CN115830273A - Optimization method and device of lightweight grid before three-dimensional scene rendering - Google Patents
Optimization method and device of lightweight grid before three-dimensional scene rendering Download PDFInfo
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Abstract
The invention discloses a method and a device for optimizing a lightweight grid before three-dimensional scene rendering. The optimization method of the lightweight grid before the three-dimensional scene rendering comprises the following steps: step 1: acquiring plane information of a plane where each triangle in the three-dimensional model to be optimized is located; step 2: acquiring the collapse position of each edge of the three-dimensional model to be optimized according to the plane information of the plane where each triangle is located; and step 3: selecting one of the collapse positions as an optimal collapse position; and 4, step 4: and optimizing the three-dimensional model to be optimized according to the optimal collapse position, thereby reducing the number of triangles in the three-dimensional model to be optimized. The method and the device optimize the huge triangular meshes, and reduce the number of the triangular meshes for describing the three-dimensional scene details as much as possible on the premise of ensuring controllable loss of the triangular meshes.
Description
Technical Field
The application relates to the technical field of three-dimensional model optimization, in particular to an optimization method of a light-weight grid before three-dimensional scene rendering and an optimization device of the light-weight grid before three-dimensional scene rendering.
Background
In a massive three-dimensional scene at the city level, components in the three-dimensional scene are often described using triangles at the million level or billions (hereinafter referred to as triangle meshes). Such a large number of triangular meshes is not necessary or redundant in nature in either a near view or a far view. How to remove some redundant triangular meshes before rendering these huge triangular meshes is very necessary to improve the rendering frame rate and reduce the use of storage space.
Accordingly, a solution is desired to solve or at least mitigate the above-mentioned deficiencies of the prior art.
Disclosure of Invention
It is an object of the present invention to provide a method of optimizing a pre-rendering lightweight mesh for a three-dimensional scene that overcomes or at least mitigates at least one of the above-mentioned disadvantages of the prior art.
In one aspect of the present invention, a method for optimizing a three-dimensional scene pre-rendering lightweight mesh is provided, where the method for optimizing the three-dimensional scene pre-rendering lightweight mesh includes:
step 1: acquiring plane information of a plane where each triangle in the three-dimensional model to be optimized is located;
step 2: acquiring the collapse position of each edge of the three-dimensional model to be optimized according to the plane information of the plane where each triangle is located;
and step 3: selecting one of the collapse positions as an optimal collapse position;
and 4, step 4: and optimizing the three-dimensional model to be optimized according to the optimal collapse position, thereby reducing the number of triangles in the three-dimensional model to be optimized.
Optionally, the step 2 includes:
the collapse position of each edge is obtained by the following formula:
a is a symmetric matrix;(ii) a f (x, y, z) is the vertex at which the extremum is obtainedCoordinates of the objectIn a collapsed position.
Optionally, the step 3 includes:
step 31: obtaining a distance square sum value of each edge of the three-dimensional model to be optimized according to the collapse positions and the plane information of the plane where each triangle is located, wherein one collapse position is used for solving a distance square sum value;
step 32: and acquiring the collapse position corresponding to the minimum distance sum of squares value in each distance sum of squares value as the optimal collapse position.
Optionally, the step 31 obtains a distance sum of squares value by using the following formula:
L 2 is the sum of squares of the distances,Is the transposition of V, V is a collapse position,Is a symmetric matrix, is recorded as。
Optionally, the step 4 includes:
step 41: acquiring position information of each side of each triangle;
step 42: respectively setting a connection relation set for each endpoint of each edge, wherein each connection relation set comprises an endpoint and a triangle having a connection relation with the endpoint;
step 43: obtaining an edge corresponding to the optimal collapse position according to the optimal collapse position, wherein the edge is called a collapse edge to be collapsed;
step 44: two end points of the edge to be collapsed collapse to the optimal collapse position, so that an optimal collapse point is formed;
step 45: acquiring triangles with connection relations with two end points of the side to be collapsed respectively through the connection relation set;
step 46: and connecting each triangle which has a connection relation with two end points of the edge to be collapsed with the optimal collapse point.
Optionally, after the step 4 is completed, the method for optimizing the lightweight mesh before the three-dimensional scene rendering further includes:
and repeating the step 3 and the step 4 until a preset condition is reached.
Optionally, the preset conditions are:
each distance sum of squares value in the step 31 is greater than a preset threshold value.
The application also provides an optimizing device of the lightweight mesh before the three-dimensional scene is rendered, the optimizing device of the lightweight mesh before the three-dimensional scene is rendered includes:
the plane information acquisition module is used for acquiring plane information of a plane where each triangle in the three-dimensional model to be optimized is located;
the collapse position obtaining module is used for obtaining the collapse position of each side of the three-dimensional model to be optimized according to the plane information of the plane where each triangle is located;
the optimal collapse position selection module is used for selecting one of the collapse positions as an optimal collapse position;
and the optimization module is used for optimizing the three-dimensional model to be optimized according to the optimal collapse position, so that the number of triangles in the three-dimensional model to be optimized is reduced.
The application also provides an electronic device, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to realize the optimization method of the three-dimensional scene pre-rendering lightweight mesh.
The application also provides a computer-readable storage medium, which stores a computer program, and the computer program can realize the optimization method of the three-dimensional scene before rendering lightweight grid when being executed by a processor.
Advantageous effects
This application has following advantage:
according to the optimization method of the lightweight mesh before the three-dimensional scene rendering, before massive three-dimensional scenes are rendered, the huge triangular mesh can be optimized, and the number of the triangular meshes for describing the three-dimensional scene details is reduced as much as possible on the premise that the loss of the triangular meshes is controllable, so that the rendering frame rate of the three-dimensional scene can be greatly improved through the reduction of the number of the triangular meshes and the reduction of the storage space, and the distribution and the sharing of the city-level three-dimensional scene are facilitated.
Drawings
Fig. 1 is a schematic flowchart of a method for optimizing a lightweight mesh before rendering a three-dimensional scene according to a first embodiment of the present application;
FIG. 2 is an electronic device for implementing the method for optimizing a pre-rendering lightweight mesh for the three-dimensional scene shown in FIG. 1;
FIG. 3 is a schematic diagram of a three-dimensional model of an embodiment of the present application.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the drawings in the embodiments of the present application. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are a subset of the embodiments in the present application and not all embodiments in the present application. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application. Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic flowchart of an optimization method for a lightweight mesh before rendering a three-dimensional scene according to a first embodiment of the present disclosure.
The optimization method of the lightweight mesh before the three-dimensional scene rendering as shown in fig. 1 comprises the following steps:
step 1: acquiring plane information of a plane where each triangle in the three-dimensional model to be optimized is located;
step 2: acquiring the collapse position of each edge of the three-dimensional model to be optimized according to the plane information of the plane where each triangle is located;
and step 3: selecting one of the collapse positions as an optimal collapse position;
and 4, step 4: and optimizing the three-dimensional model to be optimized according to the optimal collapse position, thereby reducing the number of triangles in the three-dimensional model to be optimized.
According to the optimization method of the lightweight mesh before the three-dimensional scene rendering, before massive three-dimensional scenes are rendered, the huge triangular mesh can be optimized, and the number of the triangular meshes for describing the three-dimensional scene details is reduced as much as possible on the premise that the loss of the triangular meshes is controllable, so that the rendering frame rate of the three-dimensional scene can be greatly improved through the reduction of the number of the triangular meshes and the reduction of the storage space, and the distribution and the sharing of the city-level three-dimensional scene are facilitated.
In this embodiment, step 2 includes:
the collapse position of each edge is obtained by the following formula:
in this embodiment, the step 3 includes:
step 31: obtaining a distance square sum value of each edge of the three-dimensional model to be optimized according to the collapse positions and the plane information of the plane where each triangle is located, wherein one collapse position is used for solving a distance square sum value;
step 32: and acquiring the collapse position corresponding to the minimum distance sum of squares value in each distance sum of squares value as the optimal collapse position.
In this embodiment, the step 31 obtains the sum of squared distances by using the following formula:
L 2 is the sum of squares of the distances,Is the transposition of V, V is a collapse position,Is a symmetric matrix, is recorded as。
In this embodiment, the step 4 includes:
step 41: acquiring position information of each side of each triangle;
step 42: respectively setting a connection relation set for each endpoint of each edge, wherein each connection relation set comprises an endpoint and a triangle having a connection relation with the endpoint;
step 43: obtaining an edge corresponding to the optimal collapse position according to the optimal collapse position, wherein the edge is called a collapse edge to be collapsed;
step 44: two end points of the edge to be collapsed collapse to the optimal collapse position, so that an optimal collapse point is formed;
step 45: acquiring a triangle which has a connection relation with two end points of the edge to be collapsed respectively through the connection relation set;
step 46: and connecting each triangle which has a connection relation with two end points of the edge to be collapsed with the optimal collapse point.
In this embodiment, after the step 4 is completed, the method for optimizing a lightweight mesh before three-dimensional scene rendering further includes:
and repeating the step 3 and the step 4 until a preset condition is reached.
In this embodiment, the preset conditions are:
each distance sum of squares value in the step 31 is greater than a preset threshold value.
The technical solutions of the present application are further described in detail below by way of examples, and it should be understood that the examples do not limit the present application in any way.
Referring to fig. 1, step 1: acquiring plane information of a plane where each triangle in the three-dimensional model to be optimized is located;
step 2: acquiring the collapse position of each edge of the three-dimensional model to be optimized according to the plane information of the plane where each triangle is located;
and step 3: selecting one of the collapse positions as an optimal collapse position;
and 4, step 4: and optimizing the three-dimensional model to be optimized according to the optimal collapse position, thereby reducing the number of triangles in the three-dimensional model to be optimized.
Specifically, as shown in fig. 3, fig. 3 is a typical small-scale triangular mesh, and is a schematic diagram of a triangular mesh that only shows a great amount of local details of a three-dimensional scene. How to find out redundant triangles in a large number of triangular meshes and remove the redundant triangles from the original triangular meshes without making human eyes perceive obvious changes in details needs to quantitatively express how much the new triangular meshes and the old triangular meshes (hereinafter referred to as new and old triangular meshes) change in geometry after a certain triangle or triangles are removed, and then determine the triangles to be removed according to the quantitatively expressed changes and a given threshold. As shown in FIG. 3, connecting the three triangles { v1, v2, v3}, { v1, v4, v2}, { v1, v5, v2} on the side { v1, v2} and removing the three triangles on the side { v1, v2} will generate a hole { v1, v3, v2v4}, shorten the side { v1, v2} to a point vo, and the hole disappears, while all the vertices v1, v2 in all the un-removed triangles in the new mesh will be replaced with points vo. The sum of the squares L2 of the distances of the points vo from the plane in which the triangle having an association with vo is located measures the geometric change of the two resulting from the operation of removing the triangle.
In the above-mentioned formula, the compound has the following structure,representing the planes of all triangles associated with the two vertices of the edge { v1, v2}, a plane is typically represented by three directional cosines plus a directed distance to form a column vector, i.e.The number of planes is n; v is the vertex coordinate of the three-dimensional space, usually expressed in homogeneous coordinates, i.e. the column vector V (x, y, z, 1),represents a transposition of V; matrix arrayIs formed by all column vectorsThe structure of the composite material is marked as P,is the transpose of the matrix P, notedThen, the sum of squared distances is rewritten as follows:
matrix in the above formulaIs a symmetric matrix, denotedIf the column vectors of the matrix P are linearly independent of each other, the matrix A is positive, the distance sum of squares L2 must have a minimum value, the minimum value of the distance sum of squares (denoted as minL 2) is used as a quantitative expression for removing the geometric change of new and old triangular meshes after removing the associated triangles on a certain edge, such as the edge { v1, v2}, and is recorded in the attribute of each edge.
Then, the minL of all edges in the triangular mesh is obtained 2 While calculating L 2 Obtaining a minimum value minL 2 Coordinates of the time-corresponding vertex vo。
the gradient vector of the function f (x, y, z) is then:
order toObtaining a 3 rd order square matrix of non-homogeneous linear equation system, the only solution is the vertex coordinate when f (x, y, z) obtains extreme valueAnd the vertex coordinate is the collapse position.
And the blackout matrix formed by the second-order partial derivatives of the function f (x, y, z) is:
the 1, 2 and 3 order sequence subforms of A are only larger than zero, and the black plug matrixIs a positive definite matrix so that the gradient vector can be determinedExtreme point of time is minimum value, i.e. the vertex coordinates in this caseSubstituting into ternary quadratic function f (x, y, z) to obtain L 2 Minimum value of (min L) 2 。
Finally, there are two special cases to handle. (1) If the column vectors of the matrix P comprise column vectors formed by parallel or same planes, the column vectors of the matrix P cannot ensure that the two column vectors are linearly independent, and the matrix A cannot ensure that the column vectors are positive; (2) if the blackout matrix of the function f (x, y, z) cannot be guaranteed to be positive. At this time, the end point and the midpoint coordinate of an edge, for example, the edge { v1, v2} should be respectively substituted into the ternary quadratic function f (x, y, z), and the minimum value should be taken as L 2 Minimum value of (min L) 2 。
In this embodiment, the step 4 includes:
step 41: obtaining position information of each edge of each triangle (i.e. position information of each edge in fig. 3, for example, { v1, v2}, { v1, v3}, { v1, v4}, etc. shown in fig. 3. It is understood that each triangle has three edges, and the positions of each point and therefore each edge are known in the three-dimensional model);
step 42: respectively setting a connection relation set for each endpoint of each edge, wherein each connection relation set comprises an endpoint and triangles having connection relations with the endpoint (for example, taking endpoint V1 as an example, triangles having relations with V1 comprise { V1, V2, V3}, { V1, V4, V2}, { V1, V5, V2}, and it is understood that other triangles are also included, and only a few of the triangles are schematically described here);
step 43: obtaining an edge corresponding to the optimal collapse position according to the optimal collapse position, wherein the edge is called an edge to be collapsed (for example, { v1, v2} obtained by calculation is an edge to be collapsed);
step 44: two end points of the edge to be collapsed collapse to the optimal collapse position, so as to form an optimal collapse point (namely, shortening the edge { v1, v2} into a point vo);
step 45: obtaining triangles (i.e., { v1, v2, v3}, { v1, v4, v2}, { v1, v5, v2}, respectively, which have connection relationships with two end points of an edge to be collapsed, through the connection relationship set, and it is understood that other triangles may be included, and only some of them are schematically described here);
step 46: and connecting each triangle which has a connection relation with two end points of the side to be collapsed with the optimal collapse point (namely, V1 in { V1, V2, V3} is changed into V0, V1 in { V1, V4, V2} is changed into V0, and the like).
By the method, the quantity of the massive triangular meshes can be reduced on the premise of controlling the loss of the details of the triangular meshes, so that the three-dimensional massive scene can be interactively rendered without pause when the display memory and rendering operation resources are rendered constantly.
The application also provides an optimization device of the three-dimensional scene pre-rendering lightweight grid, the optimization device of the three-dimensional scene pre-rendering lightweight grid comprises a plane information acquisition module, a collapse position acquisition module, an optimal collapse position selection module and an optimization module, wherein the plane information acquisition module is used for acquiring plane information of a plane where each triangle in the three-dimensional model to be optimized is located; the collapse position acquisition module is used for acquiring the collapse position of each edge of the three-dimensional model to be optimized according to the plane information of the plane where each triangle is located; the optimal collapse position selection module is used for selecting one of the collapse positions as an optimal collapse position; the optimization module is used for optimizing the three-dimensional model to be optimized according to the optimal collapse position, so that the number of triangles in the three-dimensional model to be optimized is reduced.
It should be noted that the foregoing explanations of the method embodiments are also applicable to the system of this embodiment, and are not repeated herein.
The application also provides an electronic device, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to realize the optimization method of the lightweight mesh before three-dimensional scene rendering.
The application also provides a computer-readable storage medium, which stores a computer program, and the computer program can realize the optimization method of the lightweight mesh before the rendering of the three-dimensional scene when being executed by a processor.
Fig. 2 is an exemplary structural diagram of an electronic device capable of implementing an optimization method for a pre-rendering lightweight mesh for a three-dimensional scene according to an embodiment of the present application.
As shown in fig. 2, the electronic device includes an input device 501, an input interface 502, a central processor 503, a memory 504, an output interface 505, and an output device 506. The input interface 502, the central processing unit 503, the memory 504 and the output interface 505 are connected to each other through a bus 507, and the input device 501 and the output device 506 are connected to the bus 507 through the input interface 502 and the output interface 505, respectively, and further connected to other components of the electronic device. Specifically, the input device 504 receives input information from the outside and transmits the input information to the central processor 503 through the input interface 502; the central processor 503 processes the input information based on computer-executable instructions stored in the memory 504 to generate output information, temporarily or permanently stores the output information in the memory 504, and then transmits the output information to the output device 506 through the output interface 505; the output device 506 outputs the output information to the outside of the electronic device for use by the user.
That is, the electronic device shown in fig. 2 may also be implemented to include: a memory storing computer-executable instructions; and one or more processors which, when executing the computer executable instructions, may implement the method of optimizing a pre-three-dimensional scene rendering lightweight mesh described in connection with fig. 1.
In one embodiment, the electronic device shown in fig. 2 may be implemented to include: a memory 504 configured to store executable program code; one or more processors 503 configured to execute the executable program code stored in the memory 504 to perform the method for optimizing a three-dimensional scene pre-rendering lightweight mesh in the above embodiments.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media include both non-transitory and non-transitory, removable and non-removable media that implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
Furthermore, it will be obvious that the term "comprising" does not exclude other elements or steps. A plurality of units, modules or devices recited in the device claims may also be implemented by one unit or overall device by software or hardware. The terms first, second, etc. are used to identify names, but not any particular order.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks identified in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The Processor in this embodiment may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, and so on. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the apparatus/terminal device by running or executing the computer programs and/or modules stored in the memory, as well as by invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
In this embodiment, the module/unit integrated with the apparatus/terminal device may be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as a separate product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by hardware related to instructions of a computer program, and the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments described above may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
It should be noted that the computer readable medium may contain content that is appropriately increased or decreased as required by legislation and patent practice in the jurisdiction. Although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application, and those skilled in the art can make variations and modifications without departing from the spirit and scope of the present application.
Although the invention has been described in detail hereinabove with respect to a general description and specific embodiments thereof, it will be apparent to those skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (10)
1. A method for optimizing a three-dimensional scene pre-rendering lightweight mesh, the method comprising:
step 1: acquiring plane information of a plane where each triangle in the three-dimensional model to be optimized is located;
step 2: acquiring the collapse position of each edge of the three-dimensional model to be optimized according to the plane information of the plane where each triangle is located;
and step 3: selecting one of the collapse positions as an optimal collapse position;
and 4, step 4: and optimizing the three-dimensional model to be optimized according to the optimal collapse position, thereby reducing the number of triangles in the three-dimensional model to be optimized.
2. The method of optimizing a pre-rendering lightweight mesh for a three-dimensional scene as recited in claim 1, wherein said step 2 comprises:
the collapse position of each edge is obtained by the following formula:
3. The method of optimizing a pre-rendering lightweight mesh for a three-dimensional scene as recited in claim 2, wherein said step 3 comprises:
step 31: obtaining a distance square sum value of each edge of the three-dimensional model to be optimized according to the collapse positions and the plane information of the plane where each triangle is located, wherein one collapse position is used for solving a distance square sum value;
step 32: and acquiring the collapse position corresponding to the minimum distance sum of squares value in each distance sum of squares value as the optimal collapse position.
4. The method of optimizing the pre-rendering lightweight mesh for a three-dimensional scene of claim 3, wherein the step 31 obtains the sum of squared distances using the following formula:
5. The method of optimizing a pre-rendering lightweight mesh for a three-dimensional scene of claim 4, wherein said step 4 comprises:
step 41: acquiring the position information of each edge of each triangle;
step 42: respectively setting a connection relation set for each endpoint of each edge, wherein each connection relation set comprises an endpoint and a triangle having a connection relation with the endpoint;
step 43: obtaining an edge corresponding to the optimal collapse position according to the optimal collapse position, wherein the edge is called a collapse edge to be collapsed;
step 44: two end points of the edge to be collapsed collapse to the optimal collapse position, so that an optimal collapse point is formed;
step 45: acquiring triangles with connection relations with two end points of the side to be collapsed respectively through the connection relation set;
step 46: and connecting each triangle which has a connection relation with two end points of the edge to be collapsed with the optimal collapse point.
6. The method of optimizing a three-dimensional scene pre-rendering lightweight mesh of claim 5, wherein after completing step 4, the method of optimizing a three-dimensional scene pre-rendering lightweight mesh further comprises:
and repeating the step 3 and the step 4 until a preset condition is reached.
7. The method of optimizing a pre-rendering lightweight mesh for a three-dimensional scene of claim 6, wherein the predetermined condition is:
each distance sum of squares value in the step 31 is greater than a preset threshold value.
8. An optimization apparatus for a three-dimensional scene pre-rendering lightweight mesh, the optimization apparatus comprising:
the plane information acquisition module is used for acquiring plane information of a plane where each triangle in the three-dimensional model to be optimized is located;
the collapse position obtaining module is used for obtaining the collapse position of each side of the three-dimensional model to be optimized according to the plane information of the plane where each triangle is located;
the optimal collapse position selection module is used for selecting one of the collapse positions as an optimal collapse position;
and the optimization module is used for optimizing the three-dimensional model to be optimized according to the optimal collapse position, so that the number of triangles in the three-dimensional model to be optimized is reduced.
9. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor, when executing the computer program, implements a method for optimizing a pre-rendering lightweight mesh for a three-dimensional scene as recited in any one of claims 1 to 7.
10. A computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, which when executed by a processor, is capable of implementing the method for optimizing a pre-rendering lightweight mesh for a three-dimensional scene as claimed in any one of claims 1 to 7.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130187915A1 (en) * | 2012-01-20 | 2013-07-25 | Vangogh Imaging, Inc. | Three Dimensional Data Compression |
CN107247833A (en) * | 2017-05-27 | 2017-10-13 | 华中科技大学 | A kind of CAE mass data light weight methods under cloud computing |
CN109523634A (en) * | 2018-09-30 | 2019-03-26 | 先临三维科技股份有限公司 | Optimize the method and device of grid |
CN111868785A (en) * | 2018-04-12 | 2020-10-30 | 谷歌有限责任公司 | Vertex split connectivity prediction for improved progressive mesh compression |
CN114677473A (en) * | 2022-02-25 | 2022-06-28 | 河南中原动力智能制造有限公司 | Method, device and equipment for reconstructing three-dimensional model and storage medium |
CN115222879A (en) * | 2022-06-22 | 2022-10-21 | 北京百度网讯科技有限公司 | Model surface reduction processing method and device, electronic equipment and storage medium |
-
2023
- 2023-01-10 CN CN202310030942.3A patent/CN115830273B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130187915A1 (en) * | 2012-01-20 | 2013-07-25 | Vangogh Imaging, Inc. | Three Dimensional Data Compression |
CN107247833A (en) * | 2017-05-27 | 2017-10-13 | 华中科技大学 | A kind of CAE mass data light weight methods under cloud computing |
CN111868785A (en) * | 2018-04-12 | 2020-10-30 | 谷歌有限责任公司 | Vertex split connectivity prediction for improved progressive mesh compression |
CN109523634A (en) * | 2018-09-30 | 2019-03-26 | 先临三维科技股份有限公司 | Optimize the method and device of grid |
CN114677473A (en) * | 2022-02-25 | 2022-06-28 | 河南中原动力智能制造有限公司 | Method, device and equipment for reconstructing three-dimensional model and storage medium |
CN115222879A (en) * | 2022-06-22 | 2022-10-21 | 北京百度网讯科技有限公司 | Model surface reduction processing method and device, electronic equipment and storage medium |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117473655A (en) * | 2023-12-27 | 2024-01-30 | 中国人民解放军国防科技大学 | Aircraft simulation driving design method and device based on edge collapse grid optimization |
CN117473655B (en) * | 2023-12-27 | 2024-03-15 | 中国人民解放军国防科技大学 | Aircraft simulation driving design method and device based on edge collapse grid optimization |
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