WO2012171312A1 - Procédé de codage multirésolution continue de modèle de maillage tridimensionnel exploité par terminal universel - Google Patents
Procédé de codage multirésolution continue de modèle de maillage tridimensionnel exploité par terminal universel Download PDFInfo
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- WO2012171312A1 WO2012171312A1 PCT/CN2011/084594 CN2011084594W WO2012171312A1 WO 2012171312 A1 WO2012171312 A1 WO 2012171312A1 CN 2011084594 W CN2011084594 W CN 2011084594W WO 2012171312 A1 WO2012171312 A1 WO 2012171312A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
- G06T17/205—Re-meshing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2210/00—Indexing scheme for image generation or computer graphics
- G06T2210/08—Bandwidth reduction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2210/00—Indexing scheme for image generation or computer graphics
- G06T2210/36—Level of detail
Definitions
- the invention relates to the technical field of multi-resolution modeling and reconstruction of a three-dimensional mesh model, in particular to a multi-resolution modeling and reconstruction technology in the field of mobile graphics, in particular to a continuous multi-resolution of a three-dimensional mesh model for a universal terminal. Rate coding method. Background technique
- Multi-resolution modeling techniques are a better solution.
- Multi-resolution representation techniques use a uniform data structure to characterize model representations of varying degrees of sophistication.
- the specific fineness can be controlled by a variable.
- a simplified model result of a certain degree of fineness can be obtained, thereby dynamically and randomly generating a three-dimensional mesh model of different fineness according to the user's needs.
- the cone judgment strategy also known as the viewpoint-based hierarchical detail model selection strategy, is mainly to roughen the hierarchical detail model outside the cone;
- the backside judgment strategy which coarsens the hierarchical detail model facing away from the line of sight
- the area judgment strategy refines the hierarchical detail model with a large projected area of the screen space
- a contour retention strategy that refines the hierarchical detail model located near the contour
- the curvature judgment strategy refines the area where the curvature changes greatly.
- the biggest problem caused by the above-mentioned viewpoint-based hierarchical detail model selection strategy is that the amount of calculation is too large to be applicable to a pervasive computing environment with limited hardware computing power.
- the hardware performance of the rendering platform such as the screen size of the mobile terminal, is not fully considered from the perspective of controlling the error of the model. Not the same as the actual situation.
- the object of the present invention is to overcome the deficiencies of the prior art.
- the present invention provides a three-dimensional mesh model continuous multi-resolution coding method for a universal terminal, and constructs a multi-resolution mesh model by folding the mesh, and Record the area of the two triangular patches removed by the edge folding operation to achieve a mesh model that can be applied to any topological structure, and to provide an error-controlled continuous resolution mesh.
- the present invention provides a continuous multi-resolution coding method for a three-dimensional mesh model of a universal terminal, the method comprising:
- the server side uses a feature-enhanced quadratic error measure method to simplify the mesh model; the server side constructs a multi-resolution mesh structure with continuously adjustable resolution based on the above simplified process;
- the universal terminal determines, according to the resolution of the terminal screen and the resolution information carried by the grid structure, The resolution size of the resolution grid structure.
- the step of simplifying the mesh model by using the feature-enhanced quadratic error measurement method on the server side comprises:
- All mesh edges are sorted according to the size of the quadratic error measure value corresponding to each feature of the mesh edge, and the edge with the smallest quadratic error measure value is deleted and a new network model is obtained; It is judged whether the detailed information of the new network model is simplified, and if so, the simplification process is ended and the most basic base network M is obtained . If not, return to continue to calculate the corresponding discrete mean curvature value and quadratic error measure value at the vertices of each mesh.
- the step of constructing, by the server side, the continuously adjustable multi-resolution grid structure based on the simplified process described above comprises:
- the most simplified base mesh for recording simplification is M . ;
- the step of determining, by the ubiquitous terminal, the resolution size corresponding to the received multi-resolution grid structure according to the resolution size of the terminal screen and the resolution information carried by the grid structure comprises:
- the ubiquitous terminal calculates an area corresponding to each pixel according to the envelope box size and the display resolution of the terminal screen according to the envelope box size of the most simplified base network calculation model received from the server end;
- the multi-resolution grid structure with continuously adjustable resolution is transmitted to the ubiquitous terminal by a progressive transmission method over a wireless network.
- the resolution of the grid model is recorded by the average area of the deleted triangle corresponding to the edge folding operation, and then adaptive according to the screen resolution information of the terminal.
- the mesh model resolution is selected, so that the model resolution does not match the screen resolution.
- FIG. 1 is a schematic flow chart of a three-dimensional mesh model continuous multi-resolution encoding method according to an embodiment of the present invention
- FIG. 2 is a schematic flowchart of a specific embodiment of the method of the present invention
- 3a, 3b, 3c, and 3d are diagrams showing the effect of binarization and resolution selection using the three-dimensional mesh model continuous multi-resolution encoding method of the embodiment of the present invention. detailed description
- FIG. 1 is a schematic flowchart of a three-dimensional mesh model continuous multi-resolution encoding method according to an embodiment of the present invention. As shown in FIG. 1, the method includes:
- the server side uses a feature-enhanced quadratic error measure method to simplify the mesh model
- the server side constructs a multi-resolution mesh structure with continuously adjustable resolution based on the above simplified process
- the server end transmits the continuously adjustable multi-resolution grid structure to the universal terminal;
- the ubiquitous terminal determines, according to the resolution of the terminal screen and the resolution information carried by the grid structure, the resolution size corresponding to the received multi-resolution grid structure.
- S101 may further include:
- S102 includes:
- the most simplified base mesh for recording simplification is M .
- the S103 can be implemented by: transmitting a continuously adjustable multi-resolution grid structure to a ubiquitous terminal by a progressive transmission method over a wireless network.
- S104 includes:
- the most simplified universal terminal receives from a network-based server ⁇ . Calculating the envelope size of the model, and calculating the area corresponding to each pixel according to the size of the envelope box and the display resolution of the terminal screen;
- the highest resolution model that can be displayed on the current universal terminal screen is obtained.
- the feature-enhanced edge folding simplification process used in the embodiment of the present invention is as follows: Step 1: Calculate a corresponding discrete mean curvature value of each mesh vertex;
- Step 2 Calculate the corresponding quadratic error measure value of each mesh vertex
- Step 3 Calculate a quadratic error measure value based on the feature enhancement corresponding to each mesh edge according to the discrete mean curvature value and the quadratic error measure value corresponding to each vertex;
- Step 4 Sort the mesh edges according to the quadratic error measure value corresponding to the feature enhancement corresponding to the mesh edge, and perform the edge folding operation on the edge with the smallest quadratic error measure value to obtain a new mesh model, and repeat step 1 4, until the base of the most simplified mesh ⁇ . ; (continue to simplify the larger features or contour information that will lose the mesh model);
- Step 5 Record the minimum information required to restore each edge folding simplification operation and the average area of the triangular patches removed by the edge folding operation;
- Step 6 According to the grid-based process corresponding to the base mesh and step 5 and the corresponding resolution information, construct a multi-resolution grid structure with continuously varying resolutions " 3 ⁇ 4 ? ⁇ , ⁇ , ⁇ ..., ⁇ .
- the vertices corresponding to the contracted edges are adjacent to (A) Vertex v ' and ⁇ ' ⁇ , the type corresponding to the edge contraction (whether it is the boundary edge), and the resolution information corresponding to the mesh model obtained after the current operation.
- the resolution information corresponding to the mesh model is defined as follows:
- R i , where 4 is the average area of the triangular patches deleted by the current edge folding operation.
- the application process can be divided into the following steps:
- Step 1 First, transmit the base grid over the wireless network on the server side;
- the average area of new triangles generated from the split operation to S P Ui '', 2 ,..., 4 may be greater than
- Step 3 When the ubiquitous terminal receives the detailed information z K Q ⁇ z ' ⁇ W, judges 4 and 3 according to the resolution information of the ⁇ record (that is, the average area of the triangular patches deleted by the corresponding edge folding operation 4) ⁇ The relationship between A, if 4 > 3x A, indicates that for the current mobile terminal, the recorded model details are necessary; if 4 ⁇ ⁇ 3 ⁇ , then for the current mobile terminal, The recorded model details have exceeded the resolution of the screen and stopped receiving data.
- the resolution information of the ⁇ record that is, the average area of the triangular patches deleted by the corresponding edge folding operation 4
- FIG. 2 is a schematic flow chart of a specific embodiment of the method of the present invention. As shown in FIG. 2, the method includes:
- the feature enhancement value corresponding to the edge folding simplification method in the method of the invention is applied to the grid The way the feature is described.
- the algorithm adds a vertex feature value based on the quadratic error measure to represent the vertex.
- the vertex feature value is given by the curvature of the vertex region and the sum of all its neighboring edge lengths.
- the feature area of the model surface usually corresponds to a large normal vector variation value, that is, the curvature is large. Therefore, the larger the curvature, the more the position of the vertex can represent the physical features of the model. The longer the side length adjacent to the vertex, the area affected by the vertex on the surface of the model: I or larger.
- the relative curvature at the vertex V can be calculated as follows:
- the quadratic error measure edge folding simplification process using this feature enhancement is performed in two steps: First, initial processing is required to calculate the quadratic error measure value and feature weight corresponding to each mesh vertex. And further derive the folding cost of each mesh edge and the position of the newly generated mesh vertex after folding. Then iteratively, the grid edges are sorted according to the folding cost, and a small top stack is built accordingly.
- the edge with the lowest cost of stacking is taken out for folding operation, and then the quadratic error measure and feature weight of the neighborhood vertices affected by this operation are updated, and the corresponding edge folding cost is recalculated. .
- the order of the edges to be folded in the heap is adjusted according to the new edge folding cost, and a small top stack is formed again.
- the side folding operation is repeated until the approximation model satisfying the simplified condition is obtained.
- each sorting operation essentially inserts several records into an ordered sequence and maintains the order of the resulting sequence. Therefore, in the algorithm of this paper, after all the meshing edge weightings are sorted for the first time, each sorting is no longer performed on all edges, except that all the V2 connected in the ordered edge table generated by the last sorting is deleted. Edge, then insert the newly generated edge orderly according to the weight value.
- the determination method of the new vertex will directly lead to the difference of the simplified error corresponding to the edge folding, thereby affecting the order of the edge folding during the model simplification process. And affect the accuracy of the final simplified model.
- the main principle for determining the position of a new vertex is to make the simplified model as close as possible to the original model.
- the structure of the progressive mesh model based on the above mesh simplification method is as follows:
- MultiR—M 0 , ⁇ split Q , split ⁇ split n ⁇ ] Where M.
- the simplified mesh model is obtained, and the information required for each step split operation and the corresponding resolution information are recorded and stored in an ordered linked list. + + ⁇ + ⁇ You can get a cylindrical mesh after performing the "- secondary edge shrink operation on the original mesh.
- the resolution information corresponding to the mesh model obtained after the current operation is performed.
- the vertex pair corresponding to the contracted edge ( V 1 ' V 2 ) corresponds to the geometric position information of the new vertex generated by the point splitting operation
- "two vertices adjacent to ( V I, V 2 ) V 'and V '" and "type corresponding to edge contraction” are used to restore the connection between the new vertex and the original mesh vertex.
- the resolution information corresponding to the mesh model obtained after the current operation is performed is used to quantize the resolution state corresponding to the current hierarchical detail model, and the mobile terminal adaptively selects an appropriate hierarchical detail model according to the resolution precision of the screen.
- Resolution information ' The definition is as follows:
- the three-dimensional mesh model continuous multi-resolution coding method of the embodiment of the present invention is terminal-oriented.
- FIG. 3a, 3b, 3c, 3d are diagrams of the binarization and resolution selection of the 3D mesh model continuous multi-resolution coding method according to the embodiment of the present invention, wherein FIG. 3a is an input initial 3D mesh model; 3b is the constraint posture; Fig. 3c is the deformation texture extracted by the method of the present invention; Fig. 3d is the result obtained after the deformation.
- the resolution of the grid model is recorded by the average area of the deleted triangle corresponding to the edge folding operation, and then adaptive according to the screen resolution information of the terminal.
- the mesh model resolution is selected, so that the model resolution does not match the screen resolution.
- the resolution can ensure the visual effect of the model as much as possible while avoiding waste of limited hardware resources.
- the feature-enhanced edge folding simplification algorithm can be applied to the mesh model of any topology structure, and the model can be well maintained when down-sampling to lower resolution, thus ensuring a simplified model.
- the visual effect; and the adaptive selection of the model resolution can be easily realized, which can avoid the waste of system resources and even the operation difficulty when the 3D mesh model is applied on the mobile terminal, and provide the best possible
- the visual effect of the model can better guarantee the quality of the multimedia service in the form of a grid model on the mobile terminal.
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Abstract
L'invention porte sur un procédé de codage multirésolution continue de modèle de maillage tridimensionnel exploité par terminal universel. Le procédé comprend les opérations suivantes : un côté serveur utilise une méthode de métrique d'erreur quadrique améliorée par caractéristiques pour simplifier un modèle de maillage; le côté serveur construit une structure de maillage multirésolution à résolution continument ajustable sur la base du processus de simplification; le côté serveur transmet la structure de maillage multirésolution à résolution continument ajustable à un terminal universel; le terminal universel détermine une taille de résolution correspondant à la structure de maillage multirésolution reçue sur la base de la taille de résolution d'un écran du terminal et d'information de résolution contenues par la structure de maillage. La mise en œuvre de modes de réalisation de la présente invention évite le problème d'une perte excessive de caractéristiques de maillage du modèle de maillage tridimensionnel quand la résolution est relativement basse, ce qui évite le problème de sévère distorsion rencontrée dans un procédé de construction multirésolution à relativement basse résolution, et améliore en outre des cas de défaut d'adaptation entre la résolution du modèle et la résolution de l'écran.
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CN 201110161827 CN102324107B (zh) | 2011-06-15 | 2011-06-15 | 一种面向普适终端的三维网格模型连续多分辨率编码方法 |
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WO2020093307A1 (fr) * | 2018-11-08 | 2020-05-14 | 深圳市大疆创新科技有限公司 | Procédé et dispositif de simplification de modèle de maillage tridimensionnel |
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EP2966621A1 (fr) * | 2014-07-09 | 2016-01-13 | Donya Labs AB | Procédé et système de conversion d'un modèle existant 3D en des données graphiques |
CN104183020B (zh) * | 2014-07-09 | 2017-06-06 | 浙江大学 | 基于带惩罚项的局部二次误差测量的地物网格化简方法 |
CN106296794A (zh) * | 2015-05-12 | 2017-01-04 | 十维度(厦门)网络科技有限公司 | 一种以3d数据高强压缩的自适应流加载技术 |
CN105680988B (zh) * | 2015-12-31 | 2018-10-02 | 中山大学 | 一种延迟可调的编码方法 |
CN106600677B (zh) * | 2016-12-30 | 2019-12-03 | 当家移动绿色互联网技术集团有限公司 | Vr系统中对传统模型的处理方法 |
EP3759688A1 (fr) * | 2018-04-12 | 2021-01-06 | Google LLC | Sélection de bord sensible au coût de codage pour une compression de maillage progressif améliorée |
CN109448125A (zh) * | 2018-09-26 | 2019-03-08 | 深圳市华讯方舟太赫兹科技有限公司 | 一种三角网格模型的处理方法、处理终端及存储介质 |
CN110930514B (zh) * | 2019-11-22 | 2021-08-10 | 华南理工大学 | 基于局部区域特征的三维网格模型自适应简化方法 |
CN112370789B (zh) * | 2020-10-20 | 2022-07-19 | 广州西山居世游网络科技有限公司 | 模型三角形网格合适度的检测方法及系统 |
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CN101794462A (zh) * | 2010-03-12 | 2010-08-04 | 中山大学 | 一种基于纹理的三维网格模型变形方法及系统 |
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