CN109376624A - A kind of modification method and device of eye closing photo - Google Patents
A kind of modification method and device of eye closing photo Download PDFInfo
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- CN109376624A CN109376624A CN201811171136.3A CN201811171136A CN109376624A CN 109376624 A CN109376624 A CN 109376624A CN 201811171136 A CN201811171136 A CN 201811171136A CN 109376624 A CN109376624 A CN 109376624A
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- 238000002715 modification method Methods 0.000 title claims abstract description 14
- 238000012360 testing method Methods 0.000 claims abstract description 6
- 238000000034 method Methods 0.000 claims description 22
- 238000001514 detection method Methods 0.000 claims description 19
- 238000012937 correction Methods 0.000 claims description 11
- 238000005286 illumination Methods 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 8
- 230000001815 facial effect Effects 0.000 claims description 5
- 238000012549 training Methods 0.000 claims description 5
- 241001300078 Vitrea Species 0.000 claims description 3
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 238000013527 convolutional neural network Methods 0.000 claims description 3
- 210000003128 head Anatomy 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 16
- 238000012706 support-vector machine Methods 0.000 description 3
- 238000007630 basic procedure Methods 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 238000005267 amalgamation Methods 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
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- 238000012544 monitoring process Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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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
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
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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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
- G06T2207/30201—Face
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Abstract
This application discloses a kind of modification methods of eye closing photo, comprising: human eye area is identified in current photo, and detecting is to open eyes or close one's eyes；When testing result is to close one's eyes, the face where the human eye area identified, and the most matched eye opening human face photo of the face inquired and determined in the terminal are determined；Using the eye opening human face photo inquired, the human eye area identified in current photo is corrected.Using the application, the amendment of eye closing photo can be carried out automatically.
Description
Technical field
This application involves image processing techniques, in particular to a kind of the modification method and device of eye closing photo.
Background technique
During daily take pictures, the case where often will appear eye closing.For eye closing photo, image procossing skill can be passed through
Art is modified to eye opening photo.Specifically, existing eye closing photo modification method mainly includes following processing:
1. user chooses an eye opening photo；
2. user chooses eye areas and copies on eye closing photo；
3. the various corrected parameters of user setting；
4. system generates new photo according to the Parameter fusion of setting after user's confirmation.
Above-mentioned eye closing photo modification method needs user constantly to participate in, not smart enough.Meanwhile in the above-mentioned methods, it uses
Family is difficult to select to be more suitable for the eye opening photo that current eye closing photo is merged in replacement in the picture library of magnanimity, and be arranged
Also it is easy to appear mistakes to cause generation photo not beautiful enough for corrected parameter.
Summary of the invention
The application provides a kind of modification method of eye closing photo, can realize the amendment of eye closing photo automatically.
To achieve the above object, the application adopts the following technical scheme that
A kind of modification method of eye closing photo, comprising:
Human eye area is identified in current photo, and detecting is to open eyes or close one's eyes；
When testing result is to close one's eyes, determine the face where the human eye area that identifies, and in the terminal inquiry with really
The most matched eye opening human face photo of the face made；Using the eye opening human face photo inquired, corrects and identified in current photo
Human eye area.
Preferably, described identify that human eye area includes: in current photo
It identifies away the human face region in photo, positions facial key feature points, and crucial special according to the face oriented
Eye feature point in sign point, orients human eye area.
Preferably, the detection is the mode opened eyes or closed one's eyes are as follows: pass through deep neural network CNN training and/or SVM
Obtained detection of classifier opens eyes or closes one's eyes, and/or, the connected region judgement based on threshold value is eye opening or closes one's eyes, and/
Or, the approximate judgement determination using human eye area height is to open eyes or close one's eyes.
It is shone preferably, being inquired in systems according to preset matching rule with the most matched eye opening face of face determined
Piece.
Preferably, the matching rule includes: the higher matching degree of face consistency in alternative photo with current photo
In higher, alternative photo in the photo higher, alternative with the higher matching of expression consistency of current photo with current photo
Higher, the alternative photo of the higher matching degree of face head pose consistency in human eye area corresponding with the face of current photo
In the higher, and/or alternative photo of the more consistent matching degree of size more with the actinic more consistent matching degree of the face of current photo
It is high.
Preferably, the human eye area packet identified in the eye opening human face photo amendment current photo that the utilization inquires
It includes:
Human eye area is intercepted in the eye opening human face photo inquired；It is abscissused using the human eye angle deemphasis in current photo
The angle of the human eye area taken；Utilize the illumination for the human eye area that the illumination deemphasis in current photo is just intercepting；Utilize interception
Human eye area after the correction of human eye area in picture and current photo is merged.
Preferably, the illumination for the human eye area that the illumination deemphasis in the current photo is just intercepting includes: to be become using linear
Change the corresponding correction of realization.
Preferably, when the testing result is to close one's eyes, it, should before determining the face where the human eye area identified
Method further comprises:
It reminds user's current photo that there are eye closing situations, if receiving the revision directive of user, continues to execute described true
Surely the processing for the personnel area identified；Otherwise, terminate this process.
A kind of correcting device of eye closing photo, comprising: eye recognition module, human eye state detection module, human eye match mould
Block and eye closing correction module；
The eye recognition module, for identifying human eye area in current photo；
The human eye state detection module is eye opening or eye closing for detecting in the human eye area, and in determination
After eye closing, the human eye matching module is notified；
The human eye matching module, for after receiving notice, determining the face where the human eye area identified, and
The most matched eye opening human face photo of the face inquired and determined in systems；
The eye closing correction module identifies in amendment current photo for utilizing the eye opening human face photo inquired
Human eye area.
As seen from the above technical solution, in the application, identify human eye area in current photo, and detect be open eyes or
It closes one's eyes；When testing result is to close one's eyes, the face where the human eye area identified is determined, and inquire and determine in systems
The most matched eye opening human face photo of face；Using the eye opening human face photo inquired, the people identified in current photo is corrected
Vitrea eye domain.By above-mentioned processing, the amendment of eye closing photo can be realized automatically.
Detailed description of the invention
Fig. 1 is the basic structure schematic diagram of eye closing photo correcting device in the application；
Fig. 2 is the basic procedure schematic diagram of eye closing photo modification method in the application；
Fig. 3 is eye recognition schematic diagram；
Fig. 4 is human eye state detection schematic diagram；
Fig. 5 is the flow diagram that inquiry most matches photo；
Fig. 6 is training stage and the processing stage flow diagram of micro- expression classifier；
Fig. 7 is the network model schematic diagram of micro- expression classifier；
Fig. 8 is the schematic diagram of eye closing correcting process；
Fig. 9 is the schematic diagram of eye closing photo amendment front and back in scene one；
Figure 10 is the schematic diagram of eye closing photo amendment front and back in scene two；
Figure 11 is the schematic diagram of eye closing photo amendment front and back in scene three.
Specific embodiment
In order to which the purpose, technological means and advantage of the application is more clearly understood, the application is done below in conjunction with attached drawing
It is further described.
The application provides the modification method and device of a kind of eye closing photo.Fig. 1 is the basic structure schematic diagram of correcting device,
As shown in Figure 1, the device includes: eye recognition module, human eye state detection module, human eye matching module and amendment mould of closing one's eyes
Block.
Wherein, eye recognition module, for identifying human eye area in current photo.Human eye state detection module, is used for
Detection is to open eyes or close one's eyes, and after determining eye closing, notify human eye matching module in human eye area.Human eye matching module,
For after receiving notice, determining the face where the human eye area identified, and the people for inquiring and determining in systems
The most matched eye opening human face photo of face.Eye closing correction module, for correcting current photo using the eye opening human face photo inquired
In the human eye area that identifies.
Fig. 2 is the modification method basic procedure schematic diagram of eye closing photo in the application.Below in conjunction with the device of Fig. 1, introduce
Modification method specifically includes:
Step 201, human eye area is identified in current photo.
Eye recognition module identifies the human eye area in current photo.It mainly include recognition of face, face alignment and people
Vitrea eye domain determines.Recognition of face and face alignment techniques comparative maturity have many open source libraries to support, such as dlib, opencv
Deng.The specific mode for determining human eye area can be with are as follows: (1) identifies the region of face in current photo；(2) face positioned in alignment
Facial key feature points out, such as eyes, nose, the corners of the mouth point, eyebrow and each component outline point of face；(3) basis is oriented
Facial key features point in eye feature point, orient eye areas.Detailed process refers to Fig. 3 eye recognition schematic diagram.
Step 202, detection is to open eyes or close one's eyes, and continue to execute step 203 after determining eye closing in human eye area.
Human eye state detection module is used to detect that the state of human eye to be to close one's eyes or open eyes.Human eye state detection specifically may be used
So that one of with the following methods or multiple combinations: (1) one classifier of deep neural network CNN training utilizes classifier
Carry out state-detection；(2) SVM (Support Vector Machine) training classifier carries out state inspection using the classifier
It surveys；(3) the connected region judgement based on threshold value, carries out state-detection；(4) it by the approximate judgement of human eye area height, carries out
State-detection.The integrated mode of aforesaid way can be used during actual development, the accuracy rate of monitoring state is higher.Stream in detail
Journey refers to Fig. 4 human eye state detection schematic diagram.
Step 203, it reminds user's current photo there are eye closing situation, prompts the user to indicate whether to need to correct, if so,
Step 204 is executed, otherwise, executes step 208.
The processing of this step is optional processing, can not include this step, directly execution step 204 in practical applications.
Step 204, the face where the human eye area identified is determined.
Step 205, the most matched eye opening human face photo of the face inquired and determined in systems.
Human eye matching module is used for from the terminal (such as face database (eye opening comprising various standards that picture library or system are included
Photo) etc.) in find out and the most matched alternative photo of eye closing photo, for replacing the eye closing region in fusion current photo.?
It can be carried out according to the matching rule of setting when inquiry most matching photo.Wherein, matching priority can be according to following rule:
(1) alternative photo must be opened eyes；(2) alternative human face photo and the face consistency currently closed one's eyes are higher, it is determined that
It is higher with spending；(3) alternative face and the micro- expression consistency of the face currently closed one's eyes are higher, it is determined that matching degree is higher；(4) standby
The face of choosing and the face head pose consistency currently closed one's eyes are higher, it is determined that matching degree is higher；(5) alternative face and work as
The corresponding human eye area size of the face of preceding eye closing is more consistent, it is determined that matching degree is higher；(6) alternative face and current eye closing
Face it is actinic more consistent, it is determined that matching degree is higher.Detailed process can refer to Fig. 5.Wherein, micro- expression classifier instruction
The detail flowchart for practicing stage and processing stage may refer to Fig. 6.The network model of micro- expression classifier is based on MobileNet's
Optimization, detailed model is referring to Fig. 7.
Step 206, using the eye opening human face photo inquired, the human eye area identified in current photo is corrected.
Eye closing correction module goes to the eye closing region in amendment current photo with the eye opening photo recommended in human eye matching module.
Key step can carry out as follows: (1) human eye area in the eye opening photo that interception is recommended；(2) it uses in eye closing photo and corresponds to people
Angle of the angle deemphasis of eye just when the human eye area of preceding interception；(3) with the illumination deemphasis in eye closing photo just when preceding interception
The illumination of human eye area, such as simply usable linear transformation；(4) picture with the eye opening Area generation after correction and eye closing
Corresponding eye closing region is merged in photo, can specifically use existing amalgamation mode, such as common graph cut scheme
Effect.Detailed process closes one's eyes with reference to Fig. 8 and corrects schematic diagram.
Step 207, eye opening photo is generated.
Step 208, the eye opening photo of generation is stored.
The example of several amendment eye closing photos is given below.
Scene 1: often occur the situation of some people eye closing when group takes pictures, be adapted to and opened automatically by the present processes
Eye, as shown in Figure 9.
Scene 2: all eye closing photos are corrected to opening eyes by one key of the present processes in picture library app, certain also may be selected
A little eye closing photo amendments, as shown in Figure 10.
Scene 3: when camera app takes pictures, eye closing situation is detected automatically, and user is reminded to be adapted to eye opening, such as Figure 11
It is shown.
As above the eye closing photo modification method and device for passing through the application, can easily correct eye closing photo, pole automatically
The earth promotes user experience.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent substitution, improvement and etc. done be should be included within the scope of the present invention.
Claims (9)
1. a kind of modification method of eye closing photo characterized by comprising
Human eye area is identified in current photo, and detecting is to open eyes or close one's eyes；
When testing result is to close one's eyes, the face where the human eye area identified is determined, and inquire and determine in the terminal
The most matched eye opening human face photo of face；Using the eye opening human face photo inquired, the people identified in current photo is corrected
Vitrea eye domain.
2. the method according to claim 1, wherein described identify that human eye area includes: in current photo
It identifies away the human face region in photo, positions facial key feature points, and according to the facial key features point oriented
In eye feature point, orient human eye area.
3. the method according to claim 1, wherein the detection is the mode opened eyes or closed one's eyes are as follows: pass through
The detection of classifier that deep neural network CNN training and/or SVM are obtained opens eyes or closes one's eyes, and/or, the connection based on threshold value
Region decision be open eyes or close one's eyes, and/or, approximate judgement determinations using human eye area height is to open eyes or eye closing.
4. the method according to claim 1, wherein inquiring and determining according to preset matching rule in systems
The most matched eye opening human face photo of face out.
5. according to the method described in claim 4, it is characterized in that, the matching rule includes: in alternative photo and current
In higher, the alternative photo of the higher matching degree of face consistency of photo more with the higher matching of expression consistency of current photo
In high, alternative photo in the photo higher, alternative with the higher matching degree of face head pose consistency of current photo with work as
In the higher, and/or alternative photo of the more consistent matching degree of the corresponding human eye area size of the face of preceding photo with current photo
The actinic more consistent matching degree of face is higher.
6. the method according to claim 1, wherein the eye opening human face photo amendment that the utilization inquires is current
The human eye area identified in photo includes:
Human eye area is intercepted in the eye opening human face photo inquired；It is just being intercepted using the human eye angle deemphasis in current photo
The angle of human eye area；Utilize the illumination for the human eye area that the illumination deemphasis in current photo is just intercepting；Utilize the human eye of interception
Human eye area after the correction in region in picture and current photo is merged.
7. according to the method described in claim 6, it is characterized in that, the human eye that the illumination deemphasis in the current photo is just intercepting
The illumination in region includes: to realize corresponding correction using linear transformation.
8. according to claim 1 to any method in 7, which is characterized in that when the testing result is to close one's eyes, true
Surely before the face where the human eye area identified, this method further comprises:
It reminds user's current photo that there are eye closing situations, if receiving the revision directive of user, continues to execute the determining knowledge
Not Chu personnel area processing；Otherwise, terminate this process.
9. a kind of correcting device of eye closing photo, which is characterized in that the device includes: eye recognition module, human eye state detection
Module, human eye matching module and eye closing correction module；
The eye recognition module, for identifying human eye area in current photo；
The human eye state detection module is to open eyes or close one's eyes, and close one's eyes determining for detecting in the human eye area
Afterwards, the human eye matching module is notified；
The human eye matching module, for determining the face where the human eye area identified, and be after receiving notice
The most matched eye opening human face photo of the face inquired and determined in system；
The eye closing correction module, for correcting the human eye identified in current photo using the eye opening human face photo inquired
Region.
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| CN201811171136.3A CN109376624A (en) | 2018-10-09 | 2018-10-09 | A kind of modification method and device of eye closing photo |
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| CN111340688A (en) * | 2020-02-24 | 2020-06-26 | 网易（杭州）网络有限公司 | Method and device for generating eye closing image |
| CN112036311A (en) * | 2020-08-31 | 2020-12-04 | 北京字节跳动网络技术有限公司 | Image processing method and device based on eye state detection and storage medium |
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