CN106127841A - A kind of method generating individual cartoon Dynamic Graph based on human face photo - Google Patents
A kind of method generating individual cartoon Dynamic Graph based on human face photo Download PDFInfo
- Publication number
- CN106127841A CN106127841A CN201610459909.2A CN201610459909A CN106127841A CN 106127841 A CN106127841 A CN 106127841A CN 201610459909 A CN201610459909 A CN 201610459909A CN 106127841 A CN106127841 A CN 106127841A
- Authority
- CN
- China
- Prior art keywords
- cartoon
- human face
- dynamic graph
- face photo
- pixel
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T13/00—Animation
- G06T13/80—2D [Two Dimensional] animation, e.g. using sprites
Abstract
The invention discloses a kind of method generating individual cartoon Dynamic Graph based on human face photo, belong to image processing field, comprise the following steps: step 1, on painting canvas, set up a coordinate system；Step 2, described human face photo and cartoon image are placed on different figure layers；Step 3, employing masking-out mode extract optimal facial contour；Step 4, employing progressive scan mode generate the described optimal facial contour of static state of background transparent；Step 5, employing frame connecting method generate individual cartoon Dynamic Graph.The method generating individual cartoon Dynamic Graph based on human face photo of the present invention, it is possible to obtain more rich cartoon material selectiong space and compound mode；Face mask more accurately can be intercepted, eliminate incomplete and unnecessary intercepting；The displacement of head portrait can be passed through and be rotated up to more lively expression；Can have faster formation speed；The generation of dynamic cartoon image can be supported and definition supports that high score screen mobile phone is undistorted.
Description
Technical field
The present invention relates to image processing field, particularly relate to a kind of side generating individual cartoon Dynamic Graph based on human face photo
Method.
Background technology
Painting like face is by the way of drawing, appearance and the mood of true man is combined, draws close to true man on paper
Head portrait.Painting like face and initially originate from Europe, after passing to Japan, the Ukjyoe in conjunction with Japan develops, and is painted on Japan like face
Very popular, widely it is used for referring to ironic portrait-cartoon.Using caricature form performance like face paint just as
A kind of emerging trend things development gets up.Video display star Chen little Chun paints as shown in Figure 1 like face.
It is said that in general, existing painting like face is required for special painter and is made by the form of Freehandhand-drawing, and enter interconnection
Net has disappeared since the epoch soon, generates, by program and algorithm, the form painted like face and becomes increasingly abundant, including one painted like face
Branch, will be combined with cartoon image by true man's photo, to reach the purpose of Individuality expression.Barcelona soccer star true man's photo and cartoon figure
As combine paints as shown in Figure 2 like face.
There is many problems in the combination of true man's photo and cartoon image at present, as few in optional material, material combination free degree
Low；Face mask intercepts inaccuracy；Do not support displacement and the rotation of head portrait；Formation speed is slow；Dynamic picture cannot be generated；Image
Quality is low etc..
Therefore, those skilled in the art is devoted to develop a kind of side generating individual cartoon Dynamic Graph based on human face photo
Method, it is achieved accurately and quickly choose and generate cartoon Dynamic Graph image.
Summary of the invention
Because the drawbacks described above of prior art, the technical problem to be solved is the most real based on human face photo
The most accurately and quickly choose and generate cartoon Dynamic Graph image.
For achieving the above object, the invention provides a kind of method generating individual cartoon Dynamic Graph based on human face photo,
Comprise the following steps:
Step 1, on painting canvas, set up a coordinate system；
Step 2, described human face photo and cartoon image are placed on different figure layers；
Step 3, employing masking-out mode extract optimal facial contour；
Step 4, employing progressive scan mode generate the described optimal facial contour of static state of background transparent；
Step 5, employing frame connecting method generate individual cartoon Dynamic Graph.
Further, described coordinate system is 640*640.
Further, the frame number of described frame splicing is 6 frames.
Further, described masking-out mode is extracted and is also included mobile, scaling and rotation process.
Further, described progressive scan mode particularly as follows:
Step 3.1, it is the point set comprising some starting and endings point by each for masking-out line description；
Step 3.2, bottom from described optimal facial contour start up to scan, if the 1st all transparent pixels of row,
Then it is described as (1, N), represents the first row and be all set to transparent from the 1st pixel to n-th pixel；
Step 3.3, by that analogy, if Nth row is transparent from the 1st pixel to the X pixel, the X pixel to Y
Individual pixel is masked area, and the Y pixel to the Z pixel is transparent, then this line description is (1, X), (Y, Z)；
Step 3.4, describe according to the progressive scan of masking-out, described optimal facial contour is started up from bottom: the 1st row
All being set to transparent pixels, Nth row starts to be set to transparent to the X pixel from the 1st pixel, the Y pixel to the Z pixel
It is set to transparent；
After step 3.5, displacement, final image seeks to the described optimal facial contour intercepted.
Further, described frame splicing particularly as follows:
Step 5.1, at the 1st frame of cartoon material, described human face photo central point is placed in (X1, Y1) coordinate position,
Amplify P1 times, and the Q1 degree that turns clockwise；
Step 5.2, doing identical conversion at other frames of cartoon material, the value of described X, Y, P, Q is incomplete same；
Step 5.3, whole frames are carried out in order carousel, export described individual cartoon Dynamic Graph.
Further, described masking-out comprises different sexes, shape of face and hair style.
Further, the two field picture of described frame splicing and the method for frame splicing are stored in service end.
Further, in described step 5.3, the frame switching interval of described carousel is arranged according to movement range.
Further, described frame switching interval is 0.1～0.5 second.
The method generating individual cartoon Dynamic Graph based on human face photo of the present invention, it is possible to obtain more rich cartoon
Material selectiong space and compound mode；Face mask more accurately can be intercepted, eliminate incomplete and unnecessary intercepting；Head can be passed through
The displacement of picture and be rotated up to more lively expression；Can have faster formation speed；Dynamic cartoon image can be supported
Generate and definition support high score screen mobile phone undistorted.
Below with reference to accompanying drawing, the technique effect of design, concrete structure and the generation of the present invention is described further, with
It is fully understood from the purpose of the present invention, feature and effect.
Accompanying drawing explanation
Fig. 1 is that video display star Chen little Chun paints like face；
Fig. 2 is that video display star's Liu Dehua true man's photo is combined version with cartoon image and paints like face；
Fig. 3 is the schematic flow sheet of a preferred embodiment of the present invention；
Fig. 4 is the employing shade masking-out figure layer example of a preferred embodiment of the present invention；
Fig. 5 is the various shade templates of a preferred embodiment of the present invention；
Fig. 6 be human face photo and the shade figure layer of a preferred embodiment of the present invention most preferably mate example.
Detailed description of the invention
With embodiment, technical scheme shown in the present invention is described in further detail below in conjunction with the accompanying drawings.May be appreciated
It is that specific embodiment described herein is used only for explaining related invention, rather than the restriction to this invention.Further need exist for
Bright, for the ease of describing, accompanying drawing illustrate only part related to the present invention.In the case of not conflicting, the present invention
Embodiment in application and the feature in embodiment can be mutually combined.
Fig. 3 is the flow chart of an embodiment of the method for generation cartoon human face Dynamic Graph of the present invention.This enforcement
Example is applied to have certain operational capability and takes pictures or store in the terminal of function illustrate the most in this way, this terminal
Smart mobile phone, panel computer, E-book reader, MP3 player (Moving Picture can be included but not limited to
Experts Group Audio Layer III, dynamic image expert's compression standard audio frequency aspect 3), MP4 (Moving
Picture Experts Group Audio Layer IV, dynamic image expert's compression standard audio frequency aspect 4) player, knee joint
Mo(u)ld top half pocket computer and desk computer etc..
Traditional painter is required for a drawing board and drawing paper during drafting is painted like face, and at the neck being digitally generated
Territory, our this drawing paper is called " painting canvas ", and any image is all with certain colour and transparent by the pixel on this painting canvas
Spend combined and formed, any image will be carried out and generate, be required for processing on this painting canvas.
As shown in Figure 4, setting up a coordinate system on painting canvas, the present embodiment is as a example by the dot matrix of 640*640.
True man's human face photo and cartoon figure layer are respectively placed on different figure layers, and cartoon figure layer is placed on true man people
On face photo figure layer, play the effect of superposition after shade.
The portrait photo of common shooting, because comprising the contents such as body, extremity, background, is not suitable for direct with cartoon material
In conjunction with, the method for generation cartoon human face Dynamic Graph of the present invention achieves the mode that shade intercepts, by providing tens of kinds
Different sexes, shape of face, the shade template of hair style, as it is shown in figure 5, intercept most suitable facial contour from true man's photo.
Because pixel, size, face size, ratio and the angle etc. of real pictures all there are differences, in practice mistake
Cheng Zhong, the simple shade that passes through likely selects excessive, too small, the most inclined facial contour, generation cartoon the most of the present invention
The method of face Dynamic Graph is additionally provided rotation on the basis of shade, translates and scale, as shown in Figure 6, to reach optimal face
The purpose that contouring is chosen.
In actual applications, we have only to use the part within shade figure layer, and by the part beyond shade figure layer
All being set to transparent pixels, because human face photo is bitmap, the most traditional algorithm is the mode using masking-out matrix:
1. masking-out is described as a two-dimensional matrix, comprises 640*640 numerical value.
2. according to the profile of masking-out, it is 1 within each numerical value is set to 0 or 1, i.e. masking-out, is 0 beyond masking-out.
3. alpha (transparency) value of each point of real human face photo is multiplied by the numerical value that this two-dimensional matrix is corresponding.
4. final image is exactly the facial contour needing to intercept.
Above-mentioned traditional algorithm is for each masking-out, and the memory space of needs is bigger, and the numerical matrix of each masking-out needs
Want the memory space of hundreds of kilobytes, and every time intercept operation be required for doing hundreds thousand of values and multiplying, storage and
Operation efficiency is all relatively lower, the method for generation cartoon human face Dynamic Graph of the present invention have employed a kind of follow-on " by
Line scan algorithm ":
1. it is the point set comprising some starting and endings point by each for masking-out line description, comes to 640 point sets.
2. start from bottom up to scan, if the 1st all transparent pixels of row, be then described as (1,640), represent first
Row is all set to transparent from the 1st pixel to the 640th pixel.
The most by that analogy, if Nth row is transparent from the 1st pixel to the X pixel, the X pixel to the Y pixel
For masked area, the Y pixel to the Z pixel is transparent, then this line description is (1, X), (Y, Z).
4. describe according to the progressive scan of masking-out, real human face photo is started up from bottom: the 1st row is all set to
Bright pixel, Nth row starts to be set to transparent to the X pixel from the 1st pixel, and the Y pixel to the Z pixel is set to transparent.
5. after displacement, final image seeks to the facial contour intercepted.
The two-dimensional matrix of 640*640 is described as the dot matrix of 640 row by above-mentioned progressive scan algorithm, big by discrete type
Amount computing is reduced to a small amount of computing of batch operation type, is greatly improved storage efficiency and operation efficiency.
Any animation to show motion or change, at least before and after to provide two different key states, and intermediateness
Change and linking computer can be automatically performed, in animation, represent that the frame animation of key state is called key-frame animation, so-called
Key-frame animation, it is simply that giving the attribute needing animation effect, prepare the value of a group and time correlation, these values are all in animation sequence
Frame the most crucial in row extracts, and the value in other times frame, these key values can be used, use specific inserting
Value method is calculated, thus reaches than smoother animation effect.
In actual applications, frame number is the most, then animation is the most smooth, but is more difficult to load from network；Frame number is the fewest, then animation
More card, but the easiest from network loading.The method of generation cartoon human face Dynamic Graph of the present invention uses 6 frame key frames to make
For realizing, through test, best balance can be reached in fluency and network loading velocity.
Time required for animation loading is longer than static images, in network application, sometimes has only to use animation
In some frame as prestrain figure, the method for generation cartoon human face Dynamic Graph of the present invention uses " best illustrated
Frame " mode, i.e. for each dynamic picture, a best illustrated frame is all described.
“frame_info”:{
“total_frames”:6,
“best_frame”:3
}
The human face photo after treatment of aforementioned acquisition, needs to be spliced to inside cartoon material ultimately generate individual cartoon
Dynamic Graph, and the one that the method that " frame splicing describes " is exactly generation cartoon human face Dynamic Graph of the present invention is used is told
How computer removes the computer description language of splicing, and inside 640*640 coordinate system, this describes language mainly by position, big
Little, the anglec of rotation is constituted, and has had these data, and it is dynamic that computer just can go to automatically generate individual cartoon as true man painter
Scheme.One typical " frame splicing describes " is as follows:
“composition”:[{
“frame”:1,
“pos_x”:150,
“pos_y”:240,
“scale”:1.5,
“rotate”:90,
},{
“frame”:1,
“pos_x”:150,
“pos_y”:240,
“scale”:1.5,
“rotate”:90,
}]
At the 1st frame of cartoon material, true man's optical center is placed in (150,240) coordinate position, amplifies 1.5 times,
And dextrorotation turn 90 degrees；At the 2nd frame of cartoon material, true man's optical center is placed in (180,240) coordinate position, puts
Big 1.2 times, and dextrorotation turnback；At other frames of cartoon material, direct overlapping does not converts.Described by frame splicing,
Originally at the face that cartoon Dynamic Graph accent is unalterable, it now is possible to realize mobile, zoom, the specially good effect such as reduces so that
Last individual cartoon Dynamic Graph out more vividly catches the spirit.
Traditional generation technique, all completes splicing and calculates in this locality, and generation cartoon human face of the present invention is dynamic
Two field picture by aforesaid cartoon Dynamic Graph and corresponding " frame splicing describes " of the methodological innovation of figure are stored in clothes
Business end, advantage of this is that: in actual motion, the effect of the final individual cartoon Dynamic Graph of conversion that can be real-time, logical
The conversion crossing frame can realize the conversion of color, content etc., and the change passing through " frame splicing describes " can realize human face action
The conversion of amplitude, frequency, angle etc..
By the expansion of material database, the method for generation cartoon human face Dynamic Graph of the present invention can realize final individual character
The conversion of cartoon Dynamic Graph theme, not only true man's photo is not unalterable, possesses multiformity in order to the cartoon material spliced yet,
Technology user can select between different themes, such as can convert a set of actual human head sculpture to true man and add the chivalrous health of iron and steel
Individual cartoon Dynamic Graph with background, it is also possible to convert a set of actual human head sculpture ultraman health dynamic with the individual cartoon of background
Figure, rich and varied, on-demand selection.
The preferred embodiment of the present invention described in detail above.Should be appreciated that the ordinary skill of this area is without wound
The property made work just can make many modifications and variations according to the design of the present invention.Therefore, all generation cartoons of the present invention
In the method field of face Dynamic Graph, technical staff passes through logical analysis the most on the basis of existing technology, pushes away
Reason or the limited available technical scheme of experiment, all should be in the protection domain being defined in the patent claims.
Claims (10)
1. the method generating individual cartoon Dynamic Graph based on human face photo, it is characterised in that comprise the following steps:
Step 1, on painting canvas, set up a coordinate system；
Step 2, described human face photo and cartoon image are placed on different figure layers；
Step 3, employing masking-out mode extract optimal facial contour；
Step 4, employing progressive scan mode generate the described optimal facial contour of static state of background transparent；
Step 5, employing frame connecting method generate individual cartoon Dynamic Graph.
2. the method generating individual cartoon Dynamic Graph based on human face photo as claimed in claim 1, it is characterised in that described seat
Mark system is 640*640.
3. the method generating individual cartoon Dynamic Graph based on human face photo as claimed in claim 1, it is characterised in that described frame
The frame number of splicing is 6 frames.
4. the method generating individual cartoon Dynamic Graph based on human face photo as claimed in claim 1, it is characterised in that described illiteracy
Version mode is extracted and is also included mobile, scaling and rotation process.
5. the method as claimed in claim 1 generating individual cartoon Dynamic Graph based on human face photo, it is characterised in that described by
Row scan mode particularly as follows:
Step 3.1, it is the point set comprising some starting and endings point by each for masking-out line description；
Step 3.2, bottom from described optimal facial contour start up to scan, if the 1st all transparent pixels of row, then retouch
State as (1, N), represent the first row and be all set to transparent from the 1st pixel to n-th pixel；
Step 3.3, by that analogy, if Nth row is transparent from the 1st pixel to the X pixel, the X pixel to the Y picture
Element is masked area, and the Y pixel to the Z pixel is transparent, then this line description is (1, X), (Y, Z)；
Step 3.4, describe according to the progressive scan of masking-out, described optimal facial contour is started up from bottom: the 1st row is whole
Being set to transparent pixels, Nth row starts to be set to transparent to the X pixel from the 1st pixel, and the Y pixel to the Z pixel is set to
Transparent；
After step 3.5, displacement, final image seeks to the described optimal facial contour intercepted.
6. the method generating individual cartoon Dynamic Graph based on human face photo as claimed in claim 1, it is characterised in that described frame
Splicing particularly as follows:
Step 5.1, at the 1st frame of cartoon material, described human face photo central point is placed in (X, Y) coordinate position, amplifies P
Times, and the Q degree that turns clockwise；
Step 5.2, doing identical conversion at other frames of cartoon material, the value of described X, Y, P, Q is incomplete same；
Step 5.3, whole frames are carried out in order carousel, export described individual cartoon Dynamic Graph.
7. the method generating individual cartoon Dynamic Graph based on human face photo as claimed in claim 1, it is characterised in that described illiteracy
Version comprises different sexes, shape of face and hair style.
8. the method generating individual cartoon Dynamic Graph based on human face photo as claimed in claim 1, it is characterised in that described frame
The method of the two field picture of splicing and frame splicing is stored in service end.
9. the method generating individual cartoon Dynamic Graph based on human face photo as claimed in claim 6, it is characterised in that described step
In rapid 5.3, the frame switching interval of described carousel is arranged according to movement range.
10. the method generating individual cartoon Dynamic Graph based on human face photo as claimed in claim 9, it is characterised in that described
Frame switching interval is 0.1～0.5 second.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610459909.2A CN106127841A (en) | 2016-06-22 | 2016-06-22 | A kind of method generating individual cartoon Dynamic Graph based on human face photo |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610459909.2A CN106127841A (en) | 2016-06-22 | 2016-06-22 | A kind of method generating individual cartoon Dynamic Graph based on human face photo |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106127841A true CN106127841A (en) | 2016-11-16 |
Family
ID=57267843
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610459909.2A Pending CN106127841A (en) | 2016-06-22 | 2016-06-22 | A kind of method generating individual cartoon Dynamic Graph based on human face photo |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106127841A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110058887A (en) * | 2018-01-16 | 2019-07-26 | 腾讯科技（深圳）有限公司 | Method for processing video frequency, device, computer readable storage medium and computer equipment |
| CN111787240A (en) * | 2019-04-28 | 2020-10-16 | 北京京东尚科信息技术有限公司 | Video generation method, device and computer readable storage medium |
| CN112819922A (en) * | 2021-02-02 | 2021-05-18 | 郑州轻工业大学 | Figure portrait painting generation method based on continuous lines |
| WO2022033138A1 (en) * | 2020-08-11 | 2022-02-17 | 深圳市前海手绘科技文化有限公司 | Bitmap-based method for generating hand-drawn materials |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010033235A1 (en) * | 2008-09-18 | 2010-03-25 | Screen Test Studios, Llc | System and method for pre-engineering video clips |
| CN102682420A (en) * | 2012-03-31 | 2012-09-19 | 北京百舜华年文化传播有限公司 | Method and device for converting real character image to cartoon-style image |
| CN103426194A (en) * | 2013-09-02 | 2013-12-04 | 厦门美图网科技有限公司 | Manufacturing method for full animation expression |
| CN104637078A (en) * | 2013-11-14 | 2015-05-20 | 腾讯科技（深圳）有限公司 | Image processing method and device |
| CN104899825A (en) * | 2014-03-06 | 2015-09-09 | 腾讯科技（深圳）有限公司 | Method and device for modeling picture figure |
-
2016
- 2016-06-22 CN CN201610459909.2A patent/CN106127841A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010033235A1 (en) * | 2008-09-18 | 2010-03-25 | Screen Test Studios, Llc | System and method for pre-engineering video clips |
| CN102682420A (en) * | 2012-03-31 | 2012-09-19 | 北京百舜华年文化传播有限公司 | Method and device for converting real character image to cartoon-style image |
| CN103426194A (en) * | 2013-09-02 | 2013-12-04 | 厦门美图网科技有限公司 | Manufacturing method for full animation expression |
| CN104637078A (en) * | 2013-11-14 | 2015-05-20 | 腾讯科技（深圳）有限公司 | Image processing method and device |
| CN104899825A (en) * | 2014-03-06 | 2015-09-09 | 腾讯科技（深圳）有限公司 | Method and device for modeling picture figure |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110058887A (en) * | 2018-01-16 | 2019-07-26 | 腾讯科技（深圳）有限公司 | Method for processing video frequency, device, computer readable storage medium and computer equipment |
| CN111787240A (en) * | 2019-04-28 | 2020-10-16 | 北京京东尚科信息技术有限公司 | Video generation method, device and computer readable storage medium |
| WO2022033138A1 (en) * | 2020-08-11 | 2022-02-17 | 深圳市前海手绘科技文化有限公司 | Bitmap-based method for generating hand-drawn materials |
| CN112819922A (en) * | 2021-02-02 | 2021-05-18 | 郑州轻工业大学 | Figure portrait painting generation method based on continuous lines |
| CN112819922B (en) * | 2021-02-02 | 2024-03-12 | 郑州轻工业大学 | Character portrait drawing generation method based on continuous lines |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6768695B2 (en) | Methods and devices for generating composite pictures | |
| CN106127841A (en) | A kind of method generating individual cartoon Dynamic Graph based on human face photo | |
| US6504545B1 (en) | Animated font characters | |
| Zhang et al. | Style transfer via image component analysis | |
| CN104834800A (en) | Beauty making-up method, system and device | |
| Yang et al. | Context-aware text-based binary image stylization and synthesis | |
| CN103139478A (en) | Photographing method with real-time rendering of main image and secondary image | |
| Chilton et al. | VisiFit: Structuring iterative improvement for novice designers | |
| CN107179920A (en) | Network engine starts method and device | |
| KR102573822B1 (en) | Method for changing style and replaying of vector image | |
| Yang et al. | Context-aware unsupervised text stylization | |
| Linfante | Fashion Statements. Fashion Communication as an Expression of Artistic, Political, and Social Manifesto between Physical and Digital | |
| Kim et al. | Reference-based image composition with sketch via structure-aware diffusion model | |
| Dutreve et al. | Easy acquisition and real‐time animation of facial wrinkles | |
| Ligon | Digital art revolution | |
| Fischer et al. | Imaginenet: restyling apps using neural style transfer | |
| Zhu | The optimization function of computer image technology in processing oil painting creation | |
| CN105138296B (en) | The method and apparatus of virtual spectators' head portrait mosaic | |
| CN105957136B (en) | Characters in a fancy style effect method for drafting and its system | |
| Luo et al. | Multimodal fusion for traditional Chinese painting generation | |
| Kongdee et al. | The Creation of Digital image in Thai Cultural using AI generated | |
| Sokal et al. | High-quality AR lipstick simulation via image filtering techniques | |
| Boumaroun | Costume designer/everything: hybridized identities in animation production | |
| Fan et al. | SemiPainter: Learning to draw semi-realistic paintings from the manga line drawings and flat shadow | |
| Sun et al. | The Application of Facial Makeup in Peking Opera in the Projection of New Media Art |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161116 |