CN110349079A - A kind of method for correcting image and its system based on user's habit and big data - Google Patents
A kind of method for correcting image and its system based on user's habit and big data Download PDFInfo
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- CN110349079A CN110349079A CN201910482556.1A CN201910482556A CN110349079A CN 110349079 A CN110349079 A CN 110349079A CN 201910482556 A CN201910482556 A CN 201910482556A CN 110349079 A CN110349079 A CN 110349079A
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- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000001815 facial effect Effects 0.000 claims abstract description 44
- 238000000605 extraction Methods 0.000 claims abstract description 21
- 230000011218 segmentation Effects 0.000 claims abstract description 13
- 239000000284 extract Substances 0.000 claims abstract description 3
- 238000004088 simulation Methods 0.000 claims description 3
- 241000208340 Araliaceae Species 0.000 description 2
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 2
- 235000003140 Panax quinquefolius Nutrition 0.000 description 2
- 235000008434 ginseng Nutrition 0.000 description 2
- 238000003702 image correction Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 239000003086 colorant Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002715 modification method Methods 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
Classifications
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- G06T3/04—
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/50—Lighting effects
- G06T15/60—Shadow generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
-
- 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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
- G06T2207/30201—Face
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The present invention relates to a kind of method for correcting image and its system based on user's habit and big data, comprising the following steps: obtain the image to be modified of submission, extract the facial characteristics in image；Region segmentation is carried out to the facial characteristics of extraction, facial characteristics is at least divided into four characteristic areas by the region segmentation；Face matching is carried out to image according to characteristic area, facial image is obtained and works as the most matched user of first four characteristic area；The prestored presentation corrected parameter of the user is extracted, the image corrected parameter includes: characteristic area adjustment data；The characteristic area adjusting parameter includes user's upload parameter；Three-dimensional modeling is carried out to characteristic area respectively and generates modeling image；Data are adjusted according to characteristic area, and data correction is carried out to the characteristic area of modeling image；The revised characteristic area of integral data, and according to the posture of the pose adjustment of image to be modified modeling image, and intercept bidimensional image and generate amendment image.
Description
Technical field
The present invention relates to image correction field, in particular to a kind of method for correcting image based on user's habit and big data
And its system.
Background technique
With growing individual demand, people are increasingly not content with simple filter to the amendment of picture, such as
Colour switching filter etc., people start pursue it is more fresh and alive, have style advanced filter and more with personal style figure
Piece amendment.
Existing image correction algorithm can refer to the style of the image of control, treats modified image and carries out corresponding style
Amendment.But can not be accustomed to being modified according to the amendment of user, user can not be realized to be modified by reference to image
The manual correction effect of image.And the prior art can not according to the history of user correct image, obtain can refer to it is interior
Hold, and image to be modified is modified accordingly.
Summary of the invention
Goal of the invention:
The technical issues of for involved in background technique, the present invention provide a kind of image based on user's habit and big data
Modification method and its system.
Technical solution:
A kind of method for correcting image based on user's habit and big data, comprising the following steps:
The image to be modified submitted is obtained, the facial characteristics in image is extracted；
Region segmentation is carried out to the facial characteristics of extraction, facial characteristics is at least divided into four features by the region segmentation
Region；
According to characteristic area to image carry out face matching, obtain facial image with work as first four characteristic area it is most matched
User；
The prestored presentation corrected parameter of the user is extracted, the image corrected parameter includes: characteristic area adjustment data；Institute
Stating characteristic area adjusting parameter includes user's upload parameter；
Three-dimensional modeling is carried out to characteristic area respectively and generates modeling image；Data are adjusted to modeling image according to characteristic area
Characteristic area carry out data correction；
The revised characteristic area of integral data, and according to the posture of the pose adjustment of image to be modified modeling image, and
It intercepts bidimensional image and generates amendment image.
As a kind of preferred embodiment of the invention, comprising the following steps:
The image corrected parameter further include: genre parameters, the genre parameters include the restriction to image style；
The amendment image in the user preset time is obtained, and obtains toning data；
Toning data is classified according to toning type, the parameter utilization rate of toning type is obtained, will acquire utilization rate
Highest toning type is simultaneously stored as genre parameters；
Amendment image is modified according to genre parameters.
As a kind of preferred embodiment of the invention, comprising the following steps:
The image corrected parameter includes: light parameter, and the light parameter includes the restriction to image light；
The amendment image in the user preset time is obtained, and obtains facial light data；
The highest facial light data of subscriber usage in facial light data are obtained, light parameter is stored as.
As a kind of preferred embodiment of the invention, comprising the following steps:
Light parameter is obtained, revised modeling image is transferred；
The simulation of light parameter is provided according to modeling image；
The posture of image is modeled according to the pose adjustment of image to be modified, and is intercepted bidimensional image and generated amendment image.
As a kind of preferred embodiment of the invention, comprising the following steps:
The image corrected parameter further include: colour of skin data, the colour of skin data include the practical colour of skin of user；
The amendment image in the user preset time is obtained, and obtains the region skin for obtaining amendment image by default correcting region
Color；
The colour of skin data for obtaining the corresponding default correcting region in colour of skin data, default amendment corresponding to amendment image
Region carries out colour of skin amendment.
A kind of system of the method for correcting image based on user's habit and big data, comprising the following steps:
Extraction of Image module, for the Extraction of Image to be modified facial characteristics therein according to submission；
Characteristic area extraction module, for carrying out characteristic area extraction according to the facial characteristics of extraction；
Parameter memory module, is used for prestored presentation corrected parameter, and the image corrected parameter includes: characteristic area adjustment ginseng
Number；
Modeling module generates modeling image for carrying out three-dimensional modeling to characteristic area；
Characteristic area adjusts module, is repaired for adjusting data according to the modeling image and characteristic area of characteristic area
Just；
Module is integrated, for integrating to the revised characteristic area of data；
Interception module, for modeling the posture of image according to the pose adjustment of image to be modified, interception bidimensional image is generated
Correct image.
As a kind of preferred embodiment of the invention, comprising the following steps:
Parameter memory module is used for prestored presentation corrected parameter, and the image corrected parameter includes: genre parameters；
Style adjusts module, for carrying out genre parameters amendment to amendment image according to toning data.
As a kind of preferred embodiment of the invention, comprising the following steps:
Parameter memory module is used for prestored presentation corrected parameter, and the image corrected parameter includes: genre parameters；
Light adjusts module, for being modified to amendment image to light according to light parameter.
As a kind of preferred embodiment of the invention, comprising the following steps:
Parameter memory module is used for prestored presentation corrected parameter, and the image corrected parameter includes: colour of skin parameter；
The colour of skin obtains module, for obtaining user in the amendment image of preset time, and obtains in default correcting region
The region colour of skin is as colour of skin parameter；
The colour of skin adjusts module, for carrying out colour of skin amendment according to default correcting region of the colour of skin parameter to amendment image.
The present invention realize it is following the utility model has the advantages that
1. image to be modified is carried out region segmentation by the segmentation by extraction and characteristic area to face in image；Root
According to preset region adjusting parameter is used for, modeling and data correction are carried out to the characteristic area after region segmentation, reduce two dimension
The lofty sense of data correction bring.
2. carrying out genre parameters, light parameter, colour of skin parameter to amendment image according to user's habit and big data to repair
Just, the amendment habit and common style of user are complied with.
3. being adjusted by the light to three-dimensional modeling, performance when improving light adjustment to facial shade improves portrait
Three-dimensional sense.By the adjustment of the colour of skin, influence of the ambient color to personage's colour of skin in image is reduced, the distortion of portrait is avoided.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the disclosure
Example, and consistent with the instructions for explaining the principles of this disclosure.
Fig. 1 is a kind of flow chart of method for correcting image based on user's habit and big data provided by the invention；
Fig. 2 is that a kind of style of method for correcting image based on user's habit and big data provided by the invention corrects process
Figure；
Fig. 3 is a kind of light data correction of method for correcting image based on user's habit and big data provided by the invention
Flow chart；
Fig. 4 is that a kind of colour of skin of method for correcting image based on user's habit and big data provided by the invention corrects process
Figure.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
Embodiment one
With reference to Fig. 1-4.
A kind of method for correcting image based on user's habit and big data, comprising the following steps:
S1: obtaining the image to be modified of submission, extracts the facial characteristics in image.
User submits image to be modified to system, and image includes picture and film.System is according to recognition of face system
Face in system identification image, and identification acquisition is carried out to facial image.
S2: region segmentation is carried out to the facial characteristics of extraction, facial characteristics is at least divided into four by the region segmentation
Characteristic area.
The facial image of face is obtained, and region division is carried out according to facial image.Characteristic area can be preset segmentation
Region, characteristic area is that facial image is divided into four characteristic areas from top to bottom, or by facial image according to four-quadrant
It is divided into four characteristic areas.
S3: carrying out face matching to image according to characteristic area, obtain facial image with when first four characteristic area most
The user matched.
According to the feature extraction that the characteristic area after segmentation is distinguished, identifiable feature is obtained, pedestrian's face of going forward side by side
Match.User is identified according to characteristic area, the accuracy for improving identification is identified by partition characteristics, to different characteristic areas
Domain is matched respectively.
S4: extracting the prestored presentation corrected parameter of the user, and the image corrected parameter includes: characteristic area adjustment number
According to.
The characteristic area adjusting parameter includes user's upload parameter.
User uploads prestored presentation corrected parameter to system, and image corrected parameter may include modification of the user to facial characteristics
Parameter.Specifically, may include adjusting parameter, the adjusting parameter to face ratio, the adjusting parameter to limbs to facial degree of enclosing
Deng.
S5: three-dimensional modeling is carried out to characteristic area respectively and generates modeling image.Data are adjusted to modeling according to characteristic area
The characteristic area of image carries out data correction.
What it is to the facial degree of enclosing of characteristic area progress is three-dimensional modeling, convenient for that can be adjusted to facial characteristics.According to pre-
It deposits image corrected parameter and obtains the adjustment data of corresponding characteristic area, to be modified adjustment to characteristic area.
S6: the revised characteristic area of integral data, and according to the pose adjustment of image to be modified model image posture,
And it intercepts bidimensional image and generates amendment image.
Revised modeling image is integrated, the modeling of characteristic area is integrated into the modeling of facial characteristics.It will add
Modeling image is adjusted to the initial position of image, and to interception bidimensional image.
Embodiment two
The present embodiment and above-described embodiment one are essentially identical, the difference is that a kind of preferred side as the present embodiment
Formula, comprising the following steps:
The image corrected parameter further include: genre parameters, the genre parameters include the restriction to image style.
The amendment image in the user preset time is obtained, and obtains toning data.
Toning data is classified according to toning type, the parameter utilization rate of toning type is obtained, will acquire utilization rate
Highest toning type is simultaneously stored as genre parameters.
Amendment image is modified according to genre parameters.
Type of mixing colours may include filter, specifically, can include: the common images such as exposure value, acutance, lightness, filter, noise
Correct content.
Preset time may be configured as one month to one week, obtain the amendment image of user in preset time to obtain user
Most common genre parameters.
Amendment image may include the image of automatic modified image and manual correction, and system grabs user is within a preset time
The amendment image of generation, and the genre parameters of amendment image are grabbed.Specifically, system obtains the highest tune of frequency of use
Color type and corresponding adjustment data, to get genre parameters.Style is carried out to amendment image according to genre parameters to repair
Just.
A kind of preferred embodiment as the present embodiment, comprising the following steps:
The image corrected parameter includes: light parameter, and the light parameter includes the restriction to image light.
The amendment image in the user preset time is obtained, and obtains facial light data.
The highest facial light data of subscriber usage in facial light data are obtained, light parameter is stored as.Shadow
As the restriction of light includes the light source position in image.Preset time may be configured as one month to one week, obtain in preset time
The amendment image of user is to obtain the most common facial light data of user.
Obtain the highest light source position of utilization rate, set it to light parameter, according to light parameter to amendment image into
The corresponding amendment of row.
A kind of preferred embodiment as the present embodiment, comprising the following steps:
Light parameter is obtained, revised modeling image is transferred.
The simulation of light parameter is provided according to modeling image.
The posture of image is modeled according to the pose adjustment of image to be modified, and is intercepted bidimensional image and generated amendment image.
Three-dimensional light source analogy is carried out according to modeling, and the influence under the light conditions is obtained, and reduces light
Influence of the data correction to user image.
A kind of preferred embodiment as the present embodiment, comprising the following steps:
The image corrected parameter further include: colour of skin data, the colour of skin data include the practical colour of skin of user.
The amendment image in the user preset time is obtained, and obtains the region skin for obtaining amendment image by default correcting region
Color.
The colour of skin data for obtaining the corresponding default correcting region in colour of skin data, default amendment corresponding to amendment image
Region carries out colour of skin amendment.
Preset time may be configured as one month to one week, obtain the amendment image of user in preset time to obtain user
Colour of skin data.Specifically, obtaining the facial area colour of skin of user according to the provincial characteristics of user's face.According to the region colour of skin pair
The adjusting that image carries out the colour of skin is corrected, influence of the ambient color to the colour of skin is reduced.
Embodiment three
The present embodiment is the corresponding system embodiment of above-described embodiment, specifically includes the following contents:
A kind of system of the method for correcting image based on user's habit and big data, comprising the following steps:
Extraction of Image module, for the Extraction of Image to be modified facial characteristics therein according to submission.
Characteristic area extraction module, for carrying out characteristic area extraction according to the facial characteristics of extraction.
Parameter memory module, is used for prestored presentation corrected parameter, and the image corrected parameter includes: characteristic area adjustment ginseng
Number.
Modeling module generates modeling image for carrying out three-dimensional modeling to characteristic area.
Characteristic area adjusts module, is repaired for adjusting data according to the modeling image and characteristic area of characteristic area
Just.
Module is integrated, for integrating to the revised characteristic area of data.
Interception module, for modeling the posture of image according to the pose adjustment of image to be modified, interception bidimensional image is generated
Correct image.
A kind of preferred embodiment as the present embodiment, comprising the following steps:
Parameter memory module is used for prestored presentation corrected parameter, and the image corrected parameter includes: genre parameters.
Style adjusts module, for carrying out genre parameters amendment to amendment image according to toning data.
A kind of preferred embodiment as the present embodiment, comprising the following steps:
Parameter memory module is used for prestored presentation corrected parameter, and the image corrected parameter includes: genre parameters.
Light adjusts module, for being modified to amendment image to light according to light parameter.
A kind of preferred embodiment as the present embodiment, comprising the following steps:
Parameter memory module is used for prestored presentation corrected parameter, and the image corrected parameter includes: colour of skin parameter.
The colour of skin obtains module, for obtaining user in the amendment image of preset time, and obtains in default correcting region
The region colour of skin is as colour of skin parameter.
The colour of skin adjusts module, for carrying out colour of skin amendment according to default correcting region of the colour of skin parameter to amendment image.On
State embodiment only technical concepts and features to illustrate the invention, the purpose is to allow be familiar with the those skilled in the art can
Understand the contents of the present invention simultaneously accordingly to implement, can not be limited the scope of the invention with this.It is all spiritual according to the present invention
Equivalent changes or modifications made by essence, should be covered by the protection scope of the present invention.
Claims (9)
1. a kind of method for correcting image based on user's habit and big data, which comprises the following steps: obtain and submit
Image to be modified, extract image in facial characteristics；
Region segmentation is carried out to the facial characteristics of extraction, facial characteristics is at least divided into four characteristic areas by the region segmentation
Domain；
Face matching is carried out to image according to characteristic area, facial image is obtained and works as the most matched use of first four characteristic area
Family；
The prestored presentation corrected parameter of the user is extracted, the image corrected parameter includes: characteristic area adjustment data；
The characteristic area adjusting parameter includes user's upload parameter；
Three-dimensional modeling is carried out to characteristic area respectively and generates modeling image；Data are adjusted to the spy of modeling image according to characteristic area
It levies region and carries out data correction；
The revised characteristic area of integral data, and according to the posture of the pose adjustment of image to be modified modeling image, and intercept
Bidimensional image generates amendment image.
2. a kind of method for correcting image based on user's habit and big data according to claim 1, which is characterized in that packet
Include following steps:
The image corrected parameter further include: genre parameters, the genre parameters include the restriction to image style；
The amendment image in the user preset time is obtained, and obtains toning data；
Toning data is classified according to toning type, the parameter utilization rate of toning type is obtained, will acquire utilization rate highest
Toning type and be stored as genre parameters；
Amendment image is modified according to genre parameters.
3. a kind of method for correcting image based on user's habit and big data according to claim 1, which is characterized in that packet
Include following steps:
The image corrected parameter includes: light parameter, and the light parameter includes the restriction to image light；
The amendment image in the user preset time is obtained, and obtains facial light data；
The highest facial light data of subscriber usage in facial light data are obtained, light parameter is stored as.
4. a kind of method for correcting image based on user's habit and big data according to claim 3, which is characterized in that packet
Include following steps:
Light parameter is obtained, revised modeling image is transferred；
The simulation of light parameter is provided according to modeling image；
The posture of image is modeled according to the pose adjustment of image to be modified, and is intercepted bidimensional image and generated amendment image.
5. a kind of method for correcting image based on user's habit and big data according to claim 1, which is characterized in that packet
Include following steps:
The image corrected parameter further include: colour of skin data, the colour of skin data include the practical colour of skin of user；
The amendment image in the user preset time is obtained, and obtains the region colour of skin for obtaining amendment image by default correcting region；
The colour of skin data for obtaining the corresponding default correcting region in colour of skin data, default correcting region corresponding to amendment image
Carry out colour of skin amendment.
6. a kind of method for correcting image based on user's habit and big data according to claim 1-5 is
System, which comprises the following steps:
Extraction of Image module, for the Extraction of Image to be modified facial characteristics therein according to submission；
Characteristic area extraction module, for carrying out characteristic area extraction according to the facial characteristics of extraction；
Parameter memory module is used for prestored presentation corrected parameter, and the image corrected parameter includes: characteristic area adjusting parameter；
Modeling module generates modeling image for carrying out three-dimensional modeling to characteristic area；
Characteristic area adjusts module, is modified for adjusting data according to the modeling image and characteristic area of characteristic area；
Module is integrated, for integrating to the revised characteristic area of data；
Interception module, for modeling the posture of image according to the pose adjustment of image to be modified, interception bidimensional image generates amendment
Image.
7. a kind of system of method for correcting image based on user's habit and big data according to claim 6, feature
It is, comprising the following steps:
Parameter memory module is used for prestored presentation corrected parameter, and the image corrected parameter includes: genre parameters；
Style adjusts module, for carrying out genre parameters amendment to amendment image according to toning data.
8. a kind of system of method for correcting image based on user's habit and big data according to claim 6, feature
It is, comprising the following steps:
Parameter memory module is used for prestored presentation corrected parameter, and the image corrected parameter includes: genre parameters；
Light adjusts module, for being modified to amendment image to light according to light parameter.
9. a kind of system of method for correcting image based on user's habit and big data according to claim 6, feature
It is, comprising the following steps:
Parameter memory module is used for prestored presentation corrected parameter, and the image corrected parameter includes: colour of skin parameter；
The colour of skin obtains module, for obtaining user in the amendment image of preset time, and obtains the region in default correcting region
The colour of skin is as colour of skin parameter；
The colour of skin adjusts module, for carrying out colour of skin amendment according to default correcting region of the colour of skin parameter to amendment image.
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