CN107705269A - A kind of denoising method in three-dimensional modeling - Google Patents
A kind of denoising method in three-dimensional modeling Download PDFInfo
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- CN107705269A CN107705269A CN201711023643.8A CN201711023643A CN107705269A CN 107705269 A CN107705269 A CN 107705269A CN 201711023643 A CN201711023643 A CN 201711023643A CN 107705269 A CN107705269 A CN 107705269A
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- dimensional modeling
- denoising method
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- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000000605 extraction Methods 0.000 claims abstract description 8
- 238000013507 mapping Methods 0.000 claims abstract description 7
- 238000001514 detection method Methods 0.000 claims description 4
- 238000003708 edge detection Methods 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 abstract description 7
- 230000005611 electricity Effects 0.000 abstract description 6
- 230000000007 visual effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000004304 visual acuity Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/04—Texture mapping
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Graphics (AREA)
- Multimedia (AREA)
- Geometry (AREA)
- Software Systems (AREA)
- Image Processing (AREA)
Abstract
The present invention relates to dimensional Modeling Technology field, more particularly, to the denoising method in a kind of three-dimensional modeling.The present invention is pre-processed by treating the image in modeling region, identify water-surface areas and remove, avoid water-surface areas when carrying out feature extraction and the homotopy mapping of mistake occur, from influenceing to eliminate most noises during three-dimensional modeling in root, make the three-dimensional information to be formed more accurate.The present invention solves the problems, such as part denoising in transmission line of electricity, improves the degree of accuracy of characteristic matching in three-dimensional modeling, shortens the time of characteristic matching, improves engineering efficiency.
Description
Technical field
The present invention relates to dimensional Modeling Technology field, more particularly, to the denoising method in a kind of three-dimensional modeling.
Background technology
In the maintenance work of transmission line of electricity, the distance of wire and its periphery object such as trees, building etc. is to influence transmission of electricity
And an important factor for social personal security, it is main for accurate, the timely actual trend for finding transmission line of electricity, scissors crossing thing etc.
The trend of transmission line of electricity is intuitively reacted by establishing the three-dimensional model of power transmission system of complete display.It is right in three-dimensional modeling
It is the most key link that the image in region to be modeled, which carries out characteristic matching, and the water-surface areas in image lacks characteristic feature, line
Reason also constantly repeats, and causes the characteristic point of extraction very few, can not be correctly correctly same at matching during homotopy mapping
Famous cake, the excessive calculating time is consumed, while also generate many noises, easily form the three-dimensional information of mistake.
The content of the invention
The present invention is to overcome at least one defect described in above-mentioned prior art, there is provided the denoising side in a kind of three-dimensional modeling
Method, the water-surface areas in area image to be modeled is avoided in feature extraction, reduce the generation of noise, ensure the three-dimensional letter to be formed
The accuracy of breath.
In order to solve the above technical problems, present invention employs following technical scheme：
A kind of denoising method in three-dimensional modeling, comprises the following steps：
S1：Flight job platform gathers the striograph in region to be modeled；
S2：The striograph collected is identified, removes the water-surface areas in picture；
S3：Same place detection is carried out to the picture after execution step S2 and matched；
S4：Utilize Extraction of Image high density cloud data；
S5：Utilize high density cloud data structure threedimensional model and mapping textures；
S6：Build real threedimensional model.
Further, it is as follows to the specific identification step of water-surface areas in step S2：
S21:The pool profile in image is detected using Edge Detection；
S22:Pool region is removed by image processing software.
Further, flight job platform includes four oblique photograph cameras and a vertical photography camera, for obtaining
One group is just being penetrated and the photo of all around four direction, and combine GPS receiver and, high-precision IMU obtain photography point position and
Coordinate information.
Further, high density cloud data is extracted by Pix4D softwares in step S4.
The present invention is pre-processed by treating the image in modeling region, is identified water-surface areas and is removed, avoids
Carry out water-surface areas during feature extraction and the homotopy mapping of mistake occur, the noise of the overwhelming majority is eliminated from influence root,
Make the three-dimensional information to be formed more accurate.
Compared with prior art, beneficial effect is：Image is identified, eliminates water-surface areas therein, is reduced special
The error rate of sign point extraction, reduces the generation of noise from image before characteristic matching, improves formed three-dimensional information
Accuracy rate, while the time of characteristic matching is also shortened, effectively increase engineering efficiency.
Brief description of the drawings
Fig. 1 is the flow chart of one embodiment of the invention.
Embodiment
Below in conjunction with the accompanying drawings, the present invention is described further.It should be noted that being given for example only property of accompanying drawing is said
It is bright, it is impossible to be interpreted as the limitation to this patent.
As shown in figure 1, the denoising method in a kind of three-dimensional modeling, comprises the following steps：
S1：Flight job platform gathers the striograph in region to be modeled；
S2：The striograph collected is identified, removes the water-surface areas in picture；
S3：Same place detection is carried out to the picture after execution step S2 and matched；
S4：Extraction of Image high density cloud data is utilized by Pix4D softwares；
S5：Utilize high density cloud data structure threedimensional model and mapping textures；
S6：Build real threedimensional model.
Further, it is as follows to the specific identification step of water-surface areas in step S2：
S21:The pool profile in image is detected using Edge Detection；
S22:Pool region is removed by image processing software.
In the present embodiment, flight job platform includes four oblique photograph cameras and a vertical photography camera, is used for
One group is obtained just to penetrate and the photo of all around four direction, and combine GPS receiver and, high-precision IMU obtain the position of photography point
Put and coordinate information, in Data Post, use aerial triangulation method to provide accurate position and attitude for every photo
Information.The present embodiment obtains the image at multiple viewpoints and visual angle using oblique photograph technology, obtains more similar side-information,
With higher resolving power and larger field visual angle.
The present invention carries out water-surface areas to the image of acquisition and removes pretreatment, when carrying out same place detection, reduces water
The influence of pool light reflection, and wrong homotopy mapping will not be produced near the water surface, the matching of mistake is reduced, in three-dimensional
The noise of the overwhelming majority is eliminated in modeling, is improved using transmission line of electricity three-dimensional modeling to carry out the success of potential faults identification
Rate, while improve operating efficiency.
Obviously, the above embodiment of the present invention is only intended to clearly illustrate example of the present invention, and is not pair
The restriction of embodiments of the present invention.For those of ordinary skill in the field, may be used also on the basis of the above description
To make other changes in different forms.There is no necessity and possibility to exhaust all the enbodiments.It is all this
All any modification, equivalent and improvement made within the spirit and principle of invention etc., should be included in the claims in the present invention
Protection domain within.
Claims (4)
1. the denoising method in a kind of three-dimensional modeling, it is characterised in that comprise the following steps：
S1：Flight job platform gathers the striograph in region to be modeled；
S2：The striograph collected is identified, removes the water-surface areas in picture；
S3：Same place detection is carried out to the picture after execution step S2 and matched；
S4：Utilize Extraction of Image high density cloud data；
S5：Utilize high density cloud data structure threedimensional model and mapping textures；
S6：Build real threedimensional model.
2. the denoising method in a kind of three-dimensional modeling according to claim 1, it is characterised in that to water in the step S2
The specific identification step in face region is as follows：
S21:The pool profile in image is detected using Edge Detection；
S22:Pool region is removed by image processing software.
3. the denoising method in a kind of three-dimensional modeling according to claim 1, it is characterised in that the flight job platform
Including four oblique photograph cameras and a vertical photography camera.
4. the denoising method in a kind of three-dimensional modeling according to claim 1, it is characterised in that pass through in the step S4
Pix4D softwares extract high density cloud data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201711023643.8A CN107705269A (en) | 2017-10-27 | 2017-10-27 | A kind of denoising method in three-dimensional modeling |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711023643.8A CN107705269A (en) | 2017-10-27 | 2017-10-27 | A kind of denoising method in three-dimensional modeling |
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| Publication Number | Publication Date |
|---|---|
| CN107705269A true CN107705269A (en) | 2018-02-16 |
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| CN201711023643.8A Pending CN107705269A (en) | 2017-10-27 | 2017-10-27 | A kind of denoising method in three-dimensional modeling |
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101286241A (en) * | 2008-04-17 | 2008-10-15 | 西北工业大学 | Three-dimensional architecture rapid modelling approach based on stereopair |
| CN103606151A (en) * | 2013-11-15 | 2014-02-26 | 南京师范大学 | A wide-range virtual geographical scene automatic construction method based on image point clouds |
| CN104330074A (en) * | 2014-11-03 | 2015-02-04 | 熊友谊 | Intelligent surveying and mapping platform and realizing method thereof |
| CN105354883A (en) * | 2015-11-25 | 2016-02-24 | 武汉大学 | 3ds Max fast and precise three-dimensional modeling method and system based on point cloud |
| CN106228609A (en) * | 2016-07-09 | 2016-12-14 | 武汉广图科技有限公司 | A kind of oblique photograph three-dimensional modeling method based on spatial signature information |
| CN106327573A (en) * | 2016-08-25 | 2017-01-11 | 成都慧途科技有限公司 | Real scene three-dimensional modeling method for urban building |
| CN106780712A (en) * | 2016-10-28 | 2017-05-31 | 武汉市工程科学技术研究院 | Joint laser scanning and the three-dimensional point cloud generation method of Image Matching |
| CN107064954A (en) * | 2017-05-24 | 2017-08-18 | 云南省交通规划设计研究院 | A kind of highway topography mapping method and system based on vehicle-mounted and airborne cloud |
-
2017
- 2017-10-27 CN CN201711023643.8A patent/CN107705269A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101286241A (en) * | 2008-04-17 | 2008-10-15 | 西北工业大学 | Three-dimensional architecture rapid modelling approach based on stereopair |
| CN103606151A (en) * | 2013-11-15 | 2014-02-26 | 南京师范大学 | A wide-range virtual geographical scene automatic construction method based on image point clouds |
| CN104330074A (en) * | 2014-11-03 | 2015-02-04 | 熊友谊 | Intelligent surveying and mapping platform and realizing method thereof |
| CN105354883A (en) * | 2015-11-25 | 2016-02-24 | 武汉大学 | 3ds Max fast and precise three-dimensional modeling method and system based on point cloud |
| CN106228609A (en) * | 2016-07-09 | 2016-12-14 | 武汉广图科技有限公司 | A kind of oblique photograph three-dimensional modeling method based on spatial signature information |
| CN106327573A (en) * | 2016-08-25 | 2017-01-11 | 成都慧途科技有限公司 | Real scene three-dimensional modeling method for urban building |
| CN106780712A (en) * | 2016-10-28 | 2017-05-31 | 武汉市工程科学技术研究院 | Joint laser scanning and the three-dimensional point cloud generation method of Image Matching |
| CN107064954A (en) * | 2017-05-24 | 2017-08-18 | 云南省交通规划设计研究院 | A kind of highway topography mapping method and system based on vehicle-mounted and airborne cloud |
Non-Patent Citations (2)
| Title |
|---|
| SKYLINEGLOBE: "实景三维公开课丨倾斜摄影航摄数据处理和三维模型等成果生产标准制定", 《SKYLINEGLOBE》 * |
| 邹小丹: "基于半全局优化的多视影像匹配方法与应用", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
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