CN106846494A - Oblique photograph three-dimensional building thing model automatic single-body algorithm - Google Patents
Oblique photograph three-dimensional building thing model automatic single-body algorithm Download PDFInfo
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Abstract
The present invention proposes a kind of oblique photograph three-dimensional building thing model automatic single-body algorithm.Cloud data is converted to by by building data, then cloud data is mapped to plane grid, the density of the point arrived according to each mesh mapping in plane grid extracts contour of building line.In the incoming GPU fragment shaders of vertex information of the contour of building line that will be extracted, programmed by GPU, realize that the building in the range of contour line is highlighted, be achieved in singulation operation.The acquisition of traditional contour of building line is by the way that to the artificial vector quantization mode of oblique photograph data, its efficiency is low, high cost.The contour of building line that this algorithm is realized is automatically obtained, and efficiency high, low cost greatly improved the application level of oblique photograph data.
Description
Technical field
The present invention relates to oblique photograph data singulation operating technology field, specifically refer to one kind and realize that oblique photograph is three-dimensional
The algorithm of building model automatic single-bodyization operation.
Background technology
Singulation is for oblique photograph data characteristicses, to refer to us and want the right one by one of individually management
As, and can be selected entity；Can be highlighted when clicking on an independent object with mouse, attribute can be enclosed
Information.Only possess the ability of singulation, data can just be managed and use, and be not only to be used to browse check.It is right
For artificial modeling, the model that such as 3Dmax builds, singulation is a thing being easily achieved.I.e. in the mistake of artificial modeling
Cheng Zhong, can separate needing the object of individually management to be made as single model with other objects naturally.
For oblique photograph data, it is continuous one " skin ", and all atural objects are all continuous entirety, is not point
Separate what is come.Its modeling mechanism is, as centering generates dense point cloud, then a cloud to be carried out first from captured image
Vacuate, then build the triangulation network, finally stick textures.In this process, it is no manual intervention.Current modeling algorithm is simultaneously
The atural objects such as building, ground, trees will not be distinguished, therefore build is a continuous Tin net.For such
Data, are in itself that cannot choose single building, it is necessary to carrying out certain intermediate treatment could realize singulation.And for most
For number practical applications, be need individually to choose the atural objects such as building, to assign attribute, querying attributes etc. basic
GIS is operated.Therefore, the bank do not walked around in GIS applications for oblique photograph model is singulated into, is to have to asking for solution
Topic.
At present, oblique photograph data singulation has 3 kinds of resolving ideas.The first most intuitively thinking, be exactly with building,
The corresponding vector face such as road, trees, cuts to oblique photograph model, i.e., continuous tri patch net is physically divided
Cut open, so as to realize singulation.We can be referred to as " cutting singulation ".Second using each summit volume in tri patch
Outer memory space, stores the ID values in corresponding vector face；All tops of the tri patch corresponding to i.e. one building
Point, all stores same ID values, thus realize when mouse chooses this to build, by judging ID values, be in by the building
Reveal highlighted effect, this can be referred to as " ID singulations ".The third is when three-dimensional rendering, dynamically correspondence
Vector face be added on oblique photograph model, by indirectly mode, the object such as building in the range of vector face is highlighted,
So as to the effect for realizing being individually selected, it is this due to rendering when dynamically present, can be referred to as " dynamic singulation ".
Singulation algorithm proposed by the present invention belongs to dynamic singulation category.Traditional building vector bottom surface is obtained at present
It is to carry out registration by existing DLG data to take, and the method most saves trouble, but needs data basis.Also one kind is logical
Crossing carries out artificial vector quantization mode to orthography and obtains.It is now a kind of emerging acquisition modes, generation that automation is extracted
Table future direction.
The content of the invention
The present invention proposes a kind of oblique photograph three-dimensional building thing model automatic single-body algorithm, can overcome conventional monomer
The defect that mode building bottom surface obtains, improves and obtains efficiency.Offer automatically extracts contour of building line and combines GPU and programs in fact
Existing oblique photograph data singulation operation.
The technical proposal of the invention is realized in this way：
Oblique photograph three-dimensional building thing model automatic single-body algorithm, it is comprised the following steps：
S1) go out cloud data from original oblique photograph data genaration, cloud data is pre-processed, it is invalid to reject
Point；
S2 three-dimensional point cloud) is mapped to two dimensional surface；
S3 corresponding plane grid) is set up according to cloud data scope, cloud data plane grid is quickly traveled through,
The dot density of each grid is calculated, whether the dot density according to grid determines grid on contour line；
S4 contour of building line) is extracted from plane grid；
S5 the programmable rendering pipeline of GPU) is combined, be highlighted for the building in the range of contour line by realization.
In above-mentioned technical proposal, step S3) described in calculate the dot density of each grid, specially：
Thus sizing grid calculates the dot density of each grid by minimum area-encasing rectangle and the common determination of total points.
In above-mentioned technical proposal, step S3) described in whether grid is determined on contour line according to the dot density of grid, tool
Body is：
0 or 1 attribute is assigned to each grid, 1 represents on contour of building line, 0 represents not in contour of building
On line.
In above-mentioned technical proposal, the step S4) it is specially：
Contour of building line is extracted according to edge following algorithm according to grid property from plane grid.
In above-mentioned technical proposal, step S5) specifically include：
The node coordinate of the contour of building line that will be extracted is stored in array, and by the incoming fragment of element in array
In shader, coloration program is write in fragment shader, judged a little whether in polygon.
Oblique photograph three-dimensional building thing model automatic single-body algorithm of the invention, realizes oblique photograph data singulation
During building vector bottom surface automatically extract, significantly improve the acquisition speed of oblique photograph data building vector bottom surface
Degree, reduces human cost, has promoted the application of oblique photograph data.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The 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, without having to pay creative labor, may be used also
Other accompanying drawings are obtained with according to these accompanying drawings.
Fig. 1 oblique photograph three-dimensional building thing model automatic single-body algorithm flow charts.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
As shown in figure 1, oblique photograph three-dimensional building thing model automatic single-body algorithm of the invention, it includes following step
Suddenly：
S1) go out cloud data from original oblique photograph data genaration, cloud data is pre-processed, it is invalid to reject
Point.
Because initial dip photographed data includes invalid data, so being pre-processed, invalid data is first rejected.
S2 three-dimensional point cloud) is mapped to two dimensional surface；I.e. point P (x, y, z) is changed into P ' (x, y).
S3 corresponding plane grid) is set up according to cloud data scope, the dot density of each grid is calculated, according to grid
Whether dot density determines grid on contour line.
Specifically, step S3) include following two sub-steps：
Cloud data plane grid is quickly traveled through, sizing grid is common really by minimum area-encasing rectangle and total points
It is fixed, thus calculate the dot density of each grid；
0 or 1 attribute is assigned to each grid, 1 represents on contour of building line, 0 represents not in contour of building
On line.
S4 contour of building line) is extracted from plane grid；It is preferred that from plane grid according to grid property according to border
Track algorithm rapid extraction goes out contour of building line.
S5 the programmable rendering pipeline of GPU) is combined, the node coordinate of the contour of building line that will be extracted is stored in array
In, and by the incoming fragment shader of element in array, coloration program is write in fragment shader, judge a little whether
In polygon, be highlighted for the building in the range of contour line by realization.
The present invention realizes automatically extracting and tying for oblique photograph data contour of building line using C Plus Plus and OpenGL
Close the operation of GPU programming realizations singulation.Realizing the computer basic parameter of the algorithm has：
Video card：NVIDIAGeForce GTX 550Ti 1GB systems install internal memory：8GB
Development environment：The operating systems of Visual Studio 2010：Windows7 64 (Ultimate)
Contour line by automatically extracting oblique photograph building of the invention, with reference to GPU programming realizations oblique photograph building
The singulation operation of thing.Singulation is substantially that the threedimensional model exported to solve oblique photograph automation modeling software is to connect
Piece, cannot individually choose the problem of atural object to be managed.In order to be able to being inquired about and being managed, it would be desirable to can individually choose certain
Atural object, can inquire about its corresponding service attribute.Currently a popular monomerization approach is all a kind of indirect mode, by superposition in advance
Corresponding vector bottom surface is realized.Compared to the acquisition modes of contour of building line in traditional singularization process, the present invention
Algorithm do not rely on other data and realize BUILDINGS MODELS singulation, building vector outline line can be automatically extracted, and combine GPU
The singulation of programming realization, significantly improves the acquisition speed of oblique photograph data building vector bottom surface, reduce manpower into
This, has promoted the application of oblique photograph data.
Presently preferred embodiments of the present invention is the foregoing is only, is not intended to limit the invention, it is all in essence of the invention
Within god and principle, any modification, equivalent substitution and improvements made etc. should be included within the scope of the present invention.
Claims (5)
1. oblique photograph three-dimensional building thing model automatic single-body algorithm, it is characterised in that comprise the following steps：
S1) go out cloud data from original oblique photograph data genaration, cloud data is pre-processed, reject Null Spot；
S2 three-dimensional point cloud) is mapped to two dimensional surface；
S3 corresponding plane grid) is set up according to cloud data scope, cloud data plane grid is quickly traveled through, calculated
Whether the dot density of each grid, the dot density according to grid determines grid on contour line；
S4 contour of building line) is extracted from plane grid；
S5 the programmable rendering pipeline of GPU) is combined, be highlighted for the building in the range of contour line by realization.
2. oblique photograph three-dimensional building thing model automatic single-body algorithm according to claim 1, it is characterised in that step
S3 the dot density of each grid is calculated described in), specially：
Thus sizing grid calculates the dot density of each grid by minimum area-encasing rectangle and the common determination of total points.
3. oblique photograph three-dimensional building thing model automatic single-body algorithm according to claim 2, it is characterised in that step
S3 whether the dot density described in) according to grid determines grid on contour line, specially：
0 or 1 attribute is assigned to each grid, 1 represents on contour of building line, 0 represents not on contour of building line.
4. oblique photograph three-dimensional building thing model automatic single-body algorithm according to claim 1, it is characterised in that described
Step S4) it is specially：
Contour of building line is extracted according to edge following algorithm according to grid property from plane grid.
5. oblique photograph three-dimensional building thing model automatic single-body algorithm according to claim 1, it is characterised in that step
S5) specifically include：
The node coordinate of the contour of building line that will be extracted is stored in array, and by the incoming fragment of element in array
In shader, coloration program is write in fragment shader, judged a little whether in polygon.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107610225A (en) * | 2017-11-02 | 2018-01-19 | 重庆市勘测院 | A kind of oblique photograph outdoor scene threedimensional model monomerization approach |
| CN107833273A (en) * | 2017-11-02 | 2018-03-23 | 重庆市勘测院 | Oblique photograph threedimensional model objectification application process based on three-dimensional simulation model |
| CN108062794A (en) * | 2017-12-29 | 2018-05-22 | 百度在线网络技术（北京）有限公司 | A kind of acquisition methods of building model, device, server and storage medium |
| CN108090952A (en) * | 2017-12-07 | 2018-05-29 | 陈菡 | 3 d modeling of building method and apparatus |
| CN108171720A (en) * | 2018-01-08 | 2018-06-15 | 武汉理工大学 | A kind of oblique photograph model object frontier probe method based on geometrical statistic information |
| CN108648269A (en) * | 2018-05-11 | 2018-10-12 | 北京建筑大学 | The monomerization approach and system of three-dimensional building object model |
| CN108711252A (en) * | 2018-09-06 | 2018-10-26 | 青岛海大新星软件咨询有限公司 | A kind of home intelligent management system |
| CN109163708A (en) * | 2018-08-08 | 2019-01-08 | 广州市城市规划勘测设计研究院 | Optimization method, device and the medium of unmanned plane large scale topographical map house line |
| CN109492606A (en) * | 2018-11-26 | 2019-03-19 | 上海同繁勘测工程科技有限公司 | Multispectral vector picture capturing method and system, three dimensional monolithic method and system |
| CN110310355A (en) * | 2019-06-21 | 2019-10-08 | 永州电力勘测设计院有限公司 | Oblique photograph model monomerization approach based on multitexture mapping |
| CN110570428A (en) * | 2019-08-09 | 2019-12-13 | 浙江合信地理信息技术有限公司 | method and system for segmenting roof surface patch of building from large-scale image dense matching point cloud |
| CN111340941A (en) * | 2020-02-25 | 2020-06-26 | 南京舆图科技发展有限公司 | Dynamic single-object method of oblique photography based on vector graphics under spherical coordinate system |
| CN112163251A (en) * | 2020-08-24 | 2021-01-01 | 北京航空航天大学 | Building model unitization method and device, storage medium and electronic equipment |
| CN112365599A (en) * | 2020-11-05 | 2021-02-12 | 国网甘肃省电力公司 | Method and system for manufacturing lawn in interactive scene in power transformation operation inspection simulation system |
| CN112687003A (en) * | 2020-12-29 | 2021-04-20 | 青岛海信网络科技股份有限公司 | Building model unitization method and device |
| CN112700531A (en) * | 2020-12-18 | 2021-04-23 | 武汉大学 | Building tilt model layered household display method fused with vector household diagram |
| CN113628341A (en) * | 2021-08-31 | 2021-11-09 | 时空云科技有限公司 | Automatic single modeling method based on oblique photography data and LIDAR point cloud fusion |
| CN113822914A (en) * | 2021-09-13 | 2021-12-21 | 中国电建集团中南勘测设计研究院有限公司 | Method for unifying oblique photography measurement model, computer device, product and medium |
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| CN114842148A (en) * | 2022-05-17 | 2022-08-02 | 河南工程学院 | Building single segmentation method of unmanned aerial vehicle oblique photography model according to building elevation characteristics |
| CN114926602A (en) * | 2022-04-13 | 2022-08-19 | 湖北省国土测绘院 | Building single-body method and system based on three-dimensional point cloud |
| CN115600307A (en) * | 2022-12-01 | 2023-01-13 | 北京飞渡科技有限公司（Cn） | Method for generating single building from Mesh model of urban scene |
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| CN107833273A (en) * | 2017-11-02 | 2018-03-23 | 重庆市勘测院 | Oblique photograph threedimensional model objectification application process based on three-dimensional simulation model |
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| CN113628341B (en) * | 2021-08-31 | 2023-12-19 | 珠海尚方清洁能源科技有限公司 | Automatic monomer modeling method based on oblique photographic data and LIDAR point cloud fusion |
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| CN114842148A (en) * | 2022-05-17 | 2022-08-02 | 河南工程学院 | Building single segmentation method of unmanned aerial vehicle oblique photography model according to building elevation characteristics |
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Application publication date: 20170613 |