whether influence, therefore the embodiment of the present invention is simultaneously if being modified that the realization of the embodiment of the present invention can't be constituted before portrait picture
It is indifferent to whether original portrait picture was once modified.Original portrait picture can be local from equipment, is also possible to lead to
It crosses and takes pictures or receive what external incoming mode obtained, concrete form is different according to the difference of application scenarios.
Face datection in the present embodiment, can be based on existing face recognition technology, and the present embodiment does not make into one this
Step repeats.Head zone is head region shared in picture, which has this parameter of width, in the present embodiment leg
Portion's mean breadth may each be single leg mean breadth, be also possible to both legs mean breadth, not need uniqueness restriction.
The embodiment of the present invention obtains head and the leg mean breadth of portrait picture by the way of Face datection, according to
Determine whether leg mean breadth wide according to head width, in the case that in leg, mean breadth is wide to leg area into
Row amendment does not need user's manual operation, easy to be easy-to-use.
As follows the embodiment of the invention also provides the specific calculation of leg mean breadth: above-mentioned processor 1003 is used
Include: in the head width and leg mean breadth for determining head zone
Determine the width and height of position and head of the head in above-mentioned original portrait picture；
Leg area is calculated with face location and face height, calculates the leg mean breadth of above-mentioned leg area.
It present embodiments provides and calculates leg area based on face height, again with leg after leg area is calculated
Mean breadth calculating in leg is carried out based on portion region.What the acquisition pattern of leg area can find and propose according to Leonardo da Vinci
Body paint rule, to determine leg area.Such as: the ratio of standardized human body is that head is the 1/8 of height, and shoulder breadth is the 1/ of height
4, using navel as boundary, upper lower part of the body ratio is 5:8, meets " golden section " law.
It please refers to shown in Fig. 2, positive standing portrait example, the present embodiment still further provides more detailed calculating side
Formula is as follows: if above-mentioned original portrait picture is positive standing portrait picture, above-mentioned processor 1003, for determining that head exists
The width and height of position and head in above-mentioned original portrait picture；Leg zone is calculated with face location and face height
Domain, the leg mean breadth for calculating above-mentioned leg area include:
The central point for remembering face is (fx,fy), the width of face and long (wf,hf)；
Remember that the parameter of leg area is as follows:
Leg area is offline are as follows: hby=yf-7.5*hf；
Leg area is online are as follows: hty=hby+4hf；
The center line of leg area are as follows: hcy=2*hty/3；
The width of leg area are as follows: wc=2*w；
The edge detection that vertical direction is carried out to above-mentioned leg area, extracts longest edge as leg profile, thus
Calculate leg mean breadth.
In the present embodiment, use head width for standard come judge leg be it is wide, be based on leg mean breadth
The parameter of use is different, can carry out adjustment slightly, such as: both legs mean breadth is used, then head width can be multiplied by 2 again
Add or multiplied by one be more than or equal to 1 coefficient, according to be that head width then can be directly used in single leg mean breadth.Tool
Body is as follows: above-mentioned processor 1003, includes: for determining that above-mentioned leg mean breadth is wide as standard using above-mentioned head width
Determine that above-mentioned leg mean breadth is greater than above-mentioned head width, it is determined that above-mentioned leg mean breadth is wide, above-mentioned
Leg mean breadth is the mean breadth of single leg.
The embodiment of the present invention still further provides modified specific implementation, as follows: above-mentioned processor 1003 is used for
Above-mentioned leg area is modified, makes leg mean breadth narrow to include:
It is as follows to calculate smoothing formula:Wherein (r) is pixel and above-mentioned center
The horizontal distance of point, d is the width on head；
To each pixel (x, y) in leg area, if above-mentioned pixel (x, y) and point leg central point (xf, hcy)
Distance be r；
If its leg central point (xf, hcy) is less than 2d, and then takes [x, hcy-f on the left side leg central point (xf, hcy)
(r)] pixel around after the bilinearity difference of four points is the pixel value of the pixel；
If its leg central point (xf, hcy) is less than 2d, and then takes [x, hcy+f on the right of leg central point (xf, hcy)
(r)] pixel around after the bilinearity difference of four points is the pixel value of the pixel.
Since mobile pixel may cause, image is unbalanced, and in order to eliminate the effects of the act, the embodiment of the invention also provides solutions
Certainly scheme is as follows: above-mentioned processor 1003, is also used to carry out histogram equalization processing to revised portrait picture.
The embodiment of the invention also provides another facial image processing devices, as shown in figure 11, for ease of description, only show
Part related to the embodiment of the present invention, it is disclosed by specific technical details, please refer to present invention method part.It should
Device by taking terminal as an example, terminal can be include mobile phone, tablet computer, PDA (Personal Digital Assistant, it is a
Personal digital assistant), POS (Point of Sales, point-of-sale terminal), any terminal device such as vehicle-mounted computer, using terminal as mobile phone
For:
Figure 11 shows the block diagram of the part-structure of mobile phone relevant to terminal provided in an embodiment of the present invention.With reference to figure
11, mobile phone includes: radio frequency (Radio Frequency, RF) circuit 1110, memory 1120, input unit 1130, display unit
1140, sensor 1150, voicefrequency circuit 1160, Wireless Fidelity (wireless fidelity, WiFi) module 1170, processor
The components such as 1180 and power supply 1190.It will be understood by those skilled in the art that handset structure shown in Figure 11 is not constituted pair
The restriction of mobile phone may include perhaps combining certain components or different component cloth than illustrating more or fewer components
It sets.
It is specifically introduced below with reference to each component parts of the Figure 11 to mobile phone:
RF circuit 1110 can be used for receiving and sending messages or communication process in, signal sends and receivees, particularly, by base station
After downlink information receives, handled to processor 1180；In addition, the data for designing uplink are sent to base station.In general, RF circuit
1110 include but is not limited to antenna, at least one amplifier, transceiver, coupler, low-noise amplifier (Low Noise
Amplifier, LNA), duplexer etc..In addition, RF circuit 1110 can also be logical with network and other equipment by wireless communication
Letter.Any communication standard or agreement, including but not limited to global system for mobile communications (Global can be used in above-mentioned wireless communication
System of Mobile communication, GSM), general packet radio service (General Packet Radio
Service, GPRS), CDMA (Code Division Multiple Access, CDMA), wideband code division multiple access
(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 for storing software program and module, and processor 1180 is stored in memory by operation
1120 software program and module, thereby executing the various function application and data processing of mobile phone.Memory 1120 can be led
It to include storing program area and storage data area, wherein storing program area can be needed for storage program area, at least one function
Application program (such as sound-playing function, image player function etc.) etc.；Storage data area, which can be stored, uses institute according to mobile phone
Data (such as audio data, phone directory etc.) of creation etc..In addition, memory 1120 may include high random access storage
Device, can also include nonvolatile memory, and a for example, at least disk memory, flush memory device or other volatibility are solid
State memory device.
Input unit 1130 can be used for receiving the number or character information of input, and generate with the user setting of mobile phone with
And the related key signals input of function control.Specifically, input unit 1130 may include touch panel 1131 and other inputs
Equipment 1132.Touch panel 1131, also referred to as touch screen collect touch operation (such as the user of user on it or nearby
Use the behaviour of any suitable object or attachment such as finger, stylus on touch panel 1131 or near touch panel 1131
Make), and corresponding attachment device is driven according to preset formula.Optionally, touch panel 1131 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
It is converted into contact coordinate, then gives processor 1180, and order that processor 1180 is sent can be received and executed.In addition,
Touch panel 1131 can be realized using multiple types such as resistance-type, condenser type, infrared ray and surface acoustic waves.In addition to touch surface
Plate 1131, input unit 1130 can also include other input equipments 1132.Specifically, other input equipments 1132 may include
But in being not limited to physical keyboard, function key (such as volume control button, switch key etc.), trace ball, mouse, operating stick etc.
It is one or more.
Display unit 1140 can be used for showing information input by user or be supplied to user information and mobile phone it is each
Kind menu.Display unit 1140 may include display panel 1141, optionally, can use liquid crystal display (Liquid
Crystal Display, LCD), the forms such as Organic Light Emitting Diode (Organic Light-Emitting Diode, OLED)
To configure display panel 1141.Further, touch panel 1131 can cover display panel 1141, when touch panel 1131 detects
After arriving touch operation on it or nearby, processor 1180 is sent to determine the type of touch event, is followed by subsequent processing device
1180 provide corresponding visual output according to the type of touch event on display panel 1141.Although in Figure 11, touch surface
Plate 1131 and display panel 1141 are the input and input function for realizing mobile phone as two independent components, but certain
In embodiment, can be integrated by touch panel 1131 and display panel 1141 and that realizes mobile phone output and input function.
Mobile phone may also include at least one sensor 1150, such as optical sensor, motion sensor and other sensors.
Specifically, optical sensor may include ambient light sensor and proximity sensor, wherein ambient light sensor can be according to ambient light
Light and shade adjust the brightness of display panel 1141, proximity sensor can close display panel when mobile phone is moved in one's ear
1141 and/or backlight.As a kind of motion sensor, accelerometer sensor can detect in all directions (generally three axis) and add
The size of speed can detect that size and the direction of gravity when static, can be used to identify application (such as the horizontal/vertical screen of mobile phone posture
Switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap) etc.；Also as mobile phone
The other sensors such as configurable gyroscope, barometer, hygrometer, thermometer, infrared sensor, details are not described herein.
Voicefrequency circuit 1160, loudspeaker 1161, microphone 1162 can provide the audio interface between user and mobile phone.Audio
Electric signal after the audio data received conversion can be transferred to loudspeaker 1161, be converted by loudspeaker 1161 by circuit 1160
For voice signal output；On the other hand, the voice signal of collection is converted to electric signal by microphone 1162, by voicefrequency circuit 1160
Audio data is converted to after reception, then by after the processing of audio data output processor 1180, through RF circuit 1110 to be sent to ratio
Such as another mobile phone, or audio data is exported to memory 1120 to be further processed.
WiFi belongs to short range wireless transmission technology, and mobile phone can help user's transceiver electronics postal by WiFi module 1170
Part, browsing webpage and access streaming video etc., it provides wireless broadband internet access for user.Although Figure 11 is shown
WiFi module 1170, but it is understood that, and it is not belonging to must be configured into for mobile phone, it can according to need do not changing completely
Become in the range of the essence of invention and omits.
Processor 1180 is the control centre of mobile phone, using the various pieces of various interfaces and connection whole mobile phone,
By running or execute the software program and/or module that are stored in memory 1120, and calls and be stored in memory 1120
Interior data execute the various functions and processing data of mobile phone, to carry out integral monitoring to mobile phone.Optionally, processor
1180 may include one or more processing units；Preferably, processor 1180 can integrate application processor and modulation /demodulation processing
Device, wherein the main processing operation system of application processor, user interface and application program etc., modem processor is mainly located
Reason wireless communication.It is understood that above-mentioned modem processor can not also be integrated into processor 1180.
Mobile phone further includes the power supply 1190 (such as battery) powered to all parts, it is preferred that power supply can pass through power supply
Management system and processor 1180 are logically contiguous, to realize management charging, electric discharge and power consumption pipe by power-supply management system
The functions such as reason.
Although being not shown, mobile phone can also include camera, bluetooth module etc., and details are not described herein.
In embodiments of the present invention, processor 1180 included by the terminal also has the function of executing method flow；With
Upper method flow execution can be based on the hardware configuration of the above mobile phone.
It is worth noting that, included each unit is only patrolled according to function in above-mentioned facial image processing Installation practice
It volume is divided, but is not limited to the above division, as long as corresponding functions can be realized；In addition, each function list
The specific name of member is also only for convenience of distinguishing each other, the protection scope being not intended to restrict the invention.
In addition, those of ordinary skill in the art will appreciate that realizing all or part of the steps in above-mentioned each method embodiment
It is that relevant hardware can be instructed to complete by program, corresponding program can store in a kind of computer readable storage medium
In, storage medium mentioned above can be read-only memory, disk or CD etc..
The above is only the preferable specific embodiments of the present invention, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art the variation that can readily occur in or replaces in the technical scope that the embodiment of the present invention discloses
It changes, should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with the protection model of claim
Subject to enclosing.
Claims (11)
1. a kind of facial image processing method characterized by comprising
Original portrait picture is obtained, shows the original portrait picture in user interface；
Face datection is carried out to the original portrait picture, determines the head width of head zone, and according to Leonardo da Vinci's human body
Drawing rule is determined leg area and is calculated leg mean breadth based on the leg area；
It determines that the leg mean breadth is greater than head width using the head width as standard, then the leg area is carried out
Amendment, makes leg mean breadth narrow；Revised portrait picture is shown in the user interface；The leg mean breadth is
The mean breadth of single leg；
Wherein, described that the leg area is modified, make leg mean breadth narrow to include:
To each pixel (x, y) in leg area, if the distance of the pixel (x, y) and leg central point (xf, hcy)
For r；
If the distance between the pixel (x, y) and the leg central point (xf, hcy) are less than 2d, and at leg center
It is the pixel of the pixel that the left side point (xf, hcy), which then takes the pixel around [x, hcy-f (r)] after the bilinearity difference of four points,
Value；
If the distance between the pixel (x, y) and the leg central point (xf, hcy) are less than 2d, and at leg center
It is the pixel of the pixel that the pixel around [x, hcy+f (r)] after the bilinearity difference of four points is then taken on the right of point (xf, hcy)
Value；
Wherein, hcy is the center line of leg area, is calculated based on face location and face height；F (r) is based on circumference
Rate, pixel and the horizontal distance of the leg central point and the width on head are calculated；D is the width on head.
2. method according to claim 1, which is characterized in that the head width of the determining head zone and leg are flat
Equal width includes:
Determine the width and height of position and head of the head in the original portrait picture；
Leg area is calculated with face location and face height, calculates the leg mean breadth of the leg area.
3. method according to claim 2, which is characterized in that the original portrait picture is positive standing portrait picture,
The width and height of position and head of the determining head in the original portrait picture；With face location and face
Height calculates leg area, and the leg mean breadth for calculating the leg area includes:
The central point for remembering face is (fx,fy), the width on head is wf, the height on head is hf；
Remember that the parameter of leg area is as follows:
Leg area is offline are as follows: hby=yf-7.5*hf；
Leg area is online are as follows: hty=hby+4hf；
The center line of leg area are as follows: hcy=2*hty/3；
The width of leg area are as follows: wc=2*wf；
Yf is face center height；
The edge detection that vertical direction is carried out to above-mentioned leg area, extracts longest edge as leg profile, to calculate
Leg mean breadth.
4. method according to claim 3, which is characterized in that the f (r) is based on pi, pixel and the central point
Horizontal distance and the width on head be calculated and include:
It is as follows to calculate smoothing formula:
5. method according to claim 4, which is characterized in that the method also includes:
Histogram equalization processing is carried out to revised portrait picture.
6. a kind of facial image processing device characterized by comprising
Picture acquiring unit, for obtaining original portrait picture；
Display control unit, for showing the original portrait picture in user interface；
Detection unit determines the head width of head zone, and press for carrying out Face datection to the original portrait picture
Leg area is determined according to Leonardo da Vinci's body paint rule and leg mean breadth is calculated based on the leg area；
Amending unit, for determining that the leg mean breadth is greater than head width using the head width as standard, then to institute
It states leg area to be modified, leg mean breadth is made to narrow；The leg mean breadth is the mean breadth of single leg；
The display control unit is also used to show revised portrait picture in the user interface；
Wherein, the amending unit includes:
To each pixel (x, y) in leg area, if the distance of the pixel (x, y) and leg central point (xf, hcy)
For r；If the distance between the pixel (x, y) and the leg central point (xf, hcy) are less than 2d, and at leg center
It is the pixel of the pixel that the left side point (xf, hcy), which then takes the pixel around [x, hcy-f (r)] after the bilinearity difference of four points,
Value；If the distance between the pixel (x, y) and the leg central point (xf, hcy) are less than 2d, and in leg central point
It is the pixel value of the pixel that the pixel around [x, hcy+f (r)] after the bilinearity difference of four points is then taken on the right of (xf, hcy)；
Wherein, hcy is the center line of leg area, is calculated based on face location and face height；F (r) be based on pi, as
Vegetarian refreshments is calculated with the horizontal distance of the leg central point and the width on head；D is the width on head.
7. facial image processing device according to claim 6, which is characterized in that
The detection unit, for determining the width and height of position and head of the head in the original portrait picture；
Leg area is calculated with face location and face height, calculates the leg mean breadth of the leg area.
8. facial image processing device according to claim 7, which is characterized in that
The amending unit remembers the central point of face if being positive standing portrait picture for the original portrait picture
For (fx,fy), the width on head is wf, the height on head is hf；
Remember that the parameter of leg area is as follows:
Leg area is offline are as follows: hby=yf-7.5*hf；
Leg area is online are as follows: hty=hby+4hf；
The center line of leg area are as follows: hcy=2*hty/3；
The width of leg area are as follows: wc=2*wf；
Yf is face center height；
The edge detection that vertical direction is carried out to above-mentioned leg area, extracts longest edge as leg profile, to calculate
Leg mean breadth.
9. facial image processing device according to claim 8, which is characterized in that
The f (r) is calculated based on pi, pixel and the horizontal distance of the central point and the width on head, packet
It includes: it is as follows to calculate smoothing formula:
10. facial image processing device according to claim 9, which is characterized in that the facial image processing device further include:
Equilibrium treatment unit, for carrying out histogram equalization processing to the revised portrait picture of the amending unit.
11. a kind of storage medium, which is characterized in that be stored with computer program, the computer program in the storage medium
A kind of described in any item facial image processing methods of 1-5 are required for perform claim.
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| CN108830783B (en) * | 2018-05-31 | 2021-07-02 | 北京市商汤科技开发有限公司 | Image processing method and device and computer 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 |
| 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 |
| 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 |
| 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 |
| 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 |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06195431A (en) * | 1992-12-25 | 1994-07-15 | Casio Comput Co Ltd | Montage preparation device |
| 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 |
| 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 |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020065452A1 (en) * | 2000-11-29 | 2002-05-30 | Roland Bazin | Process for diagnosing conditions of external body portions and features of products applied thereto |
| JP5166102B2 (en) * | 2008-04-22 | 2013-03-21 | 株式会社東芝 | Image processing apparatus and method |
| JP5849558B2 (en) * | 2011-09-15 | 2016-01-27 | オムロン株式会社 | Image processing apparatus, image processing method, control program, and recording medium |
-
2015
- 2015-09-23 CN CN201510612934.5A patent/CN106558039B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06195431A (en) * | 1992-12-25 | 1994-07-15 | Casio Comput Co Ltd | Montage preparation device |
| 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 |
| 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 |
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