CN106530215A - Virtual scene coordinate converting method and apparatus - Google Patents
Virtual scene coordinate converting method and apparatus Download PDFInfo
- Publication number
- CN106530215A CN106530215A CN201610952119.8A CN201610952119A CN106530215A CN 106530215 A CN106530215 A CN 106530215A CN 201610952119 A CN201610952119 A CN 201610952119A CN 106530215 A CN106530215 A CN 106530215A
- Authority
- CN
- China
- Prior art keywords
- coordinate
- object function
- optimal solution
- chromosome
- virtual scene
- 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
- 238000000034 method Methods 0.000 title abstract description 17
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 36
- 230000002068 genetic effect Effects 0.000 claims abstract description 30
- 230000006870 function Effects 0.000 claims description 118
- 210000000349 chromosome Anatomy 0.000 claims description 60
- 230000006978 adaptation Effects 0.000 claims description 26
- 238000011426 transformation method Methods 0.000 claims description 15
- 238000010353 genetic engineering Methods 0.000 claims description 10
- 230000008859 change Effects 0.000 claims description 7
- 230000009466 transformation Effects 0.000 claims description 6
- 238000013519 translation Methods 0.000 claims description 6
- 108090000623 proteins and genes Proteins 0.000 claims description 4
- 241000208340 Araliaceae Species 0.000 claims 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims 1
- 235000003140 Panax quinquefolius Nutrition 0.000 claims 1
- 238000004043 dyeing Methods 0.000 claims 1
- 235000008434 ginseng Nutrition 0.000 claims 1
- 238000006243 chemical reaction Methods 0.000 abstract description 23
- 241001260012 Bursa Species 0.000 abstract 1
- 230000005540 biological transmission Effects 0.000 abstract 1
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000002028 premature Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000017423 tissue regeneration Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Graphics (AREA)
- Computer Hardware Design (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Processing Or Creating Images (AREA)
Abstract
The invention discloses a virtual scene coordinate converting method and apparatus. The method comprises the following steps: obtaining the first coordinate of a target pole tower in a real scene; according to the objective function pre-established through the application of the Bursa model and the first coordinate, determining the optimal solution of the objective function based on the genetic algorithm; and determining the optimal solution as a second coordinate of the target tower pole in a virtual scene. In view of the technical schemes provided by the embodiments of the invention, an objective function genetic operation fitting mode is adopted in which the spherical surface based first coordinate is converted into the second coordinate in a three-dimensional scene. This reduces the error in coordinate conversion and raises the accuracy to position the pole towers along a power transmission cable.
Description
Technical field
The present invention relates to field of locating technology, more particularly to a kind of virtual scene coordinate transformation method and device.
Background technology
In the training system of power industry, there is verity in order to allow the study scene of student, it will usually by virtual
The relevant issues of electric power line pole tower are processed in scenario simulation reality scene, this is accomplished by virtual scene carrying out shaft tower
Positioning, is the coordinate in virtual scene by the Coordinate Conversion in shaft tower at the scene scene.
With coordinate basis conversion and coordinate system conversion, under the conditions of data volume is enough and accurate, it is possible to achieve appoint
The conversion of different coordinate forms between two coordinate basis of meaning, but because model parameter selects different, observation to there is error, calculate number
Parity problem may not all cause small data variation to cause the great variety of solution for value process, and the coordinate after causing to change is very not
It is stable so that a part of shaft tower is difficult to realize being accurately positioned in landform.
In the prior art, it is that the method for solving the conversion parameter in Bursa-wolf model by using method of least square is entered mostly
Row Coordinate Conversion.But because the reference point of seven parameters for solving Bursa-wolf model is difficult to be distributed in the not same district of conversion range
Domain, if reference point distribution is too little, the dependency between its rotation parameter and translation parameterss is larger, necessarily cause with compared with
Big conditional number so that Coordinate Conversion has larger error, and unstable, it is difficult to meet the requirement of system accuracy.
The content of the invention
It is an object of the invention to provide a kind of virtual scene coordinate transformation method and device, to reduce the mistake of Coordinate Conversion
Difference, improves the accuracy of electric power line pole tower positioning.
To solve above-mentioned technical problem, the present invention provides following technical scheme：
A kind of virtual scene coordinate transformation method, including：
Obtain first coordinate of the target shaft tower in reality scene；
According to the object function and first coordinate set up with Bursa-wolf model in advance, institute is determined based on genetic algorithm
State the optimal solution of object function；
The optimal solution is defined as into second coordinate of the target shaft tower in virtual scene.
In a kind of specific embodiment of the present invention, the object function that the basis is set up with Bursa-wolf model in advance
With first coordinate, the optimal solution of the object function is determined based on genetic algorithm, including：
First coordinate is input in the object function set up with Bursa-wolf model in advance；
Determine the scope of the solution space of the object function；
According to the scope of the solution space of the object function, chromosome coding is carried out；
According to the scope of the solution space of the object function, the distribution of the optimal solution of the object function is determined；
In the distribution of the optimal solution of the object function, initial value is selected to carry out the iteration of genetic algorithm；
When default stopping criterion for iteration is met, the optimal solution of the object function is obtained.
In a kind of specific embodiment of the present invention, the scope of the solution space according to the object function is carried out
Chromosome coding, including：
Chromosome coding is carried out according to below equation：
Wherein, [m, n] is the scope of the solution space of the object function, kiFor i-th bit genic value in chromosome, e is institute
State the length value of chromosome.
In a kind of specific embodiment of the present invention, the iteration for carrying out genetic algorithm, including：
Determine the adaptation value of the chromosome；
According to the adaptation value, genetic manipulation is carried out to the chromosome.
It is in a kind of specific embodiment of the present invention, described according to the adaptation value, heredity is carried out to the chromosome
Operation, including：
If the adaptation value of the chromosome is higher than predetermined threshold value, retains the chromosome, intersect or make a variation and be therein
Part gene, produce new chromosome.
In a kind of specific embodiment of the present invention, the adaptation value for determining the chromosome, including：
Fitness function is determined according to the object function；
The adaptation value of chromosome is evaluated according to the fitness function.
In a kind of specific embodiment of the present invention, the fitness function is：
Wherein, f (z) is the object function.
In a kind of specific embodiment of the present invention, the object function is：
Min f (x)=min | | V2-ΔV+(1+k)V1+RV1||；
Wherein,For second coordinate of the target shaft tower in virtual scene,For the target
First coordinate of the shaft tower in reality scene, k, Δ V and R are coordinate precision parameter, and k is that the yardstick in the Bursa-wolf model becomes
Change parameter,For the translation parameterss in the Bursa-wolf model,For boolean Sha mould
Rotation parameter in type.
A kind of virtual scene coordinate transformation device, including：
First coordinate obtains module, for obtaining first coordinate of the target shaft tower in reality scene；
Optimal solution determining module, for being sat according to the object function set up with Bursa-wolf model in advance and described first
Mark, determines the optimal solution of the object function based on genetic algorithm；
Second coordinate determining module, for the optimal solution is defined as the target shaft tower in virtual scene second
Coordinate.
In a kind of specific embodiment of the present invention, the optimal solution determining module, including：
Coordinate input submodule, for first coordinate is input to the target letter set up with Bursa-wolf model in advance
In number；
Solution space range determination submodule, for determining the scope of the solution space of the object function；
Chromosome coding submodule, for the scope of the solution space according to the object function, carries out chromosome coding；
Optimal solution distribution determination sub-module, for the scope of the solution space according to the object function, it is determined that described
The distribution of the optimal solution of object function；
Genetic algorithm iteration submodule, for, selecting initial value to enter in the distribution of the optimal solution of the object function
The iteration of row genetic algorithm；
Optimal solution obtains submodule, for when default stopping criterion for iteration is met, obtaining the object function most
Excellent solution.
The technical scheme provided using the embodiment of the present invention, obtains first coordinate of the target shaft tower in reality scene
Afterwards, according to the object function and the first coordinate set up with Bursa-wolf model in advance, object function is determined based on genetic algorithm
Optimal solution is defined as second coordinate of the target shaft tower in virtual scene by optimal solution.Hereditary behaviour is carried out using to object function
The first Coordinate Conversion based on sphere is the second coordinate in three-dimensional scenic, reduces Coordinate Conversion by the mode that work is fitted
Error, improves the accuracy of electric power line pole tower positioning.
Description of the drawings
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
Accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of implementing procedure figure of virtual scene coordinate transformation method in the embodiment of the present invention；
Fig. 2 is the error result schematic diagram that algorithms of different carries out Coordinate Conversion used in the embodiment of the present invention.
Fig. 3 is a kind of structural representation of virtual scene coordinate transformation device in the embodiment of the present invention.
Specific embodiment
In order that those skilled in the art more fully understand the present invention program, with reference to the accompanying drawings and detailed description
The present invention is described in further detail.Obviously, described embodiment is only a part of embodiment of the invention, rather than
Whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not making creative work premise
Lower obtained every other embodiment, belongs to the scope of protection of the invention.
It is shown in Figure 1, a kind of implementing procedure of the virtual scene coordinate transformation method provided by the embodiment of the present invention
Figure, the method may comprise steps of：
S110：Obtain first coordinate of the target shaft tower in reality scene.
In embodiments of the present invention, target shaft tower can be obtained existing by actual measurement or inquiry database mode
The first coordinate in real field scape.
S120：According to the object function and the first coordinate set up with Bursa-wolf model in advance, determined based on genetic algorithm
The optimal solution of object function.
In embodiments of the present invention, object function can be set up with the Bursa-wolf model in Coordinate Conversion.Boolean's Sha's mould
Type is also referred to as seven parameter Bursa-wolf models, and which has three translation parameterss, three rotation parameters and a change of scale parameter.
Object function specifically can be as shown in formula (1)：
Min f (x)=min | | V2-ΔV+(1+k)V1+RV1| | formula (1)
Wherein,Coordinate after the second coordinate for being target shaft tower in virtual scene, namely conversion,Coordinate before the first coordinate for being target shaft tower in reality scene, namely conversion, k, Δ V and R are coordinate precision
Parameter, k are the change of scale parameter in Bursa-wolf model,For the translation parameterss in Bursa-wolf model,For the rotation parameter in Bursa-wolf model.
The embodiment of the present invention is converted to solution target by the precision parameter of Bursa-wolf model, the i.e. problem of seven parameters is solved
The problem of the optimal solution of function.According to object function and the first coordinate, the optimum of object function can determine based on genetic algorithm
Solution.
In a kind of specific embodiment of the present invention, step S120 may comprise steps of：
Step one：First coordinate is input in the object function set up with Bursa-wolf model in advance；
Step 2：Determine the scope of the solution space of object function；
Step 3：According to the scope of the solution space of object function, chromosome coding is carried out；
Step 4：According to the scope of the solution space of object function, the distribution of the optimal solution of object function is determined；
Step 5：In the distribution of the optimal solution of object function, initial value is selected to carry out the iteration of genetic algorithm；
Step 6：When default termination iterated conditional is met, the optimal solution of object function is obtained.
For ease of description, above-mentioned six steps are combined and is illustrated.
In embodiments of the present invention, with Bursa-wolf model set up object function comprising target shaft tower in reality scene
The second coordinate in virtual scene of the first coordinate, target shaft tower, coordinate precision parameter etc..
First coordinate can be input in object function, i.e., the first coordinate in object function is known parameters.
Determine the scope of the solution space of object function, specifically, can be according to the characteristics of concrete coordinate position, sampled data
Etc. being determined.The solution space of object function is possible coordinate position of the target shaft tower in virtual scene.
According to the scope of the solution space of object function, chromosome coding is carried out.I.e. to target shaft tower in virtual scene
Possible coordinate position carries out chromosome coding.Chromosome is the iteration amount of genetic algorithm, can be carried out in application binary mode
The coding of chromosome.Specifically, chromosome coding can be carried out by formula (2)：
Wherein, the scope of [m, n] for the solution space of object function, kiFor i-th bit genic value in chromosome, numerical value be 0 or
1, e is the length value of chromosome.
The distribution of the optimal solution of object function should be covered with whole solution space as far as possible, according to the solution space of object function
Scope, can be evaluated whether the distribution of the optimal solution of object function.In the distribution of the optimal solution of object function, Ke Yisui
Machine selects initial value to carry out the iteration of genetic algorithm, can so avoid genetic algorithm from being absorbed in local optimum.
In a kind of specific embodiment of the present invention, the iteration of genetic algorithm specifically can be carried out by following steps.
First step：Determine the adaptation value of chromosome；
Second step：According to adaptation value, genetic manipulation is carried out to chromosome.
Specifically, fitness function can be determined according to object function, the adaptation of chromosome is evaluated according to fitness function
Value.I.e. introduce monodrome, non-negative, continuous fitness function, on this basis evaluate chromosome adaptation value, adaptation value more it is big then
Closer to the optimal solution of object function.
In embodiments of the present invention, object function can be mapped as into fitness function directly, fitness function is：
According to adaptation value, genetic manipulation is carried out to chromosome, the specific selection for including chromosome, intersection and variation.Such as
The adaptation value of fruit chromosome is higher than predetermined threshold value, then retain the chromosome, and intersect or make a variation part gene therein, produces
The chromosome of tissue regeneration promoting.As such, it is possible to step up the adaptation value of chromosome.
So-called intersection, is to choose two chromosomes, replaces subsidiary individual part-structure with setting probability,
Such as, 0,000 1111, after intersection be：0111 1000.
So-called variation, to refer to and be changed to 1 by 0 to set probability.
When default stopping criterion for iteration is met, the optimal solution of object function is obtained.
Stopping criterion for iteration can be preset to avoid genetic algorithm Premature Convergence, such as, evolution iterationses are set,
When the evolution iterationses are met, the optimal solution of object function is obtained.
S130：Optimal solution is defined as into second coordinate of the target shaft tower in virtual scene.
In step S120, it is determined that the optimal solution of object function, the optimal solution can be defined as target shaft tower virtual
The second coordinate in scene.Realize the Coordinate Conversion of reality scene and virtual scene.
The method provided using the embodiment of the present invention, obtain target shaft tower after the first coordinate in reality scene, root
According to the object function and the first coordinate set up with Bursa-wolf model in advance, the optimum of object function is determined based on genetic algorithm
Optimal solution is defined as second coordinate of the target shaft tower in virtual scene by solution.Genetic manipulation plan is carried out using to object function
The first Coordinate Conversion based on sphere is the second coordinate in three-dimensional scenic, reduces the error of Coordinate Conversion by the mode of conjunction,
Improve the accuracy of electric power line pole tower positioning.
In embodiments of the present invention, 200, somewhere common point is employed, repeats simulation 200 times, using distinct methods,
Specially method of least square, decoupling algorithm, genetic algorithm (algorithm that the embodiment of the present invention is based on) carry out Coordinate Conversion, and remember
Error between record conversion coordinate and given value, specifically, carries out Error Calculation according to formula (4)：
As shown in Fig. 2 Fig. 2 shows, the coordinate of the technical scheme provided by the embodiment of the present invention turns for the error result of acquisition
Change error minimum.
Corresponding to above method embodiment, the embodiment of the present invention additionally provides a kind of virtual scene coordinate transformation device,
A kind of virtual scene coordinate transformation device described below can be mutual with a kind of above-described virtual scene coordinate transformation method
To should refer to.
Shown in Figure 3, the device is included with lower module：
First coordinate obtains module 310, for obtaining first coordinate of the target shaft tower in reality scene；
Optimal solution determining module 320, the object function set up with Bursa-wolf model for basis in advance and the first coordinate,
The optimal solution of object function is determined based on genetic algorithm；
Second coordinate determining module 330, for optimal solution is defined as second coordinate of the target shaft tower in virtual scene.
The device provided using the embodiment of the present invention, obtain target shaft tower after the first coordinate in reality scene, root
According to the object function and the first coordinate set up with Bursa-wolf model in advance, the optimum of object function is determined based on genetic algorithm
Optimal solution is defined as second coordinate of the target shaft tower in virtual scene by solution.Genetic manipulation plan is carried out using to object function
The first Coordinate Conversion based on sphere is the second coordinate in three-dimensional scenic, reduces the error of Coordinate Conversion by the mode of conjunction,
Improve the accuracy of electric power line pole tower positioning.
In a kind of specific embodiment of the present invention, optimal solution determining module 320, including：
Coordinate input submodule, for the first coordinate is input to the object function set up with Bursa-wolf model in advance
In；
Solution space range determination submodule, for determining the scope of the solution space of object function；
Chromosome coding submodule, for the scope of the solution space according to object function, carries out chromosome coding；
Optimal solution distribution determination sub-module, for the scope of the solution space according to object function, determines object function
Optimal solution distribution；
Genetic algorithm iteration submodule, for, selecting initial value to be lost in the distribution of the optimal solution of object function
The iteration of propagation algorithm；
Optimal solution obtains submodule, for when default stopping criterion for iteration is met, obtaining the optimal solution of object function.
In a kind of specific embodiment of the present invention, chromosome coding submodule, specifically for：
Chromosome coding is carried out according to below equation：
Wherein, the scope of [m, n] for the solution space of object function, kiFor i-th bit genic value in chromosome, e is chromosome
Length value.
In a kind of specific embodiment of the present invention, genetic algorithm iteration submodule, including：
Adaptation value determining unit, for determining the adaptation value of chromosome；
Genetic manipulation unit, for according to adaptation value, carrying out genetic manipulation to chromosome.
In a kind of specific embodiment of the present invention, genetic manipulation unit, specifically for：
If the adaptation value of chromosome is higher than predetermined threshold value, retain the chromosome, intersect or make a variation part therein
Gene, produce new chromosome.
In a kind of specific embodiment of the present invention, adaptation value determining unit, specifically for：
Fitness function is determined according to object function；
The adaptation value of chromosome is evaluated according to fitness function.
In a kind of specific embodiment of the present invention, fitness function is：
Wherein, f (z) is object function.
In a kind of specific embodiment of the present invention, object function is：
Min f (x)=min | | V2-ΔV+(1+k)V1+RV1||；
Wherein,The second coordinate for being target shaft tower in virtual scene,It is that target shaft tower is showing
The first coordinate in real field scape, k, Δ V and R are coordinate precision parameter, and k is the change of scale parameter in Bursa-wolf model,For the translation parameterss in Bursa-wolf model,For the rotation parameter in Bursa-wolf model.
In this specification, each embodiment is described by the way of progressive, and what each embodiment was stressed is and other
The difference of embodiment, between each embodiment same or similar part mutually referring to.For dress disclosed in embodiment
For putting, as which corresponds to the method disclosed in Example, so description is fairly simple, related part is referring to method part
Illustrate.
Professional further appreciates that, with reference to the unit of each example of the embodiments described herein description
And algorithm steps, can with electronic hardware, computer software or the two be implemented in combination in, in order to clearly demonstrate hardware and
The interchangeability of software, generally describes the composition and step of each example in the above description according to function.These
Function actually with hardware or software mode performing, depending on the application-specific and design constraint of technical scheme.Specialty
Technical staff can use different methods to realize described function to each specific application, but this realization should not
Think beyond the scope of this invention.
The step of method described with reference to the embodiments described herein or algorithm, directly can be held with hardware, processor
Capable software module, or the combination of the two is implementing.Software module can be placed in random access memory (RAM), internal memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, depositor, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
Specific case used herein is set forth to the principle and embodiment of the present invention, and above example is said
It is bright to be only intended to help and understand technical scheme and its core concept.It should be pointed out that common for the art
For technical staff, under the premise without departing from the principles of the invention, some improvement and modification can also be carried out to the present invention, these
Improve and modification is also fallen in the protection domain of the claims in the present invention.
Claims (10)
1. a kind of virtual scene coordinate transformation method, it is characterised in that include：
Obtain first coordinate of the target shaft tower in reality scene；
According to the object function and first coordinate set up with Bursa-wolf model in advance, the mesh is determined based on genetic algorithm
The optimal solution of scalar functions；
The optimal solution is defined as into second coordinate of the target shaft tower in virtual scene.
2. virtual scene coordinate transformation method according to claim 1, it is characterised in that the basis uses boolean in advance
Object function and first coordinate that Sha's model is set up, determine the optimal solution of the object function based on genetic algorithm, including：
First coordinate is input in the object function set up with Bursa-wolf model in advance；
Determine the scope of the solution space of the object function；
According to the scope of the solution space of the object function, chromosome coding is carried out；
According to the scope of the solution space of the object function, the distribution of the optimal solution of the object function is determined；
In the distribution of the optimal solution of the object function, initial value is selected to carry out the iteration of genetic algorithm；
When default stopping criterion for iteration is met, the optimal solution of the object function is obtained.
3. virtual scene coordinate transformation method according to claim 2, it is characterised in that described according to the object function
Solution space scope, carry out chromosome coding, including：
Chromosome coding is carried out according to below equation：
Wherein, [m, n] is the scope of the solution space of the object function, kiFor i-th bit genic value in chromosome, e is the dyeing
The length value of body.
4. virtual scene coordinate transformation method according to claim 2, it is characterised in that it is described carry out genetic algorithm repeatedly
Generation, including：
Determine the adaptation value of the chromosome；
According to the adaptation value, genetic manipulation is carried out to the chromosome.
5. virtual scene coordinate transformation method according to claim 4, it is characterised in that described according to the adaptation value,
Genetic manipulation is carried out to the chromosome, including：
If the adaptation value of the chromosome is higher than predetermined threshold value, retain the chromosome, intersect or make a variation part therein
Gene, produce new chromosome.
6. virtual scene coordinate transformation method according to claim 4, it is characterised in that the determination chromosome
Adaptation value, including：
Fitness function is determined according to the object function；
The adaptation value of chromosome is evaluated according to the fitness function.
7. virtual scene coordinate transformation method according to claim 6, it is characterised in that the fitness function is：
Wherein, f (z) is the object function.
8. the virtual scene coordinate transformation method according to any one of claim 1 to 7, it is characterised in that the target letter
Number is：
Min f (x)=min | | V2-ΔV+(1+k)V1+RV1||；
Wherein,For second coordinate of the target shaft tower in virtual scene,For the target shaft tower
The first coordinate in reality scene, k, Δ V and R are coordinate precision parameter, and k is the change of scale ginseng in the Bursa-wolf model
Number,For the translation parameterss in the Bursa-wolf model,For in the Bursa-wolf model
Rotation parameter.
9. a kind of virtual scene coordinate transformation device, it is characterised in that include：
First coordinate obtains module, for obtaining first coordinate of the target shaft tower in reality scene；
Optimal solution determining module, for according to the object function and first coordinate set up with Bursa-wolf model in advance, base
The optimal solution of the object function is determined in genetic algorithm；
Second coordinate determining module, for the optimal solution is defined as second seat of the target shaft tower in virtual scene
Mark.
10. virtual scene coordinate transformation device according to claim 9, it is characterised in that the optimal solution determining module,
Including：
Coordinate input submodule, for first coordinate is input to the object function set up with Bursa-wolf model in advance
In；
Solution space range determination submodule, for determining the scope of the solution space of the object function；
Chromosome coding submodule, for the scope of the solution space according to the object function, carries out chromosome coding；
Optimal solution distribution determination sub-module, for the scope of the solution space according to the object function, determines the target
The distribution of the optimal solution of function；
Genetic algorithm iteration submodule, for, selecting initial value to be lost in the distribution of the optimal solution of the object function
The iteration of propagation algorithm；
Optimal solution obtains submodule, for when default stopping criterion for iteration is met, obtaining the optimal solution of the object function.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610952119.8A CN106530215A (en) | 2016-11-02 | 2016-11-02 | Virtual scene coordinate converting method and apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610952119.8A CN106530215A (en) | 2016-11-02 | 2016-11-02 | Virtual scene coordinate converting method and apparatus |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106530215A true CN106530215A (en) | 2017-03-22 |
Family
ID=58325322
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610952119.8A Pending CN106530215A (en) | 2016-11-02 | 2016-11-02 | Virtual scene coordinate converting method and apparatus |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106530215A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109752709A (en) * | 2019-01-22 | 2019-05-14 | 武汉鸿瑞达信息技术有限公司 | A kind of distance measurement method and device based on image |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103489214A (en) * | 2013-09-10 | 2014-01-01 | 北京邮电大学 | Virtual reality occlusion handling method, based on virtual model pretreatment, in augmented reality system |
| CN105427338A (en) * | 2015-11-02 | 2016-03-23 | 浙江宇视科技有限公司 | Moving object tracking method and device |
-
2016
- 2016-11-02 CN CN201610952119.8A patent/CN106530215A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103489214A (en) * | 2013-09-10 | 2014-01-01 | 北京邮电大学 | Virtual reality occlusion handling method, based on virtual model pretreatment, in augmented reality system |
| CN105427338A (en) * | 2015-11-02 | 2016-03-23 | 浙江宇视科技有限公司 | Moving object tracking method and device |
Non-Patent Citations (1)
| Title |
|---|
| 杨成顺: "基于资产类模型和空间信息模型的输电线路三维可视化平台", 《电测与仪表》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109752709A (en) * | 2019-01-22 | 2019-05-14 | 武汉鸿瑞达信息技术有限公司 | A kind of distance measurement method and device based on image |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104063894B (en) | Point cloud three-dimensional model reestablishing method and system | |
| CN110717213B (en) | Method and device for rapidly generating BIM construction model of railway bridge | |
| CN106529674A (en) | Multiple-unmanned-aerial-vehicle cooperated multi-target distribution method | |
| CN112884226A (en) | Multi-agent algorithm-based territorial spatial pattern simulation planning method and system | |
| CN104966320B (en) | A kind of pattern-painting automatic generation method based on three rank Bezier curves | |
| CN105204472A (en) | Single-piece discrete type production operation scheduling optimization method | |
| CN116229015B (en) | Based on 2 N Method for generating body-attached Cartesian grid with Tree attached surface layer | |
| CN103530700B (en) | Urban distribution network saturation loading Comprehensive Prediction Method | |
| CN108376183A (en) | A kind of city CA model construction method based on principle of maximum entropy | |
| CN107457780A (en) | Method and device, storage medium and the terminal device of control machinery arm motion | |
| CN112948914A (en) | Method for automatically generating beam reinforcement map, processing device and storage medium | |
| CN109472861A (en) | Interactive tree modeling method, model generating method, system and bionical trees | |
| CN104537717B (en) | A kind of river course underwater topography thematic maps acquisition methods | |
| CN114818271A (en) | Power transmission and transformation project evaluation system and method based on three-dimensional design | |
| CN106530215A (en) | Virtual scene coordinate converting method and apparatus | |
| CN113486429A (en) | Automatic construction method of space intersection structure based on interpolation algorithm | |
| CN114065452A (en) | Power grid topology optimization and power flow control method based on deep reinforcement learning | |
| CN108304929A (en) | A kind of determination method and system of the best tactics of lattice chess | |
| CN107330209A (en) | A kind of moulding wall intelligent template implementation method based on Parametric designing | |
| CN106373192A (en) | Non-topology-consistency three-dimensional grid block tracking algorithm | |
| CN113449968B (en) | New energy power grid frequency risk assessment method and device based on deep learning | |
| CN105279320B (en) | A kind of method for generating FDTD grids | |
| CN109313819A (en) | Circuit model implementation method, device and computer readable storage medium | |
| CN105869213B (en) | A kind of multistage FDTD mesh modeling method | |
| CN103646158A (en) | Automatic radar simulated data simplifying method for simulation of marine simulator |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170322 |
|
| RJ01 | Rejection of invention patent application after publication |