CN118135080A - Laser point cloud model rendering method and system - Google Patents
Laser point cloud model rendering method and system Download PDFInfo
- Publication number
- CN118135080A CN118135080A CN202410335939.7A CN202410335939A CN118135080A CN 118135080 A CN118135080 A CN 118135080A CN 202410335939 A CN202410335939 A CN 202410335939A CN 118135080 A CN118135080 A CN 118135080A
- Authority
- CN
- China
- Prior art keywords
- point cloud
- model
- cloud model
- dimensional
- dimensional point
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000009877 rendering Methods 0.000 title claims abstract description 62
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000005516 engineering process Methods 0.000 claims abstract description 32
- 238000013507 mapping Methods 0.000 claims abstract description 27
- 238000005286 illumination Methods 0.000 claims abstract description 19
- 230000000694 effects Effects 0.000 claims abstract description 16
- 230000000007 visual effect Effects 0.000 claims abstract description 16
- 238000007405 data analysis Methods 0.000 claims abstract description 12
- 230000003993 interaction Effects 0.000 claims abstract description 11
- 238000004422 calculation algorithm Methods 0.000 claims description 14
- 238000001914 filtration Methods 0.000 claims description 12
- 238000012800 visualization Methods 0.000 claims description 12
- 238000010276 construction Methods 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 8
- 230000001788 irregular Effects 0.000 claims description 6
- 239000000463 material Substances 0.000 claims description 5
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000010845 search algorithm Methods 0.000 claims description 2
- 230000006870 function Effects 0.000 description 7
- 230000008569 process Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000002146 bilateral effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 238000009430 construction management Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 238000007429 general method Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Processing Or Creating Images (AREA)
Abstract
The invention provides a laser point cloud model rendering method and a system, wherein the method comprises the following steps: acquiring point cloud data acquired by a user, and constructing a three-dimensional point cloud model based on MapGIS; importing a three-dimensional point cloud model, carrying out data analysis on the three-dimensional point cloud model through MAPGIS EARTH for Unreal, and rendering the three-dimensional point cloud model based on a texture mapping technology and a dynamic illumination technology so as to parameterize and deploy a rendering scene of the three-dimensional point cloud model; and adding the three-dimensional point cloud model into the rendering scene based on point cloud registration, and carrying out visual expression of the point cloud model through man-machine interaction. By the aid of the method, geographic information in the point cloud model can be reserved, model rendering difficulty can be reduced, and visual display effect of the model is effectively improved.
Description
Technical Field
The invention belongs to the field of three-dimensional scene construction, and particularly relates to a laser point cloud model rendering method and system.
Background
As an information bridge between a real entity and a digital model, three-dimensional data processing and visualization technology based on point cloud data has received extensive attention in recent years in the academic world. The high-speed development of three-dimensional scanning equipment makes the three-dimensional space information acquisition of objects easier and easier, and the development of computer graphics and machine vision also provides powerful theoretical support for the three-dimensional space information acquisition. The obtained three-dimensional point cloud data generally contains information such as spatial position coordinates, colors, reflection intensity and the like of the measured object, and can intuitively express the information such as the shape and depth distance of the object, but the rendering and the visualization effect of the three-dimensional point cloud are limited by the technical level.
Currently, there are two general methods for representing point cloud data in a computer, which are two representation modes of a discrete point cloud model and a grid model respectively. The discrete point cloud model contains point information, but does not have a topological relation between points, so that real geographic information is difficult to keep; the grid model not only has the information of the positions of the points and the like, but also has the topological relation among the points, but the huge scale of the point cloud data causes great difficulty in data transmission, calculation and rendering, and the visual effect is influenced.
In view of this, it is necessary to provide a method that can not only retain the real geographic information of the point cloud, but also ensure the visual display effect.
Disclosure of Invention
In view of the above, the embodiment of the invention provides a laser point cloud model rendering method and system, which are used for solving the problem that the existing point cloud model is difficult to consider both point cloud geographic coordinate information and model rendering effect.
In a first aspect of an embodiment of the present invention, a method for rendering a laser point cloud model is provided, including:
acquiring point cloud data acquired by a user, and constructing a three-dimensional point cloud model based on MapGIS;
Importing a three-dimensional point cloud model, carrying out data analysis on the three-dimensional point cloud model through MAPGIS EARTH for Unreal, and rendering the three-dimensional point cloud model based on a texture mapping technology and a dynamic illumination technology so as to parameterize and deploy a rendering scene of the three-dimensional point cloud model;
and adding the three-dimensional point cloud model into the rendering scene based on point cloud registration, and carrying out visual expression of the point cloud model through man-machine interaction.
In a second aspect of the embodiment of the present invention, there is provided a laser point cloud model rendering system, including:
the model construction module is used for acquiring point cloud data acquired by a user and constructing a three-dimensional point cloud model based on MapGIS;
the scene deployment module is used for importing a three-dimensional point cloud model, carrying out data analysis on the three-dimensional point cloud model through MAPGIS EARTH for Unreal, and rendering the three-dimensional point cloud model based on a texture mapping technology and a dynamic illumination technology so as to parameterize and deploy a rendering scene of the three-dimensional point cloud model;
And the model visualization module is used for adding the three-dimensional point cloud model into the rendering scene based on the point cloud registration and carrying out the visualized expression of the point cloud model through man-machine interaction.
In a third aspect of the embodiments of the present invention, there is provided an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to the first aspect of the embodiments of the present invention when the computer program is executed by the processor.
In a fourth aspect of the embodiments of the present invention, there is provided a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method provided by the first aspect of the embodiments of the present invention.
In the embodiment of the invention, the three-dimensional point cloud model is constructed through MapG I S, the data analysis is carried out on the three-dimensional point cloud model through MAPG I S EARTH for Unrea l, the three-dimensional point cloud model is rendered based on the texture mapping technology and the dynamic illumination technology, and the three-dimensional point cloud model is added into a rendering scene, so that the geographic coordinate information in the laser point cloud model can be reserved, the rendering effect of the point cloud model can be effectively ensured, and the reality and fluency of model rendering are improved. Meanwhile, the visual expression of the three-dimensional point cloud model is realized, and the visual effect of the point cloud model is enriched.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings described below are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.
Fig. 1 is a schematic flow chart of a laser point cloud model rendering method according to an embodiment of the present invention;
Fig. 2 is a schematic structural diagram of a laser point cloud model rendering system according to an embodiment of the present invention;
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more comprehensible, the technical solutions in the embodiments of the present invention are described in detail below with reference to the accompanying drawings, and it is apparent that the embodiments described below are only some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be understood that the term "comprising" and other similar meaning in the description of the invention or the claims and the above-mentioned figures is intended to cover a non-exclusive inclusion, such as a process, method or system, apparatus comprising a series of steps or elements, without limitation to the listed steps or elements. Furthermore, "first" and "second" are used to distinguish between different objects and are not used to describe a particular order.
Referring to fig. 1, a flow chart of a laser point cloud model rendering method provided by an embodiment of the invention includes:
S101, acquiring point cloud data acquired by a user, and constructing a three-dimensional point cloud model based on MapGIS;
The point cloud data is point cloud acquired by a laser radar and can be multi-source heterogeneous point cloud data. MapGIS is general tool software for constructing a three-dimensional geographic model, and collected point cloud data can be converted into a corresponding three-dimensional point cloud model through MapGIS.
The method comprises the steps of preprocessing imported point cloud data, and carrying out model construction on the preprocessed point cloud data through a point cloud modeling function provided by MapGIS software:
Specifically, filtering the point cloud data, and filtering abnormal points in the point cloud data; converting the point cloud data into a target coordinate system, and performing data thinning on redundant point clouds; acquiring point cloud neighborhood information based on a K field searching algorithm, constructing a point cloud space index, and constructing a point cloud normal vector based on tangential plane information of the point cloud; and (3) carrying out triangular mesh creation on the point cloud data with vertex coordinates, which is subjected to point cloud normal vector construction, wherein the triangular mesh creation comprises regular model reconstruction and irregular model reconstruction.
Based on algorithms such as bilateral filtering and low-pass filtering, noise points, outliers, holes and the like in point cloud data are processed, a rotation translation matrix between two point clouds is calculated, a source point cloud is transformed to a coordinate system of a target point cloud, thinning processing is carried out on the point cloud data, and the data size is compressed.
The regular model reconstruction is based on regular point cloud data, and a least square based curved surface reconstruction algorithm is adopted to realize the point cloud model curved surface reconstruction through a spline curved surface technology;
The irregular model reconstruction is based on irregular point cloud data, a Delaunay triangulation-based curved surface reconstruction algorithm is adopted, and the point cloud model curved surface reconstruction is realized through an interpolation technology.
S102, importing a three-dimensional point cloud model, carrying out data analysis on the three-dimensional point cloud model through MAPGIS EARTH for Unreal, and rendering the three-dimensional point cloud model based on a texture mapping technology and a dynamic illumination technology so as to parameterize and deploy a rendering scene of the three-dimensional point cloud model;
MAPGIS EARTH for Unreal is a software tool for scene construction and data management, which can provide rendering services for a three-dimensional GIS model, and implement rendering, editing, management, etc. of model scenes.
The texture mapping technology is characterized in that texture information is endowed to a three-dimensional point cloud by constructing a mapping relation between the point cloud and a built-in texture image of a system, namely, multi-level mixed textures are added on the surface of a point cloud model, so that abundant model surface details and visualization effects are obtained; the dynamic illumination technology adopts ray tracing to increase the light shade effect of the point cloud model data and promote the rendering authenticity.
Specifically, a three-dimensional scene is created, an imported three-dimensional point cloud model is read, metadata of the three-dimensional point cloud model is analyzed, and point cloud geometric information, space information and attribute information are obtained; based on MAPGISEARTH FOR UNREAL rendering engine, constructing the mapping relation between the point cloud and the built-in texture image of the system through a two-step texture mapping algorithm, and giving texture information to the three-dimensional point cloud; the two-step texture mapping algorithm maps the texture image to the middle curved surface, and indirectly maps the texture image to the surface of the object through the corresponding relation between the middle curved surface and the surface points of the object; and the light shadow effect is increased for the three-dimensional point cloud model through the ray tracing technology.
The ray tracing technology is mainly based on a path tracing algorithm model, and the principle of the ray tracing technology is that a plurality of rays are emitted from a camera position to a screen, the intersection condition of the rays and the surface of a point cloud model is judged, direct illumination at the intersection point is calculated, whether reflection conditions exist at the intersection point or not is judged, iterative calculation is carried out on indirect illumination generated by reflected rays, the direct illumination radiance and the indirect illumination radiance of a single ray are combined and calculated to obtain the pixel radiance of the single ray, and then the radiance of all pixels of the screen is combined to obtain a final radiance result.
S103, adding the three-dimensional point cloud model into a rendering scene based on point cloud registration, and carrying out visual expression of the point cloud model through man-machine interaction.
The three-dimensional point cloud model is added into the three-dimensional scene, the matching of the scene and the model can be realized by carrying out point cloud registration based on scene positioning and position information in the point cloud model, and the visual display of the point cloud model can be controlled according to instruction information input by a user. The visual expression means that various display effects of the three-dimensional point cloud model, such as time change, weather change and the like of the set model, are achieved through different auxiliary tools.
Optionally, setting time information and weather information of the three-dimensional point cloud model, and setting and adding the three-dimensional material model. The time information is the current time period, such as morning, noon and evening, and the illumination effect is changed according to different time periods in the day; the weather information is the weather state of the current scene, such as sunny days, cloudy days, rainy days and the like, and the corresponding scene rendering effect is transformed according to different weather states; according to the three-dimensional point cloud model, corresponding scene material models such as plants, vehicles, buildings and the like can be manually added, so that the display effect of the scene is enriched.
In the embodiment, the three-dimensional point cloud model is built based on MapGIS, the data analysis is performed on the three-dimensional point cloud model through MapGIS Earthfor Unreal, the three-dimensional point cloud model is rendered based on the texture mapping technology and the dynamic illumination technology, and the three-dimensional point cloud model is added to the rendering scene, so that the point cloud rendering effect can be effectively improved. Different from the traditional rasterization rendering mode, the high-fidelity rendering engine is introduced, the reality of model loading is increased, the visualization of a large amount of point cloud data is supported, a multi-level point cloud model cache is established by combining an LOD technology, a scene is rapidly drawn, the point cloud model visualization pressure under a large data amount can be reduced, and the model rendering quality is ensured.
It should be understood that the sequence number of each step in the above embodiment does not mean the sequence of execution, and the execution sequence of each process should be determined by its function and internal logic, and should not be construed as limiting the implementation process of the embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a laser point cloud model rendering system according to an embodiment of the present invention, where the system includes:
The model construction module 210 is configured to acquire point cloud data acquired by a user, and construct a three-dimensional point cloud model based on MapGIS;
wherein the model building module 210 comprises:
The data filtering unit is used for filtering the point cloud data and filtering abnormal points in the point cloud data;
the registration thinning unit is used for converting the point cloud data into a target coordinate system and thinning the redundant point cloud data;
The normal vector construction unit is used for acquiring point cloud neighborhood information based on a K field search algorithm, constructing a point cloud space index and constructing a point cloud normal vector based on tangential plane information of the point cloud;
The curved surface reconstruction unit is used for carrying out triangle mesh creation on the point cloud data which is subjected to point cloud normal vector construction and has vertex coordinates, and the triangle mesh creation comprises regular model reconstruction and irregular model reconstruction.
The scene deployment module 220 is used for importing a three-dimensional point cloud model, carrying out data analysis on the three-dimensional point cloud model through MAPGIS EARTH forUnreal, and rendering the three-dimensional point cloud model based on a texture mapping technology and a dynamic illumination technology so as to parameterize and deploy a rendering scene of the three-dimensional point cloud model;
Specifically, the scenario deployment module 220 includes:
The data analysis unit is used for creating a three-dimensional scene, reading the imported three-dimensional point cloud model, analyzing the metadata of the three-dimensional point cloud model and obtaining point cloud geometric information, spatial information and attribute information;
the texture mapping unit is used for constructing a mapping relation between the point cloud and the texture image built in the system through a two-step texture mapping algorithm based on MAPGIS EARTH for Unreal rendering engine and giving texture information to the three-dimensional point cloud;
The two-step texture mapping algorithm maps the texture image to the middle curved surface, and indirectly maps the texture image to the surface of the object through the corresponding relation between the middle curved surface and the surface points of the object;
and the dynamic illumination unit is used for increasing the shadow effect for the three-dimensional point cloud model through a ray tracing technology.
The model visualization module 230 is configured to add a three-dimensional point cloud model to the rendering scene based on the point cloud registration, and perform visual expression of the point cloud model through man-machine interaction.
The model visualization module 230 may include a model loading unit and a visualization expression unit.
Wherein the visual expression unit comprises:
setting time information and weather information of the three-dimensional point cloud model, and setting an added three-dimensional material model.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the above-described system and module may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. The electronic device is used for laser point cloud model rendering and visualization. As shown in fig. 3, the electronic apparatus 3 of this embodiment includes: memory 310, processor 320, and system bus 330, the memory 310 including an executable program 3101 stored thereon, it will be understood by those skilled in the art that the electronic device structure shown in fig. 3 is not limiting of the electronic device and may include more or fewer components than illustrated, or may combine certain components, or a different arrangement of components.
The following describes the respective constituent elements of the electronic device in detail with reference to fig. 3:
The memory 310 may be used to store software programs and modules, and the processor 320 may execute various functional applications and data processing of the electronic device by executing the software programs and modules stored in the memory 310. The memory 310 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 (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data created according to the use of the electronic device (such as cache data), and the like. In addition, memory 310 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.
An executable program 3101 containing network request methods on the memory 310, the executable program 3101 may be partitioned into one or more modules/units stored in the memory 310 and executed by the processor 320 for point cloud model rendering, etc., the one or more modules/units may be a series of computer program instruction segments capable of performing specific functions describing the execution of the executable program 3101 in the electronic device 3. For example, the executable program 3101 may be divided into functional modules such as a model building module, a scene deployment module, and a model visualization module.
Processor 320 is a control center of the electronic device that utilizes various interfaces and lines to connect various portions of the overall electronic device, perform various functions of the electronic device and process data by running or executing software programs and/or modules stored in memory 310, and invoking data stored in memory 310, thereby performing overall condition monitoring of the electronic device. Optionally, processor 320 may include one or more processing units; preferably, the processor 320 may integrate an application processor that primarily handles operating systems, applications, etc., with a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 320.
The system bus 330 is used to connect functional components in the computer, and CAN transmit data information, address information, and control information, and the types of the system bus may be, for example, a PCI bus, an isa bus, and a CAN bus. Instructions from the processor 320 are transferred to the memory 310 through the bus, the memory 310 feeds back data to the processor 320, and the system bus 330 is responsible for data and instruction interaction between the processor 320 and the memory 310. Of course, the system bus 330 may also access other devices, such as a network interface, a display device, etc.
In an embodiment of the present invention, the executable program executed by the processor 320 included in the electronic device includes:
acquiring point cloud data acquired by a user, and constructing a three-dimensional point cloud model based on MapGIS;
Importing a three-dimensional point cloud model, carrying out data analysis on the three-dimensional point cloud model through MAPGIS EARTH for Unreal, and rendering the three-dimensional point cloud model based on a texture mapping technology and a dynamic illumination technology so as to parameterize and deploy a rendering scene of the three-dimensional point cloud model;
and adding the three-dimensional point cloud model into the rendering scene based on point cloud registration, and carrying out visual expression of the point cloud model through man-machine interaction.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system, apparatus and module may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The laser point cloud model rendering method is characterized by comprising the following steps of:
acquiring point cloud data acquired by a user, and constructing a three-dimensional point cloud model based on MapGIS;
Importing a three-dimensional point cloud model, carrying out data analysis on the three-dimensional point cloud model through MAPGIS EARTH for Unreal, and rendering the three-dimensional point cloud model based on a texture mapping technology and a dynamic illumination technology so as to parameterize and deploy a rendering scene of the three-dimensional point cloud model;
and adding the three-dimensional point cloud model into the rendering scene based on point cloud registration, and carrying out visual expression of the point cloud model through man-machine interaction.
2. The method of claim 1, wherein the constructing a three-dimensional point cloud model based on MapGIS further comprises:
filtering the point cloud data, and filtering abnormal points in the point cloud data;
converting the point cloud data into a target coordinate system, and performing data thinning on redundant point clouds;
Acquiring point cloud neighborhood information based on a K field searching algorithm, constructing a point cloud space index, and constructing a point cloud normal vector based on tangential plane information of the point cloud;
And (3) carrying out triangular mesh creation on the point cloud data with vertex coordinates, wherein the point cloud data is subjected to point cloud normal vector construction, and the triangular mesh creation comprises regular model reconstruction and irregular model reconstruction.
3. The method of claim 1, wherein the data parsing the three-dimensional point cloud model with MapGIS Earthfor Unreal and rendering the three-dimensional point cloud model based on texture mapping techniques and dynamic illumination techniques comprises:
Creating a three-dimensional scene, reading the imported three-dimensional point cloud model, analyzing metadata of the three-dimensional point cloud model, and obtaining point cloud geometric information, spatial information and attribute information;
Based on MAPGIS EARTH for Unreal rendering engine, constructing the mapping relation between the point cloud and the built-in texture image of the system through a two-step texture mapping algorithm, and giving texture information to the three-dimensional point cloud;
The two-step texture mapping algorithm maps the texture image to the middle curved surface, and indirectly maps the texture image to the surface of the object through the corresponding relation between the middle curved surface and the surface points of the object;
And the light shadow effect is increased for the three-dimensional point cloud model through the ray tracing technology.
4. The method of claim 1, wherein the performing the visual representation of the point cloud model by human-machine interaction comprises:
setting time information and weather information of the three-dimensional point cloud model, and setting an added three-dimensional material model.
5. A laser point cloud model rendering system, comprising:
the model construction module is used for acquiring point cloud data acquired by a user and constructing a three-dimensional point cloud model based on MapGIS;
the scene deployment module is used for importing a three-dimensional point cloud model, carrying out data analysis on the three-dimensional point cloud model through MAPGIS EARTH for Unreal, and rendering the three-dimensional point cloud model based on a texture mapping technology and a dynamic illumination technology so as to parameterize and deploy a rendering scene of the three-dimensional point cloud model;
And the model visualization module is used for adding the three-dimensional point cloud model into the rendering scene based on the point cloud registration and carrying out the visualized expression of the point cloud model through man-machine interaction.
6. The system of claim 5, wherein the model building module comprises:
The data filtering unit is used for filtering the point cloud data and filtering abnormal points in the point cloud data;
the registration thinning unit is used for converting the point cloud data into a target coordinate system and thinning the redundant point cloud data;
The normal vector construction unit is used for acquiring point cloud neighborhood information based on a K field search algorithm, constructing a point cloud space index and constructing a point cloud normal vector based on tangential plane information of the point cloud;
The curved surface reconstruction unit is used for carrying out triangle mesh creation on the point cloud data which is subjected to point cloud normal vector construction and has vertex coordinates, and the triangle mesh creation comprises regular model reconstruction and irregular model reconstruction.
7. The system of claim 5, wherein the scenario deployment module comprises:
The data analysis unit is used for creating a three-dimensional scene, reading the imported three-dimensional point cloud model, analyzing the metadata of the three-dimensional point cloud model and obtaining point cloud geometric information, spatial information and attribute information;
the texture mapping unit is used for constructing a mapping relation between the point cloud and the texture image built in the system through a two-step texture mapping algorithm based on MAPGIS EARTH for Unreal rendering engine and giving texture information to the three-dimensional point cloud;
The two-step texture mapping algorithm maps the texture image to the middle curved surface, and indirectly maps the texture image to the surface of the object through the corresponding relation between the middle curved surface and the surface points of the object;
and the dynamic illumination unit is used for increasing the shadow effect for the three-dimensional point cloud model through a ray tracing technology.
8. The system of claim 5, wherein the performing the visual representation of the point cloud model by human-machine interaction comprises:
setting time information and weather information of the three-dimensional point cloud model, and setting an added three-dimensional material model.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of a laser point cloud model rendering method according to any of claims 1 to 4 when the computer program is executed.
10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed implements the steps of a laser point cloud model rendering method according to any of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410335939.7A CN118135080A (en) | 2024-03-22 | 2024-03-22 | Laser point cloud model rendering method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410335939.7A CN118135080A (en) | 2024-03-22 | 2024-03-22 | Laser point cloud model rendering method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN118135080A true CN118135080A (en) | 2024-06-04 |
Family
ID=91234045
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410335939.7A Pending CN118135080A (en) | 2024-03-22 | 2024-03-22 | Laser point cloud model rendering method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118135080A (en) |
-
2024
- 2024-03-22 CN CN202410335939.7A patent/CN118135080A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108648269B (en) | Method and system for singulating three-dimensional building models | |
| CN109603155B (en) | Method and device for acquiring merged map, storage medium, processor and terminal | |
| US11954790B2 (en) | Web-side real-time hybrid rendering method, device and computer equipment combined with ray tracing | |
| US8725466B2 (en) | System and method for hybrid solid and surface modeling for computer-aided design environments | |
| CN114820906B (en) | Image rendering method and device, electronic equipment and storage medium | |
| CN111862292B (en) | Data rendering method and device for transmission line corridor and computer equipment | |
| CN113034656B (en) | Rendering method, device and equipment for illumination information in game scene | |
| Zhao | Application of 3D CAD in landscape architecture design and optimization of hierarchical details | |
| CN113034657B (en) | Rendering method, device and equipment for illumination information in game scene | |
| CN111563948A (en) | Virtual terrain rendering method for dynamically processing and caching resources based on GPU | |
| CN113593027A (en) | Three-dimensional avionics display control interface device | |
| CN114511659B (en) | Volume rendering optimization method under digital earth terrain constraint | |
| CN109858059B (en) | Application method of virtual reality technology based on CAD (computer-aided design) super-large model in hydropower station simulation | |
| CN109684656B (en) | Assembly constraint inheritance method based on SolidWorks | |
| CN118135080A (en) | Laser point cloud model rendering method and system | |
| CN106780693B (en) | Method and system for selecting object in three-dimensional scene through drawing mode | |
| Kuder et al. | Point-based rendering optimization with textured meshes for fast LiDAR visualization | |
| CN114494623A (en) | LOD-based terrain rendering method and device | |
| CN113223146A (en) | Data labeling method and device based on three-dimensional simulation scene and storage medium | |
| CN116993894B (en) | Virtual picture generation method, device, equipment, storage medium and program product | |
| CN116824028B (en) | Image coloring method, apparatus, electronic device, storage medium, and program product | |
| Li et al. | A new approach to image-based realistic architecture modeling with featured solid library | |
| CN115239895B (en) | Mass data loading and optimal rendering method for GIS water environment 3D map | |
| EP4386682A1 (en) | Image rendering method and related device thereof | |
| Qing et al. | Research on Application of 3D Laser Point Cloud Technology in 3D Geographic Location Information Modeling of Electric Power |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |