CN103971394A - Facial animation synthesizing method - Google Patents

Facial animation synthesizing method Download PDF

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Publication number
CN103971394A
CN103971394A CN201410214160.6A CN201410214160A CN103971394A CN 103971394 A CN103971394 A CN 103971394A CN 201410214160 A CN201410214160 A CN 201410214160A CN 103971394 A CN103971394 A CN 103971394A
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face
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human face
animation
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CN103971394B (en
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沈晔湖
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Suzhou Institute of Nano Tech and Nano Bionics of CAS
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Suzhou Institute of Nano Tech and Nano Bionics of CAS
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Abstract

A facial animation synthesizing method comprises the step of obtaining a facial front image on which the animation synthesis needs to be carried out, the step of carrying out three-dimensional human face model estimation based on the front image of the human face, the step of carrying out the front human face carton effect synthesis based on the facial feature analysis to obtain a front facial carton effect composite graph, the step of carrying out the multi-posture facial carton effect synthesis based on the human face three-dimensional model estimation and the front facial carton effect composite graph, the step of embedding the synthesized multi-posture facial carton effect synthesis in the preset animation video material to obtain the animation video of the human face cartoon effect. According to the facial animation synthesizing method, the traditional artificial animation creation of the facial carton effect is avoided, achieving is easy and fast, and different individuation requirements of different users can be met.

Description

Human face animation synthetic method
Technical field
The present invention relates to image processing field, be specifically related to a kind of human face animation synthetic method with cartoon effect.
Background technology
Flourish along with multimedia bearers such as mobile phone, networks, digital cartoon animation industry rapid growth, becomes the mainstream culture product of information age gradually.
Although personalized cartoon animation has good application prospect, yet nearly all personalized cartoon animation is all formed by animation Shi Shougong creation so far, yields poorly, cost is high, can not meet the growing personalized consumption demand of consumer.
Summary of the invention
In view of this, be necessary to provide a kind of fast and the human face animation synthetic method that can meet individual requirements.
A human face animation synthetic method, comprises the steps:
Obtain and want to carry out the synthetic people's face direct picture of animation;
Based on described people's face direct picture, carry out three-dimensional face model estimation;
Based on Facial Feature Analysis, carry out front face cartoon effect and synthesize, obtain front face cartoon effect composite diagram;
Based on described human face three-dimensional model estimate and described front face cartoon effect composite diagram to carry out multi-pose Face cartoon effect synthetic;
By in the default animated video material of the synthetic embedding of described synthetic multi-pose Face cartoon effect, obtain the animated video of human face cartoon effect.
Preferably, described step of carrying out three-dimensional face model estimation based on described people's face direct picture further comprises:
Build a training set { s who comprises m three-dimensional face shape 1, s 2..., s m, make three-dimensional model s j(1≤j≤m) unique point p above and on facial image t=(u t, v t) tcorresponding summit is v tj, 1≤t≤k wherein, k is the number of unique point on described facial image.
Preferably, adopt optimization energy function:
f(v)＝argmin(||p t-(v tj) 1:2||)，
Find two-dimensional coordinate and p that optimum three-dimensional point makes its summit tthe most approaching.
Preferably, take above-mentioned energy function as basis, the optimized algorithm of utilization based on sparse linear model, all unique points are regarded as to an integral body, and be combined into a sparse shape vector, then utilize the priori in training storehouse to have the data of disappearance to carry out overall estimation to sparse vector, thereby obtain the class three-dimensional coordinate of unique point.
Preferably, after obtaining class three-dimensional coordinate unique point, utilize the three-dimensional face model method for reconstructing based on unique point deformation techniques to carry out three-dimensional face model reconstruction.
Preferably, the method that described three-dimensional face model is rebuild comprises:
If the l of model summit forms a three-dimensional point set and is: Q={x 1, x 2..., x l, being wherein marked on down k and take interiorly as estimating at the unique point of class three-dimensional information, the optimization estimated value of the unique point of class three-dimensional information is: Y={y 1, y 2..., y k, utilize following deformation techniques to estimate three-dimensional face model:
F ( x j ) = Σ i = 1 k w i Φ ( | | x j - y i | | ) + x j ,
Wherein, Φ () is radial basis function, w ifor weight.
Preferably, describedly based on Facial Feature Analysis, carry out the synthetic step of front face cartoon effect and comprise:
The man face characteristic point positioning method of employing based on active shape model technology, and according to human eye feature anchor point carry out yardstick, rotational transform realizes normalization, the mode connecting by Bezier obtains the front face cartooning image of stick figure effect.
Preferably, describedly based on described human face three-dimensional model, estimate and described front face cartoon effect composite diagram carries out the synthetic step of multi-pose Face cartoon effect and comprises:
Described front face cartoon effect composograph and three-dimensional face model are carried out respectively to Delaunay triangulation scheme, obtain after Delaunay triangulation result, in conjunction with the face characteristic in human face characteristic point and three-dimensional face model in front face cartoon effect composite diagram name a person for a particular job front face cartooning image as texture to the three-dimensional face model of estimating to obtain;
Thereby utilize how much rigid body translation matrixes in conjunction with parameter preset projection matrix, three-dimensional face model to be carried out to posture changing and project into two dimensional image obtaining the synthetic result of multi-pose Face cartoon effect.
Preferably, when carrying out Delaunay triangulation scheme, first the spot projection of three-dimensional face model is arrived to two dimensional image plane, then in described two dimensional image plane, carry out Delaunay triangulation, finally according to its annexation, determine the annexation of three dimensions mid point.
Preferably, after obtaining the synthetic result of multi-pose Face cartoon effect, according to leading role's facial pose in described default animated video material, select the synthetic result of corresponding human face cartoon caricature effect to replace original leading role, obtain the animated video of human face cartoon effect.
Preferably, utilize and minimize objective function:
arg min I ∫ | | ▿ I - v | | 2 ,
Head portrait and the background of replacing are smoothly merged, and wherein I be the image after smoothly, and v is the gradient fields of former cartoon image.
With respect to prior art, described human face animation synthetic method generates the three-dimensional model of people's face and carries out front face cartoon effect and synthesize according to the direct picture of people's face, three-dimensional model and the synthetic multi-pose Face cartoon effect of carrying out of front face cartoon effect according to people's face are synthetic, finally synthetic multi-pose Face effect and default animated video material are synthesized, avoided the animation of Traditional Man creation human face cartoon effect, realize simple and quick, and different user can carry out the synthetic of human face cartoon effect animation according to different demands, therefore can meet multiple different individual demand.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the human face animation synthetic method of embodiment of the present invention.
Embodiment
Below with reference to accompanying drawing, the invention will be further described.
Refer to Fig. 1, the human face animation synthetic method of embodiment of the present invention comprises the steps:
Step 01, obtains and wants to carry out the synthetic people's face direct picture of animation, and in present embodiment, described people's face direct picture is obtained by digital camera.
Step 02, carries out three-dimensional face model estimation based on described people's face direct picture.
Particularly, first build a training set { s who comprises m three-dimensional face shape 1, s 2..., s m, make three-dimensional model s j(1≤j≤m) unique point p above and on facial image t=(u t, v t) t(1≤t≤k, k is the number of unique point on described facial image) corresponding summit is v tj.By optimizing the method for following basic function, find two-dimensional coordinate and the p that optimum three-dimensional point makes its summit tthe most approaching.
f(v)＝argmin(||p t-(v tj) 1:2||) (1)
Take above-mentioned energy function as basis, the optimized algorithm of utilization based on sparse linear model, all unique points are regarded as to an integral body, and be combined into a sparse shape vector, then utilize the priori in training storehouse to have the data of disappearance to carry out overall estimation to sparse vector, thereby obtain the class three-dimensional coordinate of unique point.So, can obtain relatively accurate, stable estimated result.
After obtaining class three-dimensional coordinate unique point, utilize the three-dimensional face model method for reconstructing based on unique point deformation techniques to carry out three-dimensional face model reconstruction.L summit of specifically, establishing model forms a three-dimensional point set and is: Q={x 1, x 2..., x l, be wherein marked on down k and take interior as estimating at the unique point of class three-dimensional information.The optimization estimated value of the unique point of class three-dimensional information is: Y={y 1, y 2..., y k.
Utilize following deformation techniques to estimate three-dimensional face model:
F ( x j ) = Σ i = 1 k w i Φ ( | | x j - y i | | ) + x j - - - ( 2 )
In formula (2), Φ () is radial basis function, w ifor weight.
Step 03, carries out front face cartoon effect based on Facial Feature Analysis and synthesizes, and obtains front face cartoon effect composite diagram.
In present embodiment, adopt the man face characteristic point positioning method based on active shape model (Active Shape Model:ASM) technology, and according to human eye feature anchor point carry out yardstick, rotational transform realizes normalization.Obtaining on the basis of human face characteristic point, the mode connecting by Bezier (B é zier curve) obtains the front face cartooning image of stick figure effect.
Step 04, carries out multi-pose Face cartoon effect and synthesizes.
Particularly, front face cartoon effect composograph and three-dimensional face model are carried out respectively to Delaunay triangulation scheme.In present embodiment, first the spot projection of three-dimensional face model is arrived to two dimensional image plane, in described two dimensional image plane, carry out Delaunay triangulation, finally according to its annexation, determine the annexation of three dimensions mid point, can avoid carrying out under conventional three-dimensional data the very high computing of complexity of Delaunay triangulation.After obtaining Delaunay triangulation result, corresponding relation in conjunction with the human face characteristic point in human face characteristic point and three-dimensional face model in front face cartoon effect composite diagram is realized texture, is also about to front face cartooning image and goes to the three-dimensional face model of estimating to obtain as texture.Thereby finally utilize how much rigid body translation matrixes in conjunction with camera intrinsic parameter projection matrix, three-dimensional face model to be carried out to posture changing and project into two dimensional image obtaining the synthetic result of multi-pose Face cartoon effect.
Step 05, by the default animated video material of the synthetic embedding of described synthetic multi-pose Face cartoon effect.The described personalized cartoon animation of described foundation is synthetic.
Particularly, after obtaining the synthetic result of multi-pose Face cartoon effect, can select the synthetic result of corresponding human face cartoon caricature effect to replace original leading role according to leading role's facial pose in described default animated video material.
In present embodiment, utilize the Space integration scheme of processing based on image gradient territory, head portrait and the background of replacing are smoothly merged, eliminate the lofty contrast between the synthetic and background of human face cartoon caricature effect, improve the sense of reality of video image.Use to minimize objective function as follows:
arg min I ∫ | | ▿ I - v | | 2 - - - ( 3 )
Wherein I is the image after level and smooth, and v is the gradient fields of former cartoon image.Above-mentioned minimization problem can be converted into and solve following Poisson (Poisson) equation:
ΔI–div(v)＝0 (4)
Above-mentioned Poisson equation can be realized numerical solution by solving extensive system of linear equations.
Described human face animation synthetic method generates the three-dimensional model of people's face and carries out front face cartoon effect and synthesize according to the direct picture of people's face, three-dimensional model and the synthetic multi-pose Face cartoon effect of carrying out of front face cartoon effect according to people's face are synthetic, finally synthetic multi-pose Face effect and default animated video material are synthesized, avoided the animation of Traditional Man creation human face cartoon effect, realize simple and quick, and different user can carry out the synthetic of human face cartoon effect animation according to different demands, therefore can meet multiple different individual demand.
The above; it is only preferred embodiment of the present invention; not the present invention is done to any pro forma restriction, any simple modification, equivalent variations and modification that every foundation technical spirit of the present invention is done above embodiment, all still belong to the protection domain of technical solution of the present invention.

Claims (11)

1. a human face animation synthetic method, comprises the steps:
Obtain and want to carry out the synthetic people's face direct picture of animation;
Based on described people's face direct picture, carry out three-dimensional face model estimation;
Based on Facial Feature Analysis, carry out front face cartoon effect and synthesize, obtain front face cartoon effect composite diagram;
Based on described human face three-dimensional model estimate and described front face cartoon effect composite diagram to carry out multi-pose Face cartoon effect synthetic;
By in the default animated video material of the synthetic embedding of described synthetic multi-pose Face cartoon effect, obtain the animated video of human face cartoon effect.
2. human face animation synthetic method as claimed in claim 1, is characterized in that: described step of carrying out three-dimensional face model estimation based on described people's face direct picture further comprises:
Build a training set { s who comprises m three-dimensional face shape 1, s 2..., s m, make three-dimensional model s j(1≤j≤m) unique point p above and on facial image t=(u t, v t) tcorresponding summit is v tj, 1≤t≤k wherein, k is the number of unique point on described facial image.
3. human face animation synthetic method as claimed in claim 2, is characterized in that: adopt optimization energy function:
f(v)＝argmin(||p t-(v tj) 1:2||)，
Find two-dimensional coordinate and p that optimum three-dimensional point makes its summit tthe most approaching.
4. human face animation synthetic method as claimed in claim 3, it is characterized in that: take above-mentioned energy function as basis, the optimized algorithm of utilization based on sparse linear model, all unique points are regarded as to an integral body, and be combined into a sparse shape vector, then utilize the priori in training storehouse to have the data of disappearance to carry out overall estimation to sparse vector, thereby obtain the class three-dimensional coordinate of unique point.
5. human face animation synthetic method as claimed in claim 4, is characterized in that: after obtaining class three-dimensional coordinate unique point, utilize the three-dimensional face model method for reconstructing based on unique point deformation techniques to carry out three-dimensional face model reconstruction.
6. human face animation synthetic method as claimed in claim 5, is characterized in that: the method that described three-dimensional face model is rebuild comprises:
If the l of model summit forms a three-dimensional point set and is: Q={x 1, x 2..., x l, being wherein marked on down k and take interiorly as estimating at the unique point of class three-dimensional information, the optimization estimated value of the unique point of class three-dimensional information is: Y={y 1, y 2..., y k, utilize following deformation techniques to estimate three-dimensional face model:
F ( x j ) = Σ i = 1 k w i Φ ( | | x j - y i | | ) + x j ,
Wherein, Φ () is radial basis function, w ifor weight.
7. human face animation synthetic method as claimed in claim 1, is characterized in that: describedly based on Facial Feature Analysis, carry out the synthetic step of front face cartoon effect and comprise:
The man face characteristic point positioning method of employing based on active shape model technology, and according to human eye feature anchor point carry out yardstick, rotational transform realizes normalization, the mode connecting by Bezier obtains the front face cartooning image of stick figure effect.
8. human face animation synthetic method as claimed in claim 1, is characterized in that: describedly based on described human face three-dimensional model, estimate and described front face cartoon effect composite diagram carries out the synthetic step of multi-pose Face cartoon effect and comprises:
Described front face cartoon effect composograph and three-dimensional face model are carried out respectively to Delaunay triangulation scheme, obtain after Delaunay triangulation result, in conjunction with the face characteristic in human face characteristic point and three-dimensional face model in front face cartoon effect composite diagram name a person for a particular job front face cartooning image as texture to the three-dimensional face model of estimating to obtain;
Thereby utilize how much rigid body translation matrixes in conjunction with parameter preset projection matrix, three-dimensional face model to be carried out to posture changing and project into two dimensional image obtaining the synthetic result of multi-pose Face cartoon effect.
9. human face animation synthetic method as claimed in claim 8, it is characterized in that: when carrying out Delaunay triangulation scheme, first the spot projection of three-dimensional face model is arrived to two dimensional image plane, in described two dimensional image plane, carry out again Delaunay triangulation, finally according to its annexation, determine the annexation of three dimensions mid point.
10. human face animation synthetic method as claimed in claim 1, it is characterized in that: after obtaining the synthetic result of multi-pose Face cartoon effect, according to leading role's facial pose in described default animated video material, select the synthetic result of corresponding human face cartoon caricature effect to replace original leading role, obtain the animated video of human face cartoon effect.
11. human face animation synthetic methods as claimed in claim 10, is characterized in that: utilize and minimize objective function:
arg min I ∫ | | ▿ I - v | | 2 ,
Head portrait and the background of replacing are smoothly merged, and wherein I be the image after smoothly, and v is the gradient fields of former cartoon image.
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CN105118082A (en) * 2015-07-30 2015-12-02 科大讯飞股份有限公司 Personalized video generation method and system
CN107067429A (en) * 2017-03-17 2017-08-18 徐迪 Video editing system and method that face three-dimensional reconstruction and face based on deep learning are replaced
CN107105310A (en) * 2017-05-05 2017-08-29 广州盈可视电子科技有限公司 Figure image replacement method, device and a kind of recording and broadcasting system in a kind of net cast
CN107845127A (en) * 2017-12-02 2018-03-27 天津浩宝丰科技有限公司 A kind of human face cartoon animation image design method
CN108122271A (en) * 2017-12-15 2018-06-05 南京变量信息科技有限公司 A kind of description photo automatic generation method and device
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CN109584145A (en) * 2018-10-15 2019-04-05 深圳市商汤科技有限公司 Cartoonize method and apparatus, electronic equipment and computer storage medium
CN110941332A (en) * 2019-11-06 2020-03-31 北京百度网讯科技有限公司 Expression driving method and device, electronic equipment and storage medium
CN111614925A (en) * 2020-05-20 2020-09-01 广州视源电子科技股份有限公司 Figure image processing method and device, corresponding terminal and storage medium
CN113592988A (en) * 2021-08-05 2021-11-02 北京奇艺世纪科技有限公司 Three-dimensional virtual character image generation method and device
CN114026524A (en) * 2019-07-03 2022-02-08 罗布乐思公司 Animated human face using texture manipulation

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Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104200505A (en) * 2014-08-27 2014-12-10 西安理工大学 Cartoon-type animation generation method for human face video image
CN104537716B (en) * 2015-01-20 2018-01-26 湖南化身科技有限公司 The synthesis system of 3-dimensional digital portrait and virtual scene
CN104537716A (en) * 2015-01-20 2015-04-22 湖南化身科技有限公司 System for synthesizing three-dimensional digital human image and virtual scene
CN105118082A (en) * 2015-07-30 2015-12-02 科大讯飞股份有限公司 Personalized video generation method and system
CN107067429A (en) * 2017-03-17 2017-08-18 徐迪 Video editing system and method that face three-dimensional reconstruction and face based on deep learning are replaced
CN107105310B (en) * 2017-05-05 2020-07-10 广州盈可视电子科技有限公司 Human image replacing method and device in video live broadcast and recording and broadcasting system
CN107105310A (en) * 2017-05-05 2017-08-29 广州盈可视电子科技有限公司 Figure image replacement method, device and a kind of recording and broadcasting system in a kind of net cast
CN107845127A (en) * 2017-12-02 2018-03-27 天津浩宝丰科技有限公司 A kind of human face cartoon animation image design method
CN108122271A (en) * 2017-12-15 2018-06-05 南京变量信息科技有限公司 A kind of description photo automatic generation method and device
CN108629821A (en) * 2018-04-20 2018-10-09 北京比特智学科技有限公司 Animation producing method and device
CN108682030A (en) * 2018-05-21 2018-10-19 北京微播视界科技有限公司 Face replacement method, device and computer equipment
CN109584145A (en) * 2018-10-15 2019-04-05 深圳市商汤科技有限公司 Cartoonize method and apparatus, electronic equipment and computer storage medium
CN114026524A (en) * 2019-07-03 2022-02-08 罗布乐思公司 Animated human face using texture manipulation
CN114026524B (en) * 2019-07-03 2024-03-29 罗布乐思公司 Method, system, and computer-readable medium for animating a face
CN110941332A (en) * 2019-11-06 2020-03-31 北京百度网讯科技有限公司 Expression driving method and device, electronic equipment and storage medium
CN111614925A (en) * 2020-05-20 2020-09-01 广州视源电子科技股份有限公司 Figure image processing method and device, corresponding terminal and storage medium
CN113592988A (en) * 2021-08-05 2021-11-02 北京奇艺世纪科技有限公司 Three-dimensional virtual character image generation method and device
CN113592988B (en) * 2021-08-05 2023-06-30 北京奇艺世纪科技有限公司 Three-dimensional virtual character image generation method and device

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