CN102074049A - Wide-range terrain scheduling simplifying method based on movement of viewpoint - Google Patents

Wide-range terrain scheduling simplifying method based on movement of viewpoint Download PDF

Info

Publication number
CN102074049A
CN102074049A CN 201110048735 CN201110048735A CN102074049A CN 102074049 A CN102074049 A CN 102074049A CN 201110048735 CN201110048735 CN 201110048735 CN 201110048735 A CN201110048735 A CN 201110048735A CN 102074049 A CN102074049 A CN 102074049A
Authority
CN
China
Prior art keywords
viewpoint
data
landform
terrain
scheduling
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
Application number
CN 201110048735
Other languages
Chinese (zh)
Inventor
赵娜
司锡才
陈涛
贾宗圣
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Harbin Engineering University
Original Assignee
Harbin Engineering University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Harbin Engineering University filed Critical Harbin Engineering University
Priority to CN 201110048735 priority Critical patent/CN102074049A/en
Publication of CN102074049A publication Critical patent/CN102074049A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Processing Or Creating Images (AREA)

Abstract

The invention provides a wide-range terrain scheduling simplifying method based on movement of viewpoint, comprising the following steps: pre-processing data, establishing a storage logic model of the terrain in an external memory in advance, dividing the storage logic model of the terrain into blocks on the basis of the quadtree, establishing a multi-resolution model according to the geometrical characteristic of the terrain, and determining the rough division of levels of a scene; loading a logic block dividing model of the terrain into an internal memory according to the change of the scene, i.e. the change of the viewpoint in the real-time processing stage, wherein the data loaded into the internal memory meet the set screen error threshold tau; and transferring different numbers of subblocks to the internal memory according to the distances between the viewpoint which is set in the center of the scene all the way and data blocks of the terrain and the height of the viewpoint, continuously updating the content of the scene according to the distance of deviation of the viewpoint from the center of the scene along with the movement of the viewpoint, and dynamically scheduling and releasing the data. The invention provides the wide-range terrain scheduling simplifying method based on the movement of the viewpoint, aiming at researching into the simplified scheduling and drawing of the simplified terrain scheduling under the condition of the movement of the viewpoint.

Description

The scheduling of landform on a large scale short-cut method based on the motion viewpoint
Technical field
What the present invention relates to is landform dispatching technique in the terrain visualization emulation technology in a kind of virtual emulation field, simplify based on the scheduling of landform on a large scale of motion viewpoint, research be under the condition of viewpoint motion, the simplification of landform scheduling is drawn.
Background technology
Visual and the demonstration of dimensional topography on a large scale is one of the gordian technique in fields such as virtual reality, Geographic Information System (GIS), digital earth, recreation emulation, GIS.
On the one hand, people wish that result displayed can be to greatest extent rises and falls with actual landform and be consistent, and simultaneously, people require can reach the display effect of graphics workstation again under the limited processing power of computing machine.Although many researchers are obtaining a lot of achievements in research aspect the drafting of landform and the processing, real practical simplification and the rendering algorithm that is fit to landform on a large scale is also few.
The expression of megarelief scene adopts the graticule mesh form of polygon (generally being triangle) to construct usually in the computing machine.The scene drawing complexity becomes ratio with the number of visible object in general scene drawing, these class methods are to set up the hierarchical structure of scene at pretreatment stage, when drawing under given viewpoint, by from top to bottom, from closely traveling through scene tree, till all nodes of subtree that with certain node are root are invisible to mode far away.The institutional framework of scene is constant, as long as block tree by traversal, under the constant situation of viewpoint, obtains that the hiding relation between each object gets final product in the scene.But in the analogue simulation of reality, viewpoint often is not fixed, but is set to any viewpoint in the scene, scene is carried out displaying live view or dynamically change, as roaming system or flight simulation.Also accompany movement viewpoint of scene changes, for guaranteeing smooth demonstration.In the algorithm structure design, need to satisfy and take into account real-time and sense of reality display effect.
Be used to represent that the triangle number of landform is very huge on a large scale, many times can not once all data be called in internal memory, need between interior external memory, carry out the scheduling of data according to the conversion of scene.The data volume of the required processing of static method is huge as previously mentioned, employing is provided with threshold value in advance according to the viewpoint factor, the scope and the level of detail that whether exceed threshold value decision scheduling model during operation according to actual conditions, scene tissue and be plotted in pretreatment stage and finish, time of spatial organization's structure of setting up contextual data is much larger than the drafting time.And for huge grid, when viewpoint changed, serious vision kick sense can appear in scheduling different levels detail model, has influenced the effect of real-time demonstration, and was therefore improper to the dynamic scene of real-time change.
Viewpoint position when sight line moves, constantly has new part to come into view along with the object motion in the scene in the dynamic scene, the scene correspondence block tree also along with change, the scheduling of scene and the complexity of simplification increase.If dynamically generate and block tree, cost is very big, even may surpass the drafting time of whole scene.So be fit to the difficult point that the observability algorithm of dynamic scene needs is research.
The full details hierarchical model that does not produce landform is in advance drawn in landform scheduling based on the motion viewpoint, but according to the real time position of movable body in the scene, in drafting, generate the mid-module that has any degrees of detail between initial refined model and the rough model, algorithm is realized by some simple local geometric transformations, do not rely on for the landform scale, be fit to the large-scale terrain simplified models in the scenario simulation.
Summary of the invention
The objective of the invention is at the drafting of landform scene on a large scale, propose a kind ofly can select the terrain rendering scope and carry out the scheduling of the landform on a large scale short-cut method based on the motion viewpoint of Real-Time Scheduling according to the current viewpoint parameter.
The object of the present invention is achieved like this:
Step 1 is carried out pre-service to data, sets up the stored logic model of landform in advance at external memory, and model is carried out landform piecemeal based on quaternary tree, sets up the rough division of multi-resolution models and decision scene level according to the geometric properties of landform;
Step 2 is that the change of viewpoint is written into internal memory with landform logic partitioning model according to the conversion of scene processing stage of in real time, and the data that are written into internal memory are carried out under the condition that satisfies setting screen error threshold τ;
Step 3, according to distance and viewpoint height between viewpoint and the terrain data piece, call in the sub-piece of varying number in internal memory, viewpoint is arranged on the center of scene all the time, along with viewpoint moves, departs from the distance size of scene center according to viewpoint and constantly upgrades scene content, dynamic scheduling and release data, in addition, when deblocking is stored, preserve its corresponding center point coordinate (x c, y c), so that when data are drawn the position of specified data piece.
The present invention can also comprise:
In above-mentioned steps 1, the pre-service of graphic data on a large scale to be mentioned the structure work of model outside the drafting process, original terrain data adopts regular grid GRID DEM, and it is divided into the capable k row of the identical m of size, each sub-piece called after C IjI wherein, j is respectively the row and column at sub-piece place, the lower left corner is initial point, the sub-piece that does not meet the demands for landform range boundary size, additional data area adopts invalid value to fill, and simultaneously the base unit of contextual data piece logical partitioning as data dispatch, keeping the landform physical level according to the landform geometric properties in each terrain block is same resolution.
In above-mentioned steps 2, in the analogue simulation of landform, scene accompany movement viewpoint changes, and calls the logic index value of corresponding terrain block according to viewpoint projected position in the scene, draws scene in the corresponding what comes into a driver's body.
In above-mentioned steps 3, the scheduling of data and release conditions when viewpoint moves, when terrain rendering, the monoblock landform is divided into n even sub-piece, l is each terrain block length of side, setting the viewpoint distance is R, the terrain block scope that the visual field can cover is (2 * (R/l+1)) * (2 * (R/l+1)), core resident data block number is h, h=2 * (R/l+2), dynamically call in the corresponding data file to internal memory according to viewpoint position, dynamically discharge invisible sub-piece and the new sub-piece of scheduling, remaining internal memory mesorelief data is h sub-piece.Fig. 3 is the landform scope that covers in the sight line drop shadow spread.
Correct for the relative position that guarantees an integral terrain of each sub-piece formation when drawing, the crack does not appear between piece and piece, and we have introduced global coordinate system and local coordinate system.The lower left corner with the monoblock landform is initial point, sets up global coordinate system, the x axle horizontal to the right, y axially on, z axle vertical screen is outside.Constitute right-handed coordinate system.Center with each sub-piece is that initial point constitutes local coordinate system simultaneously, and then the coordinate of the initial point of each local coordinate system in global coordinate system promptly is the relative displacement of this sub-piece.We set up the logic index to each sub-piece, like this, need only the corresponding coordinate system of reconstruct and just can guarantee the seamless spliced of all terrain block when drawing.Fig. 2 is that landform is drawn in expression in global coordinate system.
Determine for the observability that is fit to the dynamic scene needs, we take tentatively to look relevant reduce at pretreatment stage, in real time execution, constantly detect the zone of upgrading in the visual line of sight, the data that will drop in the viewing area, temporarily do not have in the internal memory simultaneously are read in the internal memory, the shared memory headroom of temporary transient no data is discharged, and Fig. 4 is the scheduling situation of piecemeal terrain data in internal memory.Wherein dark shaded areas is the landform scope of actual drafting, is core resident landform scope than light shaded areas.Handle like this is in order to guarantee viewpoint when moving, to be not ready for data even thread is drawn in management, the ground v notch v also can not occurring.Fig. 5 divides the block dispatching design flow diagram for landform.
The terrain modeling of traditional maintenance terrain feature keeps the continuity of grid model by complex data structures, summit hierarchical structure.Along with the development of Digital Measuring Technique, available data are more and more in recent years, and the complexity of drawing requires also more and more higher simultaneously.Scene is complicated more, and the effect of demonstration is just true to nature more.But scene is complicated more, and required drafting amount is big more, and the cost of drawing and storing is also high more.If the large scale scene data all are written into internal memory in advance, may cause run-time memory to exceed load, cause very large pressure to graphic hardware, thereby frame rate of display reduces, and does not reach real-time requirement.
The present invention adopts Multigen Creator to set up the megarelief zone, and dynamically arranging of the change of viewpoint and scene adopts the Real Time Drive software Vega of MultiGen company to realize under the VC6.0 environment.Simultaneously texture image is divided into a plurality of even or pieces of varying in size and carries out texture by the zone is corresponding with geometric data.
Description of drawings
Fig. 1 is that the landform zone is drawn in expression in global coordinate system;
Fig. 2 has represented that the projection view frustums covers the landform scope;
Fig. 3 is that algorithm software is drawn process flow diagram;
Fig. 4 is terrain data scheduling situation in internal memory;
Fig. 5 is landform piecemeal scheduling flow figure;
Embodiment
Below in conjunction with accompanying drawing the present invention is described in further detail:
Example one
In the simplification of landform, viewpoint and direction of visual lines have determined the scene viewing area.In the viewpoint moving process, establishing the terrain block that is currently located at the viewpoint center is that (i, j), its centre coordinate is (x i, x j), obtained corresponding data block array M (its size is m * m), the terrain block scope of its covering be (i-l, j-l)~(i+1, j+1), l=m/2 wherein.
When | x-x i| during<m/2, show sight line still in this terrain block, M can cover visual field landform in one's power fully, need not carry out data dispatch.
When | x-x i| during>m/2, show that body has moved to that (i+1 is j) in the terrain block.Though M this moment also can provide and draw required integral terrain data, the M that must upgrade in time is for later drafting is prepared.According to current body position, can declare know terrain block scope that M covers for (i+1-l, j-l)~(i+1+l, j+l).Contrast original data block array, thereby determine to read in (i+1+l, j-l)~(i+1+l, data j+l), release (i-l, j-l)~(i-l, j+l) internal memory of data block.Need read in the data of figure~middle left field, discharge the data of graticule mesh fill area, right side simultaneously.With the x direction is that example moves, originally the projection centre place (i, j) terrain block, mobile backsight point be (i+1, j).
Work as x-x iDuring<-m/2, the terrain block scope that M covers be (i-1-l, j-l)~(i-1+l, j+l), need read in (i-1-l, j-l)~(i-1-l, data j+l), release (i+l, j-l)~(i+l, j+l) internal memory of data block.Work as x-x iDuring<-m/2, need read in the data in zone shown in the right side, discharge the data of graticule mesh fill area, left side simultaneously.
Example two
In order to improve real-time, original mesh is adopted block-based detail LOD terrain rendering to the zones of different of landform, owing to consider triangulation network data structure complexity, the level of detail algorithm is realized difficulty, and it is corresponding with the sub-piece of regular landform therefore to set up multiresolution logic level.Terrain data is taked the average mark segmentation method, and each data block is (2 m+ 1) * (2 m+ 1) square structure, the m value is determined by hardware performance.Realize the overall simplification of landform on a large scale based on quaternary tree terrain data piece, determine level of detail according to distance viewpoint distance and direction of visual lines in the piece.Can support the polygonal region of arbitrary shape by cutting and additional a small amount of data boundary.According to the viewpoint displacement pending deblocking is dynamically called in internal memory, improved the real-time rendering performance, can satisfy the needs of user's real-time, interactive.
Example three
The regular grid sampling can not decide sampled point quantity according to landform, the situation that will occur data redundancy like this, therefore in terrain block, adopt TIN to carry out piece interpolate value and trigonometric ratio, compare with regular grid, the great advantage of TIN can accurately be reproduced landform in sampled data under the intensive and rational prerequisite that distributes, and avoids the flat country data redundancy.The Delaunay triangulation network is doing well aspect the landform match, therefore on piecemeal landform basis, use Delaunay rule reconstruct TIN model, the Delaunay algorithm allows the user to control polygonal quantity, realize maximum landform precision by generating more polygon and generate less polygonal method in mild zone in rugged landform zone, the regular data that utilization obtains is further handled, graticule mesh is divided into triangle, selection wherein some important point directly generates triangle, sets up the TIN model.Methods of Terrain Simplification has improved running efficiency of system in real time, fast.

Claims (5)

1. the landform on a large scale based on the motion viewpoint is dispatched short-cut method, it is characterized in that:
Step 1 is carried out pre-service to data, sets up the stored logic model of landform in advance at external memory, and model is carried out landform piecemeal based on quaternary tree, sets up the rough division of multi-resolution models and decision scene level according to the geometric properties of landform;
Step 2 is that the change of viewpoint is written into internal memory with landform logic partitioning model according to the conversion of scene processing stage of in real time, and the data that are written into internal memory are carried out under the condition that satisfies setting screen error threshold τ;
Step 3, according to distance and viewpoint height between viewpoint and the terrain data piece, call in the sub-piece of varying number in internal memory, viewpoint is arranged on the center of scene all the time, along with viewpoint moves, departs from the distance size of scene center according to viewpoint and constantly upgrades scene content, dynamic scheduling and release data, in addition, when deblocking is stored, preserve its corresponding center point coordinate (x c, y c), so that when data are drawn the position of specified data piece.
2. the scheduling of the landform on a large scale short-cut method based on the motion viewpoint according to claim 1, it is characterized in that: in the step 1, the pre-service of graphic data is on a large scale mentioned the structure work of model outside the drafting process, original terrain data adopts regular grid GRID DEM, it is divided into the capable k row of the identical m of size, each sub-piece called after C IjI wherein, j is respectively the row and column at sub-piece place, the lower left corner is initial point, the sub-piece that does not meet the demands for landform range boundary size, additional data area adopts invalid value to fill, and simultaneously the base unit of contextual data piece logical partitioning as data dispatch, keeping the landform physical level according to the landform geometric properties in each terrain block is same resolution.
3. the scheduling of the landform on a large scale short-cut method based on the motion viewpoint according to claim 1 and 2, it is characterized in that: in the step 2, in the analogue simulation of landform, scene accompany movement viewpoint changes, call the logic index value of corresponding terrain block according to viewpoint projected position in the scene, draw scene in the corresponding what comes into a driver's body.
4. the scheduling of the landform on a large scale short-cut method based on the motion viewpoint according to claim 1 and 2, it is characterized in that: in the step 3, the scheduling of data and release conditions when viewpoint moves, when terrain rendering, the monoblock landform is divided into n even sub-piece, l is each terrain block length of side, setting the viewpoint distance is R, the terrain block scope that the visual field can cover is (2 * (R/l+1)) * (2 * (R/l+1)), core resident data block number is h, h=2 * (R/l+2), dynamically call in the corresponding data file to internal memory according to viewpoint position, dynamically discharge invisible sub-piece and the new sub-piece of scheduling, remaining internal memory mesorelief data is h sub-piece.Fig. 3 is the landform scope that covers in the sight line drop shadow spread.
5. the scheduling of the landform on a large scale short-cut method based on the motion viewpoint according to claim 3, it is characterized in that: in the step 3, the scheduling of data and release conditions when viewpoint moves, when terrain rendering, the monoblock landform is divided into n even sub-piece, l is each terrain block length of side, setting the viewpoint distance is R, the terrain block scope that the visual field can cover is (2 * (R/l+1)) * (2 * (R/l+1)), core resident data block number is h, h=2 * (R/l+2), dynamically call in the corresponding data file to internal memory according to viewpoint position, dynamically discharge invisible sub-piece and the new sub-piece of scheduling, remaining internal memory mesorelief data is h sub-piece.
CN 201110048735 2011-03-01 2011-03-01 Wide-range terrain scheduling simplifying method based on movement of viewpoint Pending CN102074049A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 201110048735 CN102074049A (en) 2011-03-01 2011-03-01 Wide-range terrain scheduling simplifying method based on movement of viewpoint

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 201110048735 CN102074049A (en) 2011-03-01 2011-03-01 Wide-range terrain scheduling simplifying method based on movement of viewpoint

Publications (1)

Publication Number Publication Date
CN102074049A true CN102074049A (en) 2011-05-25

Family

ID=44032577

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 201110048735 Pending CN102074049A (en) 2011-03-01 2011-03-01 Wide-range terrain scheduling simplifying method based on movement of viewpoint

Country Status (1)

Country Link
CN (1) CN102074049A (en)

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102521851A (en) * 2011-11-18 2012-06-27 大连兆阳软件科技有限公司 Batch rendering method for static models
CN103208136A (en) * 2012-07-06 2013-07-17 北京中盈高科信息技术有限公司 Three dimensional image processing method and electronic device
CN103700145A (en) * 2013-12-25 2014-04-02 北京像素软件科技股份有限公司 Method for realizing image simulation
CN103699415A (en) * 2013-12-23 2014-04-02 中国航空工业集团公司第六三一研究所 Efficient terrain data loading method for airborne equipment
CN104613945A (en) * 2015-02-11 2015-05-13 国家海洋局第二海洋研究所 Reconstruction method for terrain of shallow-sea large-sized complicated sand wave area
CN104700413A (en) * 2015-03-20 2015-06-10 中国人民解放军装甲兵工程学院 Real-time dynamic drawing method for vegetation in three-dimensional virtual scene
CN105488838A (en) * 2015-11-30 2016-04-13 中国人民解放军海军航空工程学院 Radar image simulation-oriented terrain environment data representing method
CN105844703A (en) * 2016-03-21 2016-08-10 国网安徽省电力公司宿州供电公司 Three-dimensional terrain simplified algorithm based on high precision DEM data
CN106110656A (en) * 2016-07-07 2016-11-16 网易(杭州)网络有限公司 At the method and apparatus that scene of game calculates route
CN107291223A (en) * 2017-06-07 2017-10-24 武汉大学 A kind of super large data volume virtual reality space Information Visualization System and method
CN108096836A (en) * 2017-12-20 2018-06-01 深圳市百恩互动娱乐有限公司 A kind of method that true man's real scene shooting makes game
CN108335357A (en) * 2018-01-12 2018-07-27 华中科技大学 A method of display three-dimensional reconstruction scene texture
CN108353143A (en) * 2015-11-25 2018-07-31 英特尔公司 Image is projected on irregular shape display surface
CN109064546A (en) * 2018-06-08 2018-12-21 东南大学 A kind of landform image data fast dispatch method and its system
CN109949693A (en) * 2019-04-17 2019-06-28 珠海金山网络游戏科技有限公司 A kind of method for drawing map, calculates equipment and storage medium at device
CN111415414A (en) * 2020-03-24 2020-07-14 江苏数创智能科技发展有限公司 Three-dimensional space information processing method, equipment and storage medium thereof
CN113269062A (en) * 2021-05-14 2021-08-17 彭皓 Artificial intelligence anomaly identification method applied to intelligent education
CN115909858A (en) * 2023-03-08 2023-04-04 深圳市南天门网络信息有限公司 Flight simulation experience system based on VR image

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1753033A (en) * 2005-11-10 2006-03-29 北京航空航天大学 Real time drawing method of vivid three dimensional land form geograpical model
CN101441779A (en) * 2008-12-26 2009-05-27 南京师范大学 Rapid dynamic drafting method of magnanimity digital terrain
CN101593361A (en) * 2009-06-25 2009-12-02 北京航空航天大学 A kind of large-scale terrain rendering system based on double-layer nested grid

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1753033A (en) * 2005-11-10 2006-03-29 北京航空航天大学 Real time drawing method of vivid three dimensional land form geograpical model
CN101441779A (en) * 2008-12-26 2009-05-27 南京师范大学 Rapid dynamic drafting method of magnanimity digital terrain
CN101593361A (en) * 2009-06-25 2009-12-02 北京航空航天大学 A kind of large-scale terrain rendering system based on double-layer nested grid

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
《中国优秀硕士学位论文全文数据库信息科技辑》 20091115 凌实。 大规模LOD模型简化与实时绘制方法研究 摘要、第2页1.2.1节、第9页第二章、第35页第4.1.2节、图4-1、4-2 1-5 , *
《计算机工程与应用》 20061231 李偈,等。 一种基于四叉树结构的动态多分辨率地形模型 第202~204页 1-5 , 第7期 *
《计算机辅助设计与图形学学报》 20090731 张淑军,等。 基于运动估算的多分辨率地形分块调度方法 第881页第1栏至第885页第1栏、图3 1-5 第21卷, 第7期 *

Cited By (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102521851A (en) * 2011-11-18 2012-06-27 大连兆阳软件科技有限公司 Batch rendering method for static models
CN103208136A (en) * 2012-07-06 2013-07-17 北京中盈高科信息技术有限公司 Three dimensional image processing method and electronic device
CN103699415A (en) * 2013-12-23 2014-04-02 中国航空工业集团公司第六三一研究所 Efficient terrain data loading method for airborne equipment
CN103700145A (en) * 2013-12-25 2014-04-02 北京像素软件科技股份有限公司 Method for realizing image simulation
CN104613945A (en) * 2015-02-11 2015-05-13 国家海洋局第二海洋研究所 Reconstruction method for terrain of shallow-sea large-sized complicated sand wave area
CN104700413A (en) * 2015-03-20 2015-06-10 中国人民解放军装甲兵工程学院 Real-time dynamic drawing method for vegetation in three-dimensional virtual scene
CN108353143A (en) * 2015-11-25 2018-07-31 英特尔公司 Image is projected on irregular shape display surface
CN105488838A (en) * 2015-11-30 2016-04-13 中国人民解放军海军航空工程学院 Radar image simulation-oriented terrain environment data representing method
CN105844703A (en) * 2016-03-21 2016-08-10 国网安徽省电力公司宿州供电公司 Three-dimensional terrain simplified algorithm based on high precision DEM data
US10593110B2 (en) 2016-07-07 2020-03-17 Netease (Hangzhou) Network Co., Ltd. Method and device for computing a path in a game scene
CN106110656A (en) * 2016-07-07 2016-11-16 网易(杭州)网络有限公司 At the method and apparatus that scene of game calculates route
CN106110656B (en) * 2016-07-07 2020-01-14 网易(杭州)网络有限公司 Method and device for calculating route in game scene
CN107291223A (en) * 2017-06-07 2017-10-24 武汉大学 A kind of super large data volume virtual reality space Information Visualization System and method
CN108096836A (en) * 2017-12-20 2018-06-01 深圳市百恩互动娱乐有限公司 A kind of method that true man's real scene shooting makes game
CN108096836B (en) * 2017-12-20 2021-05-04 深圳市百恩互动娱乐有限公司 Method for making game by real-person real shooting
CN108335357A (en) * 2018-01-12 2018-07-27 华中科技大学 A method of display three-dimensional reconstruction scene texture
CN109064546A (en) * 2018-06-08 2018-12-21 东南大学 A kind of landform image data fast dispatch method and its system
CN109949693B (en) * 2019-04-17 2021-12-10 珠海金山网络游戏科技有限公司 Map drawing method and device, computing equipment and storage medium
CN109949693A (en) * 2019-04-17 2019-06-28 珠海金山网络游戏科技有限公司 A kind of method for drawing map, calculates equipment and storage medium at device
CN111415414A (en) * 2020-03-24 2020-07-14 江苏数创智能科技发展有限公司 Three-dimensional space information processing method, equipment and storage medium thereof
CN111415414B (en) * 2020-03-24 2023-12-22 江苏数创智能科技发展有限公司 Three-dimensional space information processing method, equipment and storage medium thereof
CN113269062B (en) * 2021-05-14 2021-11-26 食安快线信息技术(深圳)有限公司 Artificial intelligence anomaly identification method applied to intelligent education
CN113269062A (en) * 2021-05-14 2021-08-17 彭皓 Artificial intelligence anomaly identification method applied to intelligent education
CN115909858A (en) * 2023-03-08 2023-04-04 深圳市南天门网络信息有限公司 Flight simulation experience system based on VR image

Similar Documents

Publication Publication Date Title
CN102074049A (en) Wide-range terrain scheduling simplifying method based on movement of viewpoint
CN102323996B (en) Three-dimensional GIS (Geographic Information System) technology based visual state monitoring system for power transmission lines
CN100468461C (en) Real time drawing method of vivid three dimensional land form geograpical model
KR101546703B1 (en) System for processing massive bim data of building
CN108520557B (en) Massive building drawing method with graphic and image fusion
CN103093499B (en) A kind of city three-dimensional model data method for organizing being applicable to Internet Transmission
CN102117500B (en) Three-dimensional modeling method and system
CN102890829B (en) Method for rendering terrain based on graphic processing unit (GPU)
CN102289845B (en) Three-dimensional model drawing method and device
CN106446351A (en) Real-time drawing-oriented large-scale scene organization and scheduling technology and simulation system
KR101546705B1 (en) Method for visualizing building-inside bim data by bim data process terminal
CN105956165B (en) A kind of big file storage organization method of the tile type of three-dimensional modeling data
CN114677467B (en) Terrain image rendering method, device, equipment and computer readable storage medium
CN101593361A (en) A kind of large-scale terrain rendering system based on double-layer nested grid
CN115272637B (en) Large-area-oriented three-dimensional virtual ecological environment visual integration and optimization system
CN103606184A (en) Device based on two-dimensional and three-dimensional integrated vector render engine
CN112070909B (en) Engineering three-dimensional model LOD output method based on 3D Tiles
KR20150124112A (en) Method for Adaptive LOD Rendering in 3-D Terrain Visualization System
CN110935171A (en) Method for loading, optimizing and unitizing live-action three-dimensional model in game engine
CN111221514B (en) OsgEarth-based three-dimensional visualization component implementation method and system
CN112328722A (en) Method and system for rapidly loading three-dimensional GIS (geographic information System) and model data of power transformer substation
KR102096196B1 (en) How to configure model objects, servers, and systems
CN101727681A (en) Pyramid model based grid crack elimination algorithm for drawing massive terrains
CN108010126A (en) Method and system based on voxel structure large-scale complex landform
CN110930509A (en) Linear quad-tree multilayer model driven DEM (digital elevation model) real-time visualization method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C02 Deemed withdrawal of patent application after publication (patent law 2001)
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20110525