CN109671148A - A kind of human face three-dimensional model automatic generation method with dynamic expression movement - Google Patents

A kind of human face three-dimensional model automatic generation method with dynamic expression movement Download PDF

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CN109671148A
CN109671148A CN201910079081.1A CN201910079081A CN109671148A CN 109671148 A CN109671148 A CN 109671148A CN 201910079081 A CN201910079081 A CN 201910079081A CN 109671148 A CN109671148 A CN 109671148A
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face model
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CN109671148B (en
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何懂
喻晓
彭海林
张青松
刘梦龙
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SHENZHEN ESUN DISPLAY CO Ltd
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    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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Abstract

The present invention provides a kind of human face three-dimensional model automatic generation method with dynamic expression movement, comprising the following steps: makes the standard three-dimensional faceform with movement expression, the three-dimensional vertices P in record standard three-dimensional face modelm, and mark the first key point O in standard three-dimensional faceformm；Static three-dimensional faceform is obtained using structural light three-dimensional scanning system, records the three-dimensional vertices P in static three-dimensional faceformn, and mark the second key point in static three-dimensional faceform；By by static three-dimensional faceform the second key point and standard three-dimensional faceform in the first key point OmIt is corresponding to be overlapped, using Principal Component Analysis by the three-dimensional vertices P in standard faces modelmIt is matched to the three-dimensional vertices P of static three-dimensional faceformnIn, realize that static three-dimensional faceform is merged with standard three-dimensional faceform.Human face three-dimensional model automatic generation method provided by the invention with dynamic expression movement, it is easy to use, producing efficiency is high.

Description

A kind of human face three-dimensional model automatic generation method with dynamic expression movement
[technical field]
The present invention relates to technical field of computer vision more particularly to a kind of face three-dimensional moulds with dynamic expression movement Type automatic generation method.
[background technique]
With the development of computer graphics techniques, three-dimensional face modeling and the three-dimensional face model with facial expressions and acts become One research hotspot of field of Computer Graphics.Three-dimensional face modeling and the three-dimensional face model with facial expressions and acts gradually by It promotes and applies to numerous areas such as virtual reality, production of film and TV, recognition of face, Entertainments, there is very strong application value.
The method that three-dimensional face model with facial expressions and acts generates at present are as follows: obtained by structured light three-dimensional imaging equipment Static Human Face threedimensional model (referring in particular to CN106164979A) then recycles animation soft (such as U.S. Autodesk The Maya software of company) it is acted manually to the binding of Static Human Face model, make the three-dimensional face with facial expressions and acts.But Movement binding is carried out by Three-dimensional Animation Software, is appropriate only for the three-dimensional face production of single facial expressions and acts；In large batch of table The three-dimensional face production of feelings movement, such as personalized face three-dimensional expression production (are embodied in same static three-dimensional model Binding covers facial expressions and acts), the role switching in personalized three-dimensional game updates and (is embodied in different static models bindings Identical facial expressions and acts) etc. application in, by animation soft carry out movement binding have considerable repetitive operation, make Time length, low efficiency.
In consideration of it, it is really necessary to provide a kind of new human face three-dimensional model automatic generation method with dynamic expression movement To overcome drawbacks described above.
[summary of the invention]
The object of the present invention is to provide a kind of easy to use, three-dimensional face model expression that producing efficiency is high sides of binding automatically Method.
To achieve the goals above, the present invention provide it is a kind of with dynamic expression movement human face three-dimensional model automatically generate Method, comprising the following steps:
S1 makes the standard three-dimensional faceform with movement expression, the three-dimensional top in record standard three-dimensional face model Point Pm, and mark the first key point O in standard three-dimensional faceformm；
S2 obtains static three-dimensional faceform using structural light three-dimensional scanning system, records in static three-dimensional faceform Three-dimensional vertices Pn, and mark the second key point in static three-dimensional faceform；
S3, by the way that first in the second key point and standard three-dimensional faceform in static three-dimensional faceform is crucial Point OmIt is corresponding to be overlapped, using Principal Component Analysis by the three-dimensional vertices P in standard faces modelmIt is matched to static three-dimensional face mould The three-dimensional vertices P of typenIn, realize that static three-dimensional faceform is merged with standard three-dimensional faceform.
In a preferred embodiment, the prenasale of the standard three-dimensional faceform is the first key point Om, described The prenasale of static three-dimensional faceform is the second key point On。
In a preferred embodiment, by by the second key point in static three-dimensional faceform described in step S3 With the first key point O in standard three-dimensional faceformmIt is corresponding be overlapped the following steps are included:
S31, respectively with the first key point O of standard three-dimensional faceformmCentered on point, static three-dimensional faceform Two key point OnCentered on point, take the three-dimensional vertices P of standard three-dimensional faceform Yu static three-dimensional faceform respectivelym、Pn；
S32, by principal component analysis system, respectively by the three-dimensional top of standard three-dimensional faceform and static three-dimensional faceform Point Pm、PnIt is reduced to 2 D vertex data；In Two dimensional Distribution, the standard system of standard three-dimensional faceform is Om-XmYmZm, static state three The standard system for tieing up faceform is On-XnYnZn
Then the standard system of static three-dimensional faceform is O by S33n-XnYnZnBecome by spin matrix R, transfer matrix T It changes so that On-XnYnZnStandard system with standard three-dimensional faceform is Om-XmYmZmIt is overlapped.
In a preferred embodiment, described in step S32 in Two dimensional Distribution, the standard of standard three-dimensional faceform System is Om-XmYmZm, the standard system of static three-dimensional faceform is On-XnYnZnDetailed process are as follows:
Standard three-dimensional faceform is to cross the first key point O in standard three-dimensional faceform front viewmLine of symmetry be Ym Axis, excessively corresponding first key point OmAnd vertical YmThe straight line of axis is XmAxis is respectively perpendicular YmAxis, XmThe straight line of axis is ZmAxis is established The standard system of standard three-dimensional faceform is Om-XmYmZm；
Static three-dimensional faceform is to cross the second key point O in static three-dimensional faceform's front viewnLine of symmetry be Yn Axis crosses the second key point OnAnd vertical YnThe straight line of axis is XnAxis is respectively perpendicular YnAxis, XnThe straight line of axis is ZnAxis establishes standard The standard system of three-dimensional face model is On-XnYnZn。
In a preferred embodiment, it is described using Principal Component Analysis by the three-dimensional vertices P in standard faces modelm It is matched to the three-dimensional vertices P of static three-dimensional faceformnIn the following steps are included:
S34, static three-dimensional faceform is with the first key point OmFor the center of circle, rmFor the ball internal cutting of the radius of a ball, by static state three Dimension faceform's is cut into the effective coverage that can cover face's main feature；
S35, each three-dimensional vertices P of standard three-dimensional faceformmAlong corresponding normal orientation, in static three-dimensional face mould The three-dimensional vertices P of nearest static three-dimensional faceform is searched in the corresponding effective coverage that can cover face's main feature of typen；
S36, then by the three-dimensional vertices P of static three-dimensional faceformnIn three-dimensional vertices PmThrowing in corresponding normal orientation Shadow is as the corresponding points in three-dimensional face model after fusion.
In a preferred embodiment, the standard three-dimensional faceform includes colorful three-dimensional model file and movement text Part；The colorful three-dimensional model file includes the three-dimensional vertices P in standard faces modelmTriangle list, normal direction list, line Reason and texture picture；The motion file includes the three-dimensional vertices P in standard faces modelmBinding relationship and movement with movement The direction of motion.
In a preferred embodiment, static three-dimensional people is obtained using structural light three-dimensional scanning system described in step S2 Face model the following steps are included:
S21 orients the 2 D vertex in static three-dimensional faceform's image；
S22 orients three-dimensional vertices corresponding with the 2 D vertex in step S21 in static three-dimensional faceform's image Pn；
S23 utilizes the three-dimensional vertices P in S2nThe shape similarity metric coefficient of weighted calculation static three-dimensional faceform, Yi Jicheng As model parameter；
S24 using reconstructed coefficients and three-dimensional deformation model sub-unit synthesis three-dimensional face shape and is merged；
S25 extracts three-dimensional face texture using imaging model and facial symmetry.
Human face three-dimensional model automatic generation method provided by the invention with dynamic expression movement, by by standard three-dimensional Three-dimensional vertices P in faceformmWith the three-dimensional vertices P in static three-dimensional faceformnFusion is corresponded, so that static state three Tie up the three-dimensional vertices P in faceformnInherit the three-dimensional vertices P in standard three-dimensional faceformmColorful three-dimensional model file and Motion file, and then three-dimensional face model dynamic expression automatically generates.People provided by the invention with dynamic expression movement Face three-dimensional model automatic generation method, it is easy to use, producing efficiency is high.
[Detailed description of the invention]
Fig. 1 is the schematic diagram of the human face three-dimensional model automatic generation method provided by the invention with dynamic expression movement.
Fig. 2 is the schematic diagram of standard three-dimensional faceform provided by the invention.
Fig. 3 is the schematic diagram of static three-dimensional faceform provided by the invention.
Fig. 4 is standard three-dimensional faceform provided by the invention and the fused schematic diagram of static three-dimensional faceform.
Fig. 5 is standard three-dimensional faceform shown in Fig. 4 and the fused schematic diagram of static three-dimensional faceform.
[specific embodiment]
It is clear in order to be more clear the purpose of the present invention, technical solution and advantageous effects, below in conjunction with attached drawing and Specific embodiment, the present invention will be described in further detail.It should be understood that specific implementation described in this specification Mode is not intended to limit the present invention just for the sake of explaining the present invention.
Fig. 1 to Fig. 4 is please referred to, the present invention provides a kind of human face three-dimensional model side of automatically generating with dynamic expression movement Method, comprising the following steps:
S1 makes the standard three-dimensional faceform with movement expression, the three-dimensional top in record standard three-dimensional face model Point Pm, and mark the first key point O in standard three-dimensional faceformm；
Specifically, the prenasale of the standard three-dimensional faceform is the first key point O in step S1m。
The standard three-dimensional faceform includes colorful three-dimensional model file and motion file；The colorful three-dimensional model text Part includes the three-dimensional vertices P in standard faces modelmTriangle list, normal direction list, texture and texture picture；The movement File includes the three-dimensional vertices P in standard faces modelmWith the binding relationship of movement and the direction of motion of movement.
S2 obtains static three-dimensional faceform using structural light three-dimensional scanning system, records in static three-dimensional faceform Three-dimensional vertices Pn, and mark the second key point O in static three-dimensional faceformn；
Specifically, the prenasale of the static three-dimensional faceform is the second key point O in step S2n。
Described in step S2 using structural light three-dimensional scanning system obtain static three-dimensional faceform the following steps are included:
S21 orients the 2 D vertex in static three-dimensional faceform's image；
S22 orients three-dimensional vertices corresponding with the 2 D vertex in step S21 in static three-dimensional faceform's image Pn；
S23 utilizes the three-dimensional vertices P in S2nThe shape similarity metric coefficient of weighted calculation static three-dimensional faceform, Yi Jicheng As model parameter；
S24 using reconstructed coefficients and three-dimensional deformation model sub-unit synthesis three-dimensional face shape and is merged；
S25 extracts three-dimensional face texture using imaging model and facial symmetry.
S3, by by the second key point O in static three-dimensional faceformnIt is closed with first in standard three-dimensional faceform Key point OmIt is corresponding to be overlapped, using Principal Component Analysis by the three-dimensional vertices P in standard faces modelmIt is matched to static three-dimensional face The three-dimensional vertices P of modelnIn, realize that static three-dimensional faceform is merged with standard three-dimensional faceform.
Specifically, by by the second key point O in static three-dimensional faceform described in step S3nWith standard three-dimensional people The first key point O in face modelmIt is corresponding be overlapped the following steps are included:
S31, respectively with the first key point O of standard three-dimensional faceformmCentered on point, static three-dimensional faceform Two key point OnCentered on point, take the three-dimensional vertices P of standard three-dimensional faceform Yu static three-dimensional faceform respectivelym、Pn；
S32, by principal component analysis system, respectively by the three-dimensional top of standard three-dimensional faceform and static three-dimensional faceform Point Pm、PnIt is reduced to 2 D vertex data；In Two dimensional Distribution, the standard system of standard three-dimensional faceform is Om-XmYmZm, static state three The standard system for tieing up faceform is On-XnYnZn
Then the standard system of static three-dimensional faceform is O by S33n-XnYnZnBecome by spin matrix R, transfer matrix T It changes so that On-XnYnZnStandard system with standard three-dimensional faceform is Om-XmYmZmIt is overlapped.
Further, described in step S32 in Two dimensional Distribution, the standard system of standard three-dimensional faceform is Om- XmYmZm, the standard system of static three-dimensional faceform is On-XnYnZnDetailed process are as follows:
Standard three-dimensional faceform is to cross the first key point O in standard three-dimensional faceform front viewmLine of symmetry be Ym Axis, excessively corresponding first key point OmAnd vertical YmThe straight line of axis is XmAxis is respectively perpendicular YmAxis, XmThe straight line of axis is ZmAxis is established The standard system of standard three-dimensional faceform is Om-XmYmZm；
Static three-dimensional faceform is to cross the second key point O in static three-dimensional faceform's front viewnLine of symmetry be Yn Axis crosses the second key point OnAnd vertical YnThe straight line of axis is XnAxis is respectively perpendicular YnAxis, XnThe straight line of axis is ZnAxis establishes standard The standard system of three-dimensional face model is On-XnYnZn。
Referring to figure 5., utilize Principal Component Analysis by the three-dimensional vertices P in standard faces model described in step S3m? It is fitted on the three-dimensional vertices P of static three-dimensional faceformnIn the following steps are included:
S34, static three-dimensional faceform is with the first key point OmFor the center of circle, rmFor the ball internal cutting of the radius of a ball, by static state three Dimension faceform's is cut into multiple effective coverages that can cover face's main feature；
S35, each three-dimensional vertices P of standard three-dimensional faceformmAlong corresponding normal orientation, in static three-dimensional face mould The three-dimensional vertices P of nearest static three-dimensional faceform is searched in the corresponding effective coverage that can cover face's main feature of typen；
S36, then by the three-dimensional vertices P of static three-dimensional faceformnIn three-dimensional vertices PmThrowing in corresponding normal orientation Shadow is as the corresponding points in three-dimensional face model after fusion.
Specifically, the three-dimensional vertices P of standard three-dimensional faceformmIncluding Pm1、Pm2、Pm3Deng static three-dimensional faceform's Three-dimensional vertices PnIncluding Pn1、Pn2、Pn3Deng the three-dimensional vertices P of standard three-dimensional faceformm1、Pm2、Pm3Deng respectively with static three-dimensional The three-dimensional vertices P of faceformn1、Pn2、Pn3Deng one-to-one correspondence, and then form the corresponding points in fused three-dimensional face model Px1、Px2、Px3.Corresponding points P after fusion in three-dimensional face modelx1Inherit Pm1Colorful three-dimensional model file and motion file, Inherit P again simultaneouslyn1Color texture and three-dimensional appearance, and then realize that dimension faceform dynamic expression automatically generates.
Human face three-dimensional model automatic generation method provided by the invention with dynamic expression movement, by by standard three-dimensional Three-dimensional vertices P in faceformmWith the three-dimensional vertices P in static three-dimensional faceformnFusion is corresponded, so that static state three Tie up the three-dimensional vertices P in faceformnInherit the three-dimensional vertices P in standard three-dimensional faceformmColorful three-dimensional model file and Motion file, and then three-dimensional face model dynamic expression automatically generates.People provided by the invention with dynamic expression movement Face three-dimensional model automatic generation method, it is easy to use, producing efficiency is high.
The present invention is not only in the description and the implementation described, therefore for the personnel of familiar field Other advantage and modification is easily implemented, therefore in the essence without departing substantially from universal defined by claim and equivalency range In the case where mind and range, the present invention is not limited to specific details, representative equipment and diagrams shown and described herein Example.

Claims (7)

1.一种具有动态表情动作的人脸三维模型自动生成方法，其特征在于，包括以下步骤：1. a method for automatically generating a three-dimensional face model with dynamic facial expressions, is characterized in that, comprises the following steps: S1，制作具有动作表情的标准三维人脸模型，记录标准三维人脸模型中的三维顶点Pm，并标记标准三维人脸模型中的第一关键点Om；S1, making a standard three-dimensional face model with action expressions, recording the three-dimensional vertex P m in the standard three-dimensional face model, and marking the first key point O m in the standard three-dimensional face model; S2，利用结构光三维扫描系统获取静态三维人脸模型，记录静态三维人脸模型中的三维顶点Pn，并标记静态三维人脸模型中的第二关键点；S2, using a structured light three-dimensional scanning system to acquire a static three-dimensional face model, record the three-dimensional vertex P n in the static three-dimensional face model, and mark the second key point in the static three-dimensional face model; S3，通过将静态三维人脸模型中的第二关键点与标准三维人脸模型中的第一关键点Om对应重合，利用主成分分析法将标准人脸模型中的三维顶点Pm匹配到静态三维人脸模型的三维顶点Pn中，实现静态三维人脸模型与标准三维人脸模型融合。S3, by correspondingly overlapping the second key point in the static three-dimensional face model and the first key point O m in the standard three-dimensional face model, using the principal component analysis method to match the three-dimensional vertex P m in the standard face model to In the three-dimensional vertex P n of the static three-dimensional face model, the fusion of the static three-dimensional face model and the standard three-dimensional face model is realized. 2.如权利要求1所述的具有动态表情动作的人脸三维模型自动生成方法，其特征在于，所述标准三维人脸模型的鼻尖点为第一关键点Om，所述静态三维人脸模型的的鼻尖点为第二关键点On。2. the automatic generation method of the three-dimensional human face model with dynamic expression action as claimed in claim 1, is characterized in that, the nose tip point of described standard three-dimensional human face model is the first key point O m , and described static three-dimensional human face The nose tip of the model is the second key point On . 3.如权利要求2所述的具有动态表情动作的人脸三维模型自动生成方法，其特征在于，步骤S3中所述通过将静态三维人脸模型中的第二关键点与标准三维人脸模型中的第一关键点Om对应重合包括以下步骤：3. the automatic generation method of the three-dimensional human face model with dynamic expression action as claimed in claim 2, is characterized in that, described in step S3 by the second key point in the static three-dimensional human face model and the standard three-dimensional human face model The first key point O m in the corresponding coincidence includes the following steps: S31，分别以标准三维人脸模型的第一关键点Om为中心点、静态三维人脸模型的第二关键点On为中心点，分别取标准三维人脸模型与静态三维人脸模型的三维顶点Pm、Pn；S31, take the first key point O m of the standard three-dimensional face model as the center point and the second key point O n of the static three-dimensional face model as the center point, respectively take the standard three-dimensional face model and the static three-dimensional face model three-dimensional vertices P m , P n ; S32，通过主成分分析系，分别将标准三维人脸模型与静态三维人脸模型的三维顶点Pm、Pn降为二维顶点数据；在二维分布中，标准三维人脸模型的标准系为Om-XmYmZm，静态三维人脸模型的标准系为On-XnYnZn S32, through the principal component analysis system, the three-dimensional vertices P m and P n of the standard three-dimensional face model and the static three-dimensional face model are respectively reduced to two-dimensional vertex data; in the two-dimensional distribution, the standard system of the standard three-dimensional face model is is O m -X m Y m Z m , and the standard system of the static three-dimensional face model is O n -X n Y n Z n S33，然后将静态三维人脸模型的标准系为On-XnYnZn通过旋转矩阵R、转移矩阵T变换使得On-XnYnZn与标准三维人脸模型的标准系为Om-XmYmZm重合。S33, then the standard system of the static three-dimensional face model is O n -X n Y n Z n through the transformation of the rotation matrix R and the transition matrix T so that the standard system of O n -X n Y n Z n and the standard three-dimensional face model Coincidence is O m -X m Y m Z m . 4.如权利要求3所述的具有动态表情动作的人脸三维模型自动生成方法，其特征在于，步骤S32中所述在二维分布中，标准三维人脸模型的标准系为Om-XmYmZm，静态三维人脸模型的标准系为On-XnYnZn的具体过程为：4. the automatic generation method of the three-dimensional human face model with dynamic expression action as claimed in claim 3, is characterized in that, described in step S32 in two-dimensional distribution, the standard system of standard three-dimensional human face model is 0 m -X m Y m Z m , the standard system of the static three-dimensional face model is O n -X n Y n Z n The specific process is: 标准三维人脸模型以标准三维人脸模型正视图中过第一关键点Om的对称线为Ym轴，过对应第一关键点Om且垂直Ym轴的直线为Xm轴，分别垂直Ym轴、Xm轴的直线为Zm轴，建立标准三维人脸模型的标准系为Om-XmYmZm；The standard three-dimensional face model takes the symmetry line passing through the first key point O m in the front view of the standard three-dimensional face model as the Y m axis, and the straight line corresponding to the first key point O m and perpendicular to the Y m axis is the X m axis, respectively. The straight line perpendicular to the Y m axis and the X m axis is the Z m axis, and the standard system for establishing the standard three-dimensional face model is O m -X m Y m Z m ; 静态三维人脸模型以静态三维人脸模型正视图中过第二关键点On的对称线为Yn轴，过第二关键点On且垂直Yn轴的直线为Xn轴，分别垂直Yn轴、Xn轴的直线为Zn轴，建立标准三维人脸模型的标准系为On-XnYnZn。The static 3D face model takes the line of symmetry passing through the second key point O n in the front view of the static 3D face model as the Y n axis, and the straight line passing through the second key point O n and perpendicular to the Y n axis is the X n axis, respectively vertical The straight line of the Y n axis and the X n axis is the Z n axis, and the standard system for establishing the standard three-dimensional face model is O n -X n Y n Z n . 5.如权利要求3所述的具有动态表情动作的人脸三维模型自动生成方法，其特征在于，步骤S3中所述利用主成分分析法将标准人脸模型中的三维顶点Pm匹配到静态三维人脸模型的三维顶点Pn中包括以下步骤：5. the automatic generation method of the three-dimensional model of human face with dynamic expression action as claimed in claim 3, is characterized in that, described in step S3 utilizes principal component analysis method to match the three-dimensional vertex P m in the standard human face model to static state The three-dimensional vertex P n of the three-dimensional face model includes the following steps: S34，静态三维人脸模型以第一关键点Om为圆心，rm为球半径的球内切割，将静态三维人脸模型的切割为能涵盖脸部主要特征的有效区域；S34, the static three-dimensional face model takes the first key point O m as the center of the circle, and r m is the in-sphere cutting of the spherical radius, and the static three-dimensional face model is cut into an effective area that can cover the main features of the face; S35，标准三维人脸模型的每个三维顶点Pm沿对应的法向方向，在静态三维人脸模型对应的能涵盖脸部主要特征的有效区域内查找最近的静态三维人脸模型的三维顶点Pn；S35, each 3D vertex P m of the standard 3D face model searches for the nearest 3D vertex of the static 3D face model in the effective area corresponding to the static 3D face model that can cover the main features of the face along the corresponding normal direction P n ; S36，再将静态三维人脸模型的三维顶点Pn在三维顶点Pm沿对应的法向方向上的投影作为融合后三维人脸模型中的对应点。S36, the projection of the three-dimensional vertex P n of the static three-dimensional face model on the three-dimensional vertex P m along the corresponding normal direction is used as the corresponding point in the fused three-dimensional face model. 6.如权利要求1所述的具有动态表情动作的人脸三维模型自动生成方法，其特征在于，所述标准三维人脸模型包括彩色三维模型文件及动作文件；所述彩色三维模型文件包括标准人脸模型中的三维顶点Pm的三角形列表、法向列表、纹理及纹理图片；所述动作文件包括标准人脸模型中的三维顶点Pm与动作的绑定关系及动作的运动方向。6. The method for automatically generating a three-dimensional face model with dynamic facial expressions as claimed in claim 1, wherein the standard three-dimensional face model comprises a color three-dimensional model file and an action file; the color three-dimensional model file includes a standard three-dimensional model file. Triangle list, normal list, texture and texture picture of the three-dimensional vertex P m in the face model; the action file includes the binding relationship between the three-dimensional vertex P m in the standard face model and the action and the movement direction of the action. 7.如权利要求1所述的具有动态表情动作的人脸三维模型自动生成方法，其特征在于，7. the automatic generation method of the three-dimensional model of human face with dynamic expression action as claimed in claim 1, is characterized in that, 步骤S2中所述利用结构光三维扫描系统获取静态三维人脸模型包括以下步骤：Using the structured light 3D scanning system to obtain a static 3D face model described in step S2 includes the following steps: S21，定位出静态三维人脸模型图像中的二维顶点；S21, locating the two-dimensional vertices in the static three-dimensional face model image; S22，定位出静态三维人脸模型图像中与步骤S21中的二维顶点对应的三维顶点Pn；S22, locate the three-dimensional vertex P n corresponding to the two-dimensional vertex in step S21 in the static three-dimensional face model image; S23，利用S2中的三维顶点Pn加权计算静态三维人脸模型的形状重建系数，以及成像模型参数；S23, using the three-dimensional vertex P n in S2 to weight the shape reconstruction coefficient of the static three-dimensional face model, and the imaging model parameters; S24，利用重建系数和三维形变模型分部件合成三维人脸形状并进行融合；S24, using the reconstruction coefficient and the three-dimensional deformation model to synthesize and fuse the three-dimensional face shape in parts; S25，利用成像模型和人脸对称性提取三维人脸纹理。S25, extracting the three-dimensional face texture by using the imaging model and the face symmetry.
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