CN109783914A - A kind of pretreatment dynamic modelling method and device based on virtual reality emulation - Google Patents
A kind of pretreatment dynamic modelling method and device based on virtual reality emulation Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of pretreatment dynamic modelling method and device based on virtual reality emulation, belong to virtual reality emulation technical field, method includes: creation image output area, area to be output and pretreating zone, obtains operational order by image output area and is shared with pretreating zone and area to be output；In pretreating zone, model attributes and scene properties are obtained according to operational order, model actual property value and scene actual property value are obtained in real time, according to model actual property value and scene actual property value, model and scene are rendered, model and scene rendering sequence are obtained；In area to be output, model and scene rendering sequence and corresponding model and scene are obtained from pretreating zone according to operational order, model and scene are verified, model and scene rendering sequence are finely rendered according to check results, obtain video sequence；In image output area, video is played according to preview mode.So that preprocessed video is more really dissolved into actual environment.
Description
Technical field
The present embodiments relate to virtual reality emulation technical fields, and in particular to a kind of based on the pre- of virtual reality emulation
Handle dynamic modelling method and device.
Background technique
Virtual reality technology is a kind of computer simulation system that can be created with the experiencing virtual world, it utilizes computer
A kind of simulated environment is generated, is that a kind of Multi-source Information Fusion, interactive Three-Dimensional Dynamic what comes into a driver's and the system of entity behavior are imitative
Really it is immersed to user in the environment.Virtual reality technology mainly includes simulated environment, perception, natural technical ability and sensing equipment etc.
Aspect.Simulated environment be generated by computer, dynamic 3 D stereo photorealism in real time.Perception refers to ideal virtual existing
There should be perception possessed by all people in fact.In addition to computer graphics techniques visual perception generated, there are also the sense of hearings, touching
The perception such as feel, power feel, movement, or even further include smell and sense of taste etc., also referred to as perceive more.Natural technical ability refers to that the head of people turns
Dynamic, eyes, gesture or other human body behavior acts are handled the data adaptable with the movement of participant by computer, and right
Real-time response is made in the input of user, and feedback arrives the face of user respectively.
Compared with the New Media Art under traditional window-operating, the human-computer dialogue of interactivity and extension is VR unique advantage
Key point.It, can be using the shape of more natural human-computer interaction means control works by the application to technologies such as VR, AR
Formula moulds irrealizable dream under the more art environment of feeling of immersion and reality, and assigns the process of creation with new
Meaning.Such as the interactive device system with VR property can be set spectators and pass through the interaction channel of multiple sense organ and pass through dress
The process set, artist can promote communication between participant and works and anti-by the smooth cooperation of software and hardware
Feedback, creates good property of participation and controllability；Motion capture, the behavior of storage access person can also be carried out by video clip
Segment, based on the consciousness enhancement for keeping participant, synchronous projection reinforcing effect and refigure, processed image；
By forms such as augmented reality, mixed realities, digital world and real world are combined together.
The inventors discovered that transferring phase by program trigger switch in the application field combined with reality scene
The action command answered shows pre-set scene, and in the process, pre-set scene and reality scene can not
Fusion well, and then false body-sensing is brought to user.
Summary of the invention
For this purpose, the embodiment of the present invention provides a kind of pretreatment dynamic modelling method and device based on virtual reality emulation,
It can not be merged well with the scene for solving the problems, such as pre-set caused by the prior art with reality scene.
To achieve the goals above, embodiments of the present invention provide the following technical solutions:
The first aspect of the present invention provides a kind of pretreatment dynamic modelling method based on virtual reality emulation, comprising:
Image output area, area to be output, pretreating zone are created, operational order is obtained by described image output area, and will
The operational order is distributed to the pretreating zone and the area to be output；
In the pretreating zone, model attributes and scene properties in pretreating zone are obtained according to the operational order,
Model actual property value and scene actual property value are obtained in real time, are belonged to according to the model actual property value and the scene are practical
Property value, in the pretreating zone model and scene render, save the obtained model of rendering and scene rendering sequence；
In the area to be output, according to the operational order from the pretreating zone, the model and scene are obtained
Sequence and corresponding model and scene are rendered, the model and scene that get are verified, according to check results to the mould
Type is finely rendered with scene rendering sequence, and preservation finely renders obtained video sequence；
In described image output area, preview mode is obtained, obtains correspondence from area to be output according to the operational order
Video sequence, play video according to preview mode.
In another embodiment, the creation image output area, area to be output, pretreating zone, comprising:
Image output area is created, according to the size dynamic creation area to be output of described image output area, according to described image
The size of output area and the size in the area to be output create pretreating zone.
In another embodiment, described in the pretreating zone, pre- place is obtained according to the operational order
The model attributes and scene properties in area are managed, obtain model actual property value and scene actual property value in real time, comprising:
In the pretreating zone, preview instruction sequence is generated according to the operational order；
The model that will be used in the pretreating zone is obtained according to the preview instruction sequence；
According to the model that will be used, the preassembled collected data of various sensors are obtained in real time, and right
Collected data are analyzed, and model actual property value and scene actual property value are obtained.
In another embodiment, described according to the model actual property value and the scene actual attribute
Value, in the pretreating zone model and scene render, save the obtained model of rendering and scene rendering sequence, packet
It includes:
Each model attributes value, each graphic attribute value, each scene properties value, each material attribute value out of described pretreating zone
In, it obtains and the model actual property value and the matched model of the scene actual property value, figure, scene, material；
According to the model actual property value and the matched model of the scene actual property value, figure, scene, element
Material renders the model that will use in pretreating zone, scene using graphics rendering engine and physics renders engine, saves
Render obtained model and scene rendering sequence.
In another embodiment of the invention, it is described according to check results to the model and the fine wash with watercolours of scene rendering sequence
Dye, preservation finely render obtained video sequence, comprising:
Current model and current scene are obtained according to operational order, by the current model and current scene point
It is not compared with the model and scene got from pretreating zone, if model and scene difference are identical, to the model
It is finely rendered with scene rendering sequence, preservation finely renders obtained video sequence.
The second aspect of the present invention provides a kind of pretreatment dynamic modeling device based on virtual reality emulation, comprising:
Workspace creation module, for creating image output area, area to be output, pretreating zone；
Distribution module is instructed, for obtaining operational order by described image output area, and the operational order is distributed
To the pretreating zone and the area to be output；
Preprocessing module, for obtaining the model in pretreating zone according to the operational order in the pretreating zone
Attribute and scene properties obtain model actual property value and scene actual property value, according to the model actual property value in real time
With the scene actual property value, in the pretreating zone model and scene render, save the obtained model of rendering
With scene rendering sequence；
Module to be output, for according to the operational order from the pretreating zone, obtaining in the area to be output
The model and scene rendering sequence and corresponding model and scene, verify the model and scene that get, according to school
It tests result finely to render the model and scene rendering sequence, preservation finely renders obtained video sequence；
Image output module obtains preview mode in described image output area, according to the operational order to
Corresponding video sequence is obtained in output area, plays video according to preview mode.
The workspace creation module is specifically used for creation image output area, dynamic according to the size of described image output area
State creates area to be output, creates pretreating zone according to the size of described image output area and the size in the area to be output.
The preprocessing module, for generating preview instruction sequence according to the operational order in the pretreating zone,
The model that will be used in the pretreating zone is obtained according to the preview instruction sequence, according to the model that will be used,
The preassembled collected data of various sensors are obtained in real time, and collected data are analyzed, and obtain model reality
Border attribute value and scene actual property value.
The preprocessing module is also used to each model attributes value, each graphic attribute value, each scene out of described pretreating zone
In attribute value, each material attribute value, obtain with the model actual property value and the matched model of the scene actual property value,
Figure, scene, material, according to the model actual property value and the matched model of the scene actual property value, figure, field
Scape, material, using graphics rendering engine and physics renders engine to model, the scene progress wash with watercolours that will be used in pretreating zone
Dye saves model and scene rendering sequence that rendering obtains.
In third aspect present invention, a kind of electronic equipment of pretreatment dynamic modeling based on virtual reality emulation is provided,
Include:
Figure acquisition unit, the operational order issued for receiving controller adjust Posture acquisition model actual property value
With scene actual property value, and the model actual property value and the scene actual property value are sent to the controller；
Controller is obtained by described image output area and is grasped for creating image output area, area to be output, pretreating zone
It instructs, and the operational order is distributed to the pretreating zone and the area to be output；
For obtaining the model attributes and scene category in pretreating zone according to the operational order in the pretreating zone
Property, the collected model actual property value of the figure acquisition unit and scene actual property value are obtained in real time, according to the mould
Type actual property value and the scene actual property value, corresponding model and scene are obtained from server, is rendered, and are saved
Render obtained model and scene rendering sequence；
For in the area to be output, according to the operational order from the pretreating zone, obtain the model with
Scene rendering sequence and corresponding model and scene verify the model and scene that get, according to check results to institute
It states model finely to render with scene rendering sequence, preservation finely renders obtained video sequence；
It is also used in described image output area, obtains preview mode, obtained from area to be output according to the operational order
Corresponding video sequence is taken, plays video according to preview mode；
Server, for storing each model and each scene.
Fourth aspect present invention provides a kind of computer readable storage medium, the computer-readable recording medium storage
There are computer executable instructions, may be implemented when the instruction is executed by processor as described above based on virtual reality emulation
Pre-process dynamic modelling method.
Embodiment according to the present invention has the advantages that by creating image output area, area to be output, pretreatment
Area shares operational order and area to be output, pretreating zone that image output area is got, so that area to be output and pretreating zone
It is able to carry out pre-processing, generates corresponding model, scene, even video sequence, so that image output area is operated in response
When instruction, more quickly, convenient.Further, the present invention by area to be output to the checking treatment of model and scene, then it is right
The model saved in pretreating zone is finely rendered with scene rendering sequence, greatly improves the rendering of virtual reality scenario
Speed, and by checking treatment, it ensure that pretreatment scene is consistent with model with actual scene, the video for obtaining rendering is more
To be really dissolved into actual environment.
Detailed description of the invention
It, below will be to embodiment party in order to illustrate more clearly of embodiments of the present invention or technical solution in the prior art
Formula or attached drawing needed to be used in the description of the prior art are briefly described.It should be evident that the accompanying drawings in the following description is only
It is merely exemplary, it for those of ordinary skill in the art, without creative efforts, can also basis
The attached drawing of offer, which is extended, obtains other implementation attached drawings.
Fig. 1 is a kind of pretreatment dynamic modelling method stream based on virtual reality emulation that one embodiment of the invention provides
Cheng Tu；
Fig. 2 is the refined flow chart for the step 103 that one embodiment of the invention provides；
Fig. 3 is a kind of pretreatment dynamic modeling device based on virtual reality emulation that another embodiment of the present invention provides
Structural schematic diagram；
Fig. 4 is the structural schematic diagram for the preprocessing module 203 that another embodiment of the present invention provides；
Fig. 5 is a kind of pretreatment dynamic modeling system based on virtual reality emulation that another embodiment of the present invention provides
Work flow diagram；
Fig. 6 is a kind of electricity for pretreatment dynamic modeling based on virtual reality emulation that another embodiment of the present invention provides
Sub- device structure schematic diagram；
Fig. 7 is a kind of pretreatment dynamic modeling system based on virtual reality emulation that another embodiment of the present invention provides
Working region figure；
Fig. 8 is a kind of pretreatment dynamic modelling method based on virtual reality emulation that another embodiment of the present invention provides
Middle pretreating zone work flow diagram；
Fig. 9 is a kind of pretreatment dynamic modelling method based on virtual reality emulation that another embodiment of the present invention provides
In area's work flow diagram to be output；
Figure 10 is a kind of pretreatment dynamic modeling side based on virtual reality emulation that another embodiment of the present invention provides
Image output area work flow diagram in method.
In figure: 201 being workspace creation module, 202 be instruction distribution module, 203 be preprocessing module, 204 for defeated
Module, 205 are image output module out, 2031 be preview module, 2032 be model prediction module, 2033 be model extraction mould
Block, 2034 are sketch rendering module, 301 are figure acquisition unit, 302 are controller, 303 are server.
Specific embodiment
Embodiments of the present invention are illustrated by particular specific embodiment below, those skilled in the art can be by this explanation
Content disclosed by book is understood other advantages and efficacy of the present invention easily, it is clear that described embodiment is the present invention one
Section Example, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
In the first aspect of the present invention, a kind of pretreatment dynamic modelling method based on virtual reality emulation is provided, specifically
As shown in Figure 1, comprising:
Step 101: creation image output area creates area to be output according to image output area, according to image output area and to
Output area creates pretreating zone.
In embodiments of the present invention, it is fixed to carry out the different division of labor to each workspace by three workspaces of creation for system
Justice makes three workspaces cooperate cooperation, quickly handles data, enhances user experience.System creation image output area, with
Output video is shown in the workspace, according to the size dynamic creation area to be output of image output area, so that image output area
Size matches between area to be output.It is prejudged by various quality, according to the size of the size of image output area and area to be output
Pretreating zone is created, further matches the size between three workspaces, so that model, field in the processing of each workspace
Scape and video are mutually matched, and avoid the problem that leading to distortion because workspace size mismatches.
Step 102: operational order being obtained by image output area, and distributes them to pretreating zone and area to be output.
In embodiments of the present invention, by the operational order of the acquisition user in image output area, understand user is system
Operational order is distributed to other two workspace by the video that will be used, so that another two workspace is able to carry out pre-processing,
Corresponding model, scene, even video sequence are generated, so that image output area is when responding operational order, more rapidly, just
It is prompt.
Step 103: in pretreating zone, model attributes and scene properties in pretreating zone are obtained according to operational order,
Model actual property value and scene actual property value are obtained in real time, are used according to model actual property value and scene actual property value
Rendering engine, in pretreating zone model and scene render, save the obtained model of rendering and scene rendering sequence.
In embodiments of the present invention, this step is specifically as shown in Figure 2, comprising:
Step 1031: in pretreating zone, preview instruction sequence being generated according to operational order；
In embodiments of the present invention, according to operational order, for example promote, retreat, scaling, rotating, checking, grabbing, making an inspection tour,
Roaming etc. generates preview instruction by the analysis to these instruction actions, and preview instruction refers to what client or system will use
Next action command.
Step 1032: the model that will be used in pretreating zone is obtained according to preview instruction sequence；
In embodiments of the present invention, obtain the model that will use by previewing the priority of instruction sequence, and to its into
The subsequent pretreatment operation of row.
This step further include: obtain each model attributes, the corresponding graphic attribute of each model, each scene properties in pretreating zone
And the corresponding material attribute of each scene, and establish and map with presetting database.
Step 1033: according to the model that will be used, the preassembled collected data of various sensors are obtained in real time,
And collected data are analyzed, model actual property value and scene actual property value are obtained, from pretreating zone Nei Gemo
Type attribute value, each scene properties value, in each material attribute value, obtains and model actual property value and scene each graphic attribute value
The matched model of actual property value, figure, scene, material；
In embodiments of the present invention, preassembled various sensings corresponding with scene in pretreating zone and model are obtained
Device obtains the collected data of each sensor, and by after these Data Analysis Services, finds each model attributes interface that is corresponding to it
Attribute variable's assignment is carried out with graphic attribute and the material attribute used.
Step 1034: according to model actual property value and the matched model of scene actual property value, figure, scene, element
Material renders the model that will use in pretreating zone, scene using graphics rendering engine and physics renders engine, saves
Render obtained model and scene rendering sequence.
In embodiments of the present invention, searched in the working range of pretreating zone it is all will use variation scenes and
Corresponding model carries out the change of property parameters to the model in the scene of variation by obtaining external data variable, generates new
Model, re-form completely new scene, enable rendering engine and carry out sketch rendering, form rendering sequence, and save.
Step 104: in area to be output, obtaining the model and scene wash with watercolours saved from pretreating zone according to operational order
Sequence and corresponding model and scene are contaminated, the model and scene that get are verified, carries out fine wash with watercolours according to check results
Dye, preservation finely render obtained video sequence；
In embodiments of the present invention, the size, that is, display size for obtaining image output area, according to the size of image output area
Dynamic creation area to be output forms preview instruction sequence according to operational order, is obtained from pretreating zone according to preview instruction sequence
Take the model that has saved and scene rendering sequence and its corresponding model and scene, according to operational order obtain current model and
Current scene compares current model and current scene with the model and scene got from pretreating zone respectively
Compared with, if the two is all the same, model and scene rendering sequence are finely rendered, preservation finely render obtained video sequence
Column；If the two at least exists, one is not identical, rendering is re-started according to current model and current scene, to what is obtained
Model and sequence of scenes after rendering are finely rendered again.
It should be noted that further including in the embodiment of the present invention further includes life before verifying to model and scene
At time series, the corresponding model saved and scene rendering sequence are obtained according to the priority of time series, then carry out phase
The verification operation answered is matched with the model for guaranteeing that pretreating zone saves with scene rendering sequence with currently practical scene.
By area to be output to the checking treatment of model and scene, then to the model and scene wash with watercolours saved in pretreating zone
Dye sequence is finely rendered, and the rendering speed of virtual reality scenario is greatly improved, and by checking treatment, ensure that pre-
Processing scene and model are more really dissolved into actual environment, and the video for obtaining rendering is more true.
Step 105: in image output area, obtaining preview mode, obtain correspondence from area to be output according to operational order
Video sequence, play video according to preview mode.
In embodiments of the present invention, image output area obtains operational order, the operation that user will carry out is understood, by its point
Other two workspace is issued, realizes that operational order is shared, so that another two workspace is included to the operational order in advance
Scene, model, video are pre-processed and are saved.So that image output area can quickly be obtained when executing operational order
Corresponding video is got, reaction speed is substantially increased, enhances user experience.
In the second aspect of the present invention, a kind of pretreatment dynamic modeling device based on virtual reality emulation, such as Fig. 3 are provided
It is shown, comprising:
Workspace creation module 201 creates area to be output according to image output area for creating image output area, according to
Image output area and area to be output create pretreating zone；
In embodiments of the present invention, device builds three workspaces by creating workspace creation module 201, to each workspace
Different division of labor definition is carried out, so that three workspaces is cooperated cooperation, quickly handles data, enhance user experience.Creation figure
As output area, to show output video in the workspace.According to the size dynamic creation area to be output of image output area, so that
Size between image output area and area to be output is obtained to match.Prejudged by various quality, according to the size of image output area and to
The size of output area creates pretreating zone, further matches the size between three workspaces, so that at each workspace
Model, scene and the video of reason are mutually matched, and avoid the problem that leading to distortion because workspace size mismatches.
Instruct distribution module 202, for by image output area obtain operational order, and distribute them to pretreating zone and
Area to be output；
In embodiments of the present invention, instruction distribution module 202 by image output area obtain user operational order,
Understand the video that will use of user, operational order be distributed to other two workspace, enable another two workspace into
Row pre-processes, and generates corresponding model, scene, even video sequence, so that image output area is when responding operational order,
More rapidly, convenient.
Preprocessing module 203, in pretreating zone, according to operational order obtain model attributes in pretreating zone and
Scene properties obtain model actual property value and scene actual property value in real time, practical according to model actual property value and scene
Attribute value uses rendering engine, in pretreating zone model and scene render, save the obtained model of rendering and scene
Render sequence.
In embodiments of the present invention, preprocessing module 203 is specific as shown in Figure 4, comprising:
Module 2031 is previewed, for generating preview instruction sequence according to operational order in pretreating zone；
In embodiments of the present invention, module 2031 is previewed, is specifically used for according to operational order, for example promotes, retreat, contracting
It puts, rotate, check, grab, make an inspection tour, roam, preview instruction is generated by the analysis to these instruction actions, preview instruction is
Refer to next action command that client or system will use.
Model prediction module 2032, for obtaining the model that will be used in pretreating zone according to preview instruction sequence；
In embodiments of the present invention, model prediction module 2032 is obtained specifically for the priority by previewing instruction sequence
The model that will be used is taken, and subsequent pretreatment operation is carried out to it.Model prediction module 2032 is also used to obtain pretreatment
Each model attributes, the corresponding graphic attribute of each model, each scene properties and the corresponding material attribute of each scene in area, and with it is pre-
If Database maps.
Model extraction module 2033, for obtaining preassembled various sensors in real time according to the model that will be used
Collected data, and analyzing collected data, obtain model actual property value and scene actual property value, from pre-
Each model attributes value in treatment region, each scene properties value, in each material attribute value, obtains practical with model each graphic attribute value
Attribute value and the matched model of scene actual property value, figure, scene, material；
In embodiments of the present invention, model extraction module 2033 is specifically used for obtaining and scene and model in pretreating zone
Corresponding preassembled various sensors obtain the collected data of each sensor, and by after these Data Analysis Services, look for
To being corresponding to it each model attributes interface and graphic attribute and the material attribute that uses carries out attribute variable's assignment.
Sketch rendering module 2034, for according to model actual property value and the matched model of scene actual property value,
Figure, scene, material, using graphics rendering engine and physics renders engine to will be used in pretreating zone model, scene
It is rendered, saves the model and scene rendering sequence that rendering obtains.
In embodiments of the present invention, sketch rendering module 2034, specifically for being searched in the working range of pretreating zone
All scenes that will use variation and corresponding model, by obtaining external data variable, to the mould in the scene of variation
Type carries out the change of property parameters, generates new model, re-forms completely new scene, enables rendering engine and carries out sketch rendering,
Rendering sequence is formed, and is saved.
Module 204 to be output, for obtaining the mould saved from pretreating zone according to operational order in area to be output
Type and scene rendering sequence and corresponding model and scene, verify the model and scene that get, according to check results
It is finely rendered, preservation finely renders obtained video sequence；
In embodiments of the present invention, module 204 to be output, the size specifically for obtaining image output area show ruler
It is very little, according to the size dynamic creation area to be output of image output area, preview instruction sequence is formed according to operational order, according to preview
Instruction sequence obtains the model that has saved and scene rendering sequence and its corresponding model and scene from pretreating zone, according to behaviour
Make instruction and obtain current model and current scene, current model and current scene are obtained with from pretreating zone respectively
The model and scene got are compared, and will finely be rendered according to check results, and preservation finely renders obtained video sequence
Column.
It should be noted that further including time module in the embodiment of the present invention, for being verified to model and scene
Before further include generating time series, the corresponding model saved and scene rendering sequence are obtained according to the priority of time series
Column, then corresponding verification operation is carried out, to guarantee the model and scene rendering sequence and currently practical scene of pretreating zone preservation
Matching.
In embodiments of the present invention, by area to be output to the checking treatment of model and scene, then in pretreating zone
The model of preservation is finely rendered with scene rendering sequence, greatly improves the rendering speed of virtual reality scenario, and lead to
Checking treatment is crossed, ensure that pretreatment scene and model are more really dissolved into actual environment, the video for obtaining rendering is more
It is true.
Image output module 205 obtains preview mode in image output area, according to operational order to be output
Corresponding video sequence is obtained in area, plays video according to preview mode.
In embodiments of the present invention, image output module 205 are specifically used for obtaining operational order in image output area,
The operation that solution user will carry out distributes them to other two workspace, realizes that operational order is shared, for another two work
Scene that area is included to the operational order in advance, model, video are pre-processed and are saved.So that image output area is being held
When row operational order, it can be rapidly obtained corresponding video, substantially increase reaction speed, enhance user experience.
In still another embodiment of the process, pretreating zone is denoted as region 3, corresponding workflow is as shown in Figure 8.It will be to
Output area is denoted as the 2nd region, and corresponding work flow diagram is as shown in Figure 9.Image output area schematic diagram is denoted as the 1st region,
Corresponding work flow diagram is as shown in Figure 10.
In the third aspect of the present invention, an embodiment is provided to illustrate a kind of pretreatment based on virtual reality emulation
Dynamic modelling method.
This project involved by the present embodiment will emulate the freeway traffic scene that a length is 5 kilometers, and scene includes
Plains region, the mountain ridge, gully, main foundation facility include that highway, interchange, bridge, tunnel, service area etc. are important
Target object, project assorted facility include: protective fence, Anti-collision barrel, advices plate, lamp stand, identifier marking, antiglare shield, center isolation
Band, cone bucket, monitoring device, lighting apparatus, power supply unit, safety devices, landscaping specifically include that flowers and plants, green plant, trees,
Flying bird, building, traffic simulation object specifically include that vehicle (dividing according to national standards), pedestrian and other objects.
Due to requiring simulated whole project to be consistent completely with actual items, all models are all made of 1:1 and build
Mould, it is involved to specifically include that the illusory engine of UE4, C++, 3D MAX, AUTO CAD, unity 3D etc. using application software, but
It is not limited only to use above Software for producing.
Detail: the scene integrally emulated will include traffic behavior, ambient condition as the actual traffic of outfield, wherein
Traffic behavior includes unimpeded, congestion, blocking, it is desirable that and simulated vehicle will be also consistent as far as possible with the actual vehicle in outfield,
Such as: the important informations such as vehicle, color, brand, license plate, lane, position, traveling where driving status specifically includes that
Speed.Ambient condition specifically includes that time environmental change in 24 hour, four seasons environmental change, the variation of various weather environments, middle ring
Border variation refers to that simulated object or scene can realize corresponding object in different weather, different time, Various Seasonal
Manage attribute variation, such as snow road surface and trees building bleach.
System operatio checks requirement: operator can be by the first person either third person, using fixed point, rotation
Turn, promote, retreating, path roams, overlooks, following etc. and checking target object and scene.
Historical Reenactment checks mode, refers to and is obtaining target object motion profile and the ring at that time at that time for being tracked emulation
These data are imported into system by border variable quantity again, enable a system to reappear scene at that time.
By finding that all emulation link almost all are based on simulated target pair to the actual analysis of project above
As, object, ambient enviroment variable and quickly change model appearance, physical attribute, repeat modeling etc..In order to reach requirements above
System must there are enough external data interfaces to receive these object variables, will set model material, the figure built up in advance
Material and matched system plugin import in system database in case when system dynamic modeling, uses.
In the embodiment of the present invention, a kind of workflow such as figure of the pretreatment dynamic modeling system based on virtual reality emulation
Shown in 5.It is obtained to simulate with external environment, object, scene, the true effect for belonging to striking resemblances, external data variable
It is essential for taking.Processing screening, fusion, the generation of these data are all a very the key links, then passed through
The calculation process of these physical attributes can just make showing for simulated object or scene and result that will become more true
It is real credible.For variable, we can be defined as internal system variable according to the fruiting characteristic that system is realized again and exterior becomes
Amount.
Wherein, system variable specifically includes that internal system variable and exterior variable, internal system variable include display
Variable, performance variable, characteristic variable.Further, display variable include: picture fltting speed, the first visual angle, third visual angle,
Analog video camera focal length, analog video camera lay height, analog video camera direction of propulsion.Performance variable include: rotation, amplification,
It reduces, mobile, its dependent variable.
Exterior variable includes environmental variance, time variable, physical attribute variable and space variable.Environmental variance packet
It includes: rain, snow, mist, haze, sand and dust, wind direction, wind speed, illumination, light intensity, humidity, air pressure, coefficient of friction, integrated gas, other environment
Variable.When time variable includes:, minute, second, the moon, day, year, spring, summer, autumn, winter, daytime, night, morning, noon, dusk, sunrise, day
It falls and other times variable.Physical attribute variable includes: color, size, height, length, width, type, area etc..Space
Variable includes but is not limited to distance, speed, direction, position, angle.
Wherein, external data variable has a various sensors for being mounted on both sides of the road mainly to obtain data acquisition and summarize
Function, internal data variable are mainly that the role action obtained in operator and figure instructs to obtain.
The realization process of the pretreated dynamic modeling technology of system is explained in detail:
For overlooking and check that movement shows for scaling, wherein image output area refers to that operator can be by showing equipment
The part watched in real time, and area to be output is then in next diminution action process, system will be at all data wholes
Reason such as finishes at the region to be shown, and pretreating zone is then that system is obtaining various external datas and combining local data fusion warp
After crossing rendering processing, the part for entering area to be output is waited.Pass through this continuous progressive processing mode, it will be able to quickly generate simultaneously
Belong to the dynamic scene and model of high quality.
By finding that all emulation link almost all are based on simulated target pair to the actual analysis of project above
As, object, ambient enviroment variable and quickly change model appearance, physical attribute, repeat modeling etc..In order to reach requirements above
System must there are enough external data interfaces to receive these object variables, will set model material, the figure built up in advance
Material and matched system plugin import in system database in case when system dynamic modeling, uses.
In the fourth aspect of the present invention, the electronics for providing a kind of pretreatment dynamic modeling based on virtual reality emulation is set
It is standby, as shown in Figure 6, comprising:
Figure acquisition unit 301, the operational order issued for receiving controller adjust Posture acquisition model actual attribute
Value and scene actual property value, and the model actual property value and the scene actual property value are sent to the controller
302；
Controller 302 is connect with the figure acquisition unit 301 and server 303 respectively, for creating image output
Area, area to be output, pretreating zone obtain operational order by described image output area, and the operational order are distributed to institute
State pretreating zone and the area to be output；
For obtaining the model attributes and scene category in pretreating zone according to the operational order in the pretreating zone
Property, the collected model actual property value of the figure acquisition unit 302 and scene actual property value are obtained in real time, according to described
Model actual property value and the scene actual property value obtain corresponding model and scene from server 303, carry out wash with watercolours
Dye saves model and scene rendering sequence that rendering obtains；
For in the area to be output, according to the operational order from the pretreating zone, obtain the model with
Scene rendering sequence and corresponding model and scene verify the model and scene that get, according to check results to institute
It states model finely to render with scene rendering sequence, preservation finely renders obtained video sequence；
It is also used in described image output area, obtains preview mode, obtained from area to be output according to the operational order
Corresponding video sequence is taken, plays video according to preview mode；
Server 303, for storing each model and each scene.
Fifth aspect present invention provides a kind of computer readable storage medium, the computer-readable recording medium storage
There are computer executable instructions, may be implemented when the instruction is executed by processor as described above based on virtual reality emulation
Pre-process dynamic modelling method.
In embodiments of the present invention, by creating image output area, area to be output, pretreating zone, image output area is obtained
The operational order got and area to be output, pretreating zone are shared, so that area to be output and pretreating zone are able to carry out pre-processing,
Corresponding model, scene, even video sequence are generated, so that image output area is when responding operational order, more quickly, just
It is prompt.Further, the present invention by area to be output to the checking treatment of model and scene, then to having saved in pretreating zone
Model is finely rendered with scene rendering sequence, greatly improves the rendering speed of virtual reality scenario, and passes through verification
Processing ensure that pretreatment scene and model are more really dissolved into actual environment, and the video for obtaining rendering is more true.
Although above having used general explanation and specific embodiment, the present invention is described in detail, at this
On the basis of invention, it can be made some modifications or improvements, this will be apparent to those skilled in the art.Therefore,
These modifications or improvements without departing from theon the basis of the spirit of the present invention are fallen within the scope of the claimed invention.
Claims (10)
1. a kind of pretreatment dynamic modelling method based on virtual reality emulation characterized by comprising
Image output area, area to be output, pretreating zone are created, operational order is obtained by described image output area, and will be described
Operational order is distributed to the pretreating zone and the area to be output；
In the pretreating zone, model attributes and scene properties in pretreating zone are obtained according to the operational order, in real time
Model actual property value and scene actual property value are obtained, according to the model actual property value and the scene actual attribute
Value, in the pretreating zone model and scene render, save the obtained model of rendering and scene rendering sequence；
In the area to be output, according to the operational order from the pretreating zone, the model and scene rendering are obtained
Sequence and corresponding model and scene verify the model and scene that get, according to check results to the model with
Scene rendering sequence finely renders, and preservation finely renders obtained video sequence；
In described image output area, preview mode is obtained, corresponding view is obtained from area to be output according to the operational order
Frequency sequence plays video according to preview mode.
2. the method as described in claim 1, which is characterized in that
The creation image output area, area to be output, pretreating zone, comprising:
Creation image output area is exported according to the size dynamic creation area to be output of described image output area according to described image
The size in area and the size in the area to be output create pretreating zone.
3. the method as described in claim 1, which is characterized in that it is described in the pretreating zone, according to the operational order
The model attributes and scene properties in pretreating zone are obtained, obtain model actual property value and scene actual property value, packet in real time
It includes:
In the pretreating zone, preview instruction sequence is generated according to the operational order；
The model that will be used in the pretreating zone is obtained according to the preview instruction sequence；
According to the model that will be used, the preassembled collected data of various sensors are obtained in real time, and to acquisition
To data analyzed, obtain model actual property value and scene actual property value.
4. method as claimed in claim 3, which is characterized in that described real according to the model actual property value and the scene
Border attribute value, in the pretreating zone model and scene render, save the obtained model of rendering and scene rendering sequence
Column, comprising:
From model attributes value each in the pretreating zone, each graphic attribute value, each scene properties value, each material attribute value, obtain
It takes and the model actual property value and the matched model of the scene actual property value, figure, scene, material；
According to the model actual property value and the matched model of the scene actual property value, figure, scene, material, adopt
The model that will use in pretreating zone, scene are rendered with graphics rendering engine and physics renders engine, save rendering
Obtained model and scene rendering sequence.
5. a kind of pretreatment dynamic modeling device based on virtual reality emulation characterized by comprising
Workspace creation module, for creating image output area, area to be output, pretreating zone；
Distribution module is instructed, for obtaining operational order by described image output area, and the operational order is distributed to institute
State pretreating zone and the area to be output；
Preprocessing module, for obtaining the model attributes in pretreating zone according to the operational order in the pretreating zone
And scene properties, model actual property value and scene actual property value are obtained in real time, according to the model actual property value and institute
State scene actual property value, in the pretreating zone model and scene render, save the obtained model of rendering and field
Scape renders sequence；
Module to be output is used in the area to be output, according to the operational order from the pretreating zone, described in acquisition
Model and scene rendering sequence and corresponding model and scene, verify the model and scene that get, are tied according to verification
Fruit finely renders the model and scene rendering sequence, and preservation finely renders obtained video sequence；
Image output module obtains preview mode in described image output area, according to the operational order to be output
Corresponding video sequence is obtained in area, plays video according to preview mode.
6. device as claimed in claim 5, which is characterized in that
The workspace creation module is specifically used for creation image output area, is created according to the size of described image output area dynamic
Area to be output is built, pretreating zone is created according to the size of described image output area and the size in the area to be output.
7. device as claimed in claim 5, which is characterized in that
The preprocessing module, for generating preview instruction sequence according to the operational order in the pretreating zone, according to
The preview instruction sequence obtains the model that will be used in the pretreating zone, according to the model that will be used, in real time
The preassembled collected data of various sensors are obtained, and collected data are analyzed, obtain the practical category of model
Property value and scene actual property value.
8. device as claimed in claim 7, which is characterized in that
The preprocessing module is also used to each model attributes value, each graphic attribute value, each scene properties out of described pretreating zone
In value, each material attribute value, obtain and the model actual property value and the matched model of the scene actual property value, figure
Shape, scene, material, according to the model actual property value and the matched model of the scene actual property value, figure, field
Scape, material, using graphics rendering engine and physics renders engine to model, the scene progress wash with watercolours that will be used in pretreating zone
Dye saves model and scene rendering sequence that rendering obtains.
9. a kind of electronic equipment of the pretreatment dynamic modeling based on virtual reality emulation characterized by comprising
Figure acquisition unit, the operational order issued for receiving controller adjust Posture acquisition model actual property value and field
Scape actual property value, and the model actual property value and the scene actual property value are sent to the controller；
Controller is connect with the figure acquisition unit and server respectively, for creating image output area, area to be output, pre-
Treatment region obtains operational order by described image output area, and the operational order is distributed to the pretreating zone and institute
State area to be output；
For obtaining model attributes and scene properties in pretreating zone according to the operational order in the pretreating zone,
The collected model actual property value of the figure acquisition unit and scene actual property value are obtained in real time, it is real according to the model
Border attribute value and the scene actual property value, corresponding model and scene are obtained from server, is rendered, and save rendering
Obtained model and scene rendering sequence；
For according to the operational order from the pretreating zone, obtaining the model and scene in the area to be output
Sequence and corresponding model and scene are rendered, the model and scene that get are verified, according to check results to the mould
Type is finely rendered with scene rendering sequence, and preservation finely renders obtained video sequence；
It is also used in described image output area, obtains preview mode, obtained from area to be output according to the operational order pair
The video sequence answered plays video according to preview mode；
Server, for storing each model and each scene.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer executable instructions,
It is characterized in that, it is described in any item based on virtual existing that claim 1-4 as above may be implemented when the instruction is executed by processor
The pretreatment dynamic modelling method emulated in fact.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110348103A (en) * | 2019-07-04 | 2019-10-18 | 北京航空航天大学 | A kind of vehicle twin based on number is anti-to injure appraisal procedure |
| CN110442011A (en) * | 2019-07-29 | 2019-11-12 | 中国计量大学 | A kind of method that can continuously detect virtual reality device dynamic delay and the time-delay detection system using this method |
| CN110544314A (en) * | 2019-09-05 | 2019-12-06 | 上海电气集团股份有限公司 | Fusion method, system, medium and device of virtual reality and simulation model |
| CN111158480A (en) * | 2019-12-27 | 2020-05-15 | 于斌 | Scene model sharing method and system, augmented reality device and storage medium |
| CN111460660A (en) * | 2020-03-31 | 2020-07-28 | 安阳师范学院 | Electronic device with built-in simulated physical mechanics experimental scene and control method thereof |
| CN115238591A (en) * | 2022-08-12 | 2022-10-25 | 杭州国辰智企科技有限公司 | Dynamic parameter checking and driving CAD automatic modeling engine system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020154133A1 (en) * | 2001-04-19 | 2002-10-24 | Discreet Logic Inc. | Rendering animated image data |
| CN107622520A (en) * | 2017-09-29 | 2018-01-23 | 上海开圣影视文化传媒股份有限公司 | The method for accelerating to render |
| CN107909638A (en) * | 2017-11-15 | 2018-04-13 | 网易（杭州）网络有限公司 | Rendering intent, medium, system and the electronic equipment of dummy object |
| CN108122155A (en) * | 2017-09-30 | 2018-06-05 | 苏州美房云客软件科技股份有限公司 | Storage device, processing device and scene model rendering method of virtual room selection system |
| CN108279768A (en) * | 2017-11-16 | 2018-07-13 | 深圳市诺诺易购网络科技有限公司 | A kind of generation method and system of more people's interactive three-dimensional virtual environment |
-
2018
- 2018-12-29 CN CN201811647153.XA patent/CN109783914B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020154133A1 (en) * | 2001-04-19 | 2002-10-24 | Discreet Logic Inc. | Rendering animated image data |
| CN107622520A (en) * | 2017-09-29 | 2018-01-23 | 上海开圣影视文化传媒股份有限公司 | The method for accelerating to render |
| CN108122155A (en) * | 2017-09-30 | 2018-06-05 | 苏州美房云客软件科技股份有限公司 | Storage device, processing device and scene model rendering method of virtual room selection system |
| CN107909638A (en) * | 2017-11-15 | 2018-04-13 | 网易（杭州）网络有限公司 | Rendering intent, medium, system and the electronic equipment of dummy object |
| CN108279768A (en) * | 2017-11-16 | 2018-07-13 | 深圳市诺诺易购网络科技有限公司 | A kind of generation method and system of more people's interactive three-dimensional virtual environment |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110348103A (en) * | 2019-07-04 | 2019-10-18 | 北京航空航天大学 | A kind of vehicle twin based on number is anti-to injure appraisal procedure |
| CN110442011A (en) * | 2019-07-29 | 2019-11-12 | 中国计量大学 | A kind of method that can continuously detect virtual reality device dynamic delay and the time-delay detection system using this method |
| CN110544314A (en) * | 2019-09-05 | 2019-12-06 | 上海电气集团股份有限公司 | Fusion method, system, medium and device of virtual reality and simulation model |
| CN111158480A (en) * | 2019-12-27 | 2020-05-15 | 于斌 | Scene model sharing method and system, augmented reality device and storage medium |
| CN111460660A (en) * | 2020-03-31 | 2020-07-28 | 安阳师范学院 | Electronic device with built-in simulated physical mechanics experimental scene and control method thereof |
| CN115238591A (en) * | 2022-08-12 | 2022-10-25 | 杭州国辰智企科技有限公司 | Dynamic parameter checking and driving CAD automatic modeling engine system |
| CN115238591B (en) * | 2022-08-12 | 2022-12-27 | 杭州国辰智企科技有限公司 | Dynamic parameter checking and driving CAD automatic modeling engine system |
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