CN109461183A - A kind of method of space coordinate point and point cloud location point Three Dimensional Contrast - Google Patents
A kind of method of space coordinate point and point cloud location point Three Dimensional Contrast Download PDFInfo
- Publication number
- CN109461183A CN109461183A CN201811234368.9A CN201811234368A CN109461183A CN 109461183 A CN109461183 A CN 109461183A CN 201811234368 A CN201811234368 A CN 201811234368A CN 109461183 A CN109461183 A CN 109461183A
- Authority
- CN
- China
- Prior art keywords
- point
- point cloud
- dimensional
- data
- space coordinate
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10028—Range image; Depth image; 3D point clouds
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computer Graphics (AREA)
- Geometry (AREA)
- Software Systems (AREA)
- User Interface Of Digital Computer (AREA)
- Length Measuring Devices With Unspecified Measuring Means (AREA)
Abstract
The invention discloses a kind of space coordinate points and the method for putting cloud location point Three Dimensional Contrast, first the data of associated workpiece are extracted using hand-held spatial digitizer, reuse the raw information that three coordinate measuring engine measurement goes out workpiece, acquisition has two groups of three dimensional point clouds, it is all the point cloud data on a sample workpiece surface, two groups of data are imported into Pro/ENGINEER software again, by space coordinate model and rebuild point cloud model progress spatial point cloud comparative analysis.By above-mentioned, the method for space coordinate point provided by the invention and point cloud location point Three Dimensional Contrast, this method relative ease is easy to use, has many advantages, such as that precision is high, signal-to-noise ratio is high, is influenced flexibility minimum, with higher by the external world.
Description
Technical field
The present invention relates to digital geometry field, more particularly to a kind of space coordinate point and point cloud location point are three-dimensional
Comparative analysis.
Background technique
With the rapid development of computer technology, three-dimensional reconstruction carries out three-dimensional reconstruction according to image and restores target or scene
Three-dimensional information has industrially been widely applied in terms of augmented reality field.3 D scene rebuilding is computer vision
One core content in field, the model result that three-dimensional reconstruction generates are mainly the space coordinate of target or scene table millet cake,
The fields such as computer, electronic entertainment, virtual display suffer from wide application value.
Dotted image information is not still transformed into whole description by the three-dimensional reconstruction process from two dimensional image to 3 D stereo
An accumulation process, the aggregation of information can also be improved by the way that certain prior informations are added.Existing three-dimensional reconstruction
The prior information utilized is objective information, and still lacking has efficacious prescriptions using human subject's perception improvement partial 3 d reconstruction effect
Method.
Summary of the invention
The invention mainly solves the technical problem of providing the sides of a kind of space coordinate point and point cloud location point Three Dimensional Contrast
Method, this method relative ease is easy to use, has precision height, signal-to-noise ratio high, is influenced by the external world minimum, with higher flexible
The advantages that property.
In order to solve the above technical problems, one technical scheme adopted by the invention is that: provide a kind of space coordinate point with
The method of point cloud location point Three Dimensional Contrast, comprising the following specific steps
Step 1: using spatial digitizer by associated workpiece complete scan one time, progress bar below software screen is waited to handle
After finishing scan data, scan model is just automatically generated；
Step 2: using three coordinate measuring machine, when gauge head contact workpiece and when issuing sampling site signal, goes acquisition to work as by control system
Coordinate value of the preceding lathe triaxial coordinate relative to machine origin, then data are handled by computer system；
Step 3: switching to original coordinates value, imports software, and spatial value and point cloud model are carried out spatial point cloud to score
Analysis；
Step 4: the point cloud data acquired using 2015 Duis of Geomagic Wrap is optimized, and by the data of 3D scanning and is led
The file entered is converted to model, improves reverse modeling Three-dimensional Gravity and lays foundations cloud precision, obtains complete point cloud model.
In a preferred embodiment of the present invention, the type of the spatial digitizer in the step one is surveyed including three coordinates
Measure instrument, photo taking type spatial digitizer and handheld three-dimensional scanner.
In a preferred embodiment of the present invention, the software in the step three is Pro/ENGINEER software.
The beneficial effects of the present invention are: space coordinate point of the invention and the method for putting cloud location point Three Dimensional Contrast, pass through
Spatial digitizer and three coordinate measuring machine carry out non-cpntact measurement to associated workpiece to obtain point cloud data and space coordinate, then make
The point cloud data acquired with 2015 Duis of Geomagic Wrap optimizes, and carries out space seat using Pro/ENGINEER software
Comparative analysis is marked, complete point cloud model is obtained, compared with conventional acquisition point cloud model, the method increase space coordinates
Precision and complete three-dimensional point cloud model, relative ease is easy to use, has that precision is high, signal-to-noise ratio is high, is influenced pole by the external world
The advantages that flexibility small, with higher.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing, in which:
Fig. 1 is the flow chart of space coordinate point of the present invention with a preferred embodiment of the method for point cloud location point Three Dimensional Contrast.
Specific embodiment
The technical scheme in the embodiments of the invention will be clearly and completely described below, it is clear that described implementation
Example is only a part of the embodiments of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
Technical staff's all other embodiment obtained without making creative work belongs to the model that the present invention protects
It encloses.
As shown in Figure 1, the embodiment of the present invention includes:
A kind of method of space coordinate point and point cloud location point Three Dimensional Contrast, comprising the following specific steps
Step 1: using spatial digitizer by associated workpiece complete scan one time, progress bar below software screen is waited to handle
After finishing scan data, scan model is just automatically generated；
Step 2: using three coordinate measuring machine, when gauge head contact workpiece and when issuing sampling site signal, goes acquisition to work as by control system
Coordinate value of the preceding lathe triaxial coordinate relative to machine origin, then data are handled by computer system；
Step 3: switching to original coordinates value, imports software, and spatial value and point cloud model are carried out spatial point cloud to score
Analysis；
Step 4: the point cloud data acquired using 2015 Duis of Geomagic Wrap is optimized, and by the data of 3D scanning and is led
The file entered is converted to model, improves reverse modeling Three-dimensional Gravity and lays foundations cloud precision, obtains complete point cloud model.
Among the above, the type of the spatial digitizer in the step one includes that three-coordinates measuring machine, photo taking type three-dimensional are swept
Retouch instrument and handheld three-dimensional scanner；Software in the step three is Pro/ENGINEER software.
Spatial digitizer first is held using Artec Space Spider to extract the data of associated workpiece, is reused
Duramax three coordinate measuring engine measurement goes out the raw information of workpiece.Acquisition has two groups of three dimensional point clouds, is all a workpiece sample
The point cloud data on product surface, data are .txt format, then two groups of data are imported Pro/ENGINEER software, and space is sat
It marks model and rebuilds point cloud model and carry out spatial point cloud comparative analysis.
The method for obtaining complete point cloud model is compared by the precision of two kinds of acquisition coordinate datas, it is reverse to improve with this
The Three-dimensional Gravity of modeling technique is laid foundations the acquisition method of cloud precision.
Embodiment one:
It (including luminous environment: is kept away 1. carrying out 3-D scanning and must ensure that spatial digitizer is built upon in a stable environment first
Exempt from strong light and backlight to penetrating；The stability etc. of spatial digitizer), it is ensured that 3-D scanning result not will receive the shadow of external factor
It rings.Before 3-D scanning, machine is carried out to calibrate a particularly critical step.In a calibration process, pre- according to spatial digitizer
The scan pattern being first arranged calculates scanning device relative to the position to sweep object.The scanning of some body surfaces is to compare
Difficult.These objects are needed to cover scanned object surface using dumb light white imaging agent, scanning object are sprayed thin
One layer of thin imaging agent, it is therefore an objective to be the three-dimensional feature in order to preferably scan object, data can be more accurate.Use 3-D scanning
Instrument carries out three-dimensional data capture to scanning object from different angles, changes object disposing way or adjustment spatial digitizer camera
Direction carries out comprehensive scanning to object.After the completion of body surface scanning, system can automatically generate the three-dimensional point cloud of object
Model.
2. measured workpiece will be cleaned first before detection, remove burr in order to avoid measurement result is caused to be distorted.Place measured workpiece
In, it is important to note that protection does not damage measuring machine and part, part, which is placed in, to be facilitated the smallest position of detection, Abbe error and consolidates
It is fixed secured.Using three coordinate measuring machine, when gauge head contact workpiece and when issuing sampling site signal, gone to acquire current machine by control system
Coordinate value of the bed triaxial coordinate relative to machine origin, then data are handled by computer system.
3. switching to original coordinates value, 2 GRAPH files are established in Pro/ENGINEER software.It is directed respectively into corresponding
File is imported 2 GRAPH, and local coordinate system is arranged by point data file.Corresponding point data file is read respectively, and is joined
Examination point data file carries out two-dimensional pattern drafting, and the file completed is imported 2 GRAPH, and local coordinate system is arranged.
After comparative analysis, two surfaces are slightly tilted.Extract size constancy on importing two groups of coordinate points, the characteristic point of eigentransformation,
And spatial value and point cloud model space coordinate comparative analysis are carried out to two groups of characteristic point.
4. the point cloud data acquired using 2015 Duis of Geomagic Wrap is optimized, the data and importing that 3D is scanned
File be converted to model, improve reverse modeling Three-dimensional Gravity and lay foundations cloud precision, obtain complete point cloud model.
By the spatial digitizer of " Artec Spider " (ata gram spider) and three coordinate measuring machine to associated workpiece into
Row non-cpntact measurement reuses the point cloud data of 2015 pairs of Geomagic Wrap acquisitions to obtain point cloud data and space coordinate
It optimizes, and carries out space coordinate comparative analysis using Pro/ENGINEER software, obtain complete point cloud model.With routine
Acquisition point cloud model compare, the method increase the precision of space coordinate and complete three-dimensional point cloud models.
In conclusion space coordinate point of the invention and the method for putting cloud location point Three Dimensional Contrast, this method relative ease,
It is easy to use, have many advantages, such as that precision is high, signal-to-noise ratio is high, is influenced flexibility minimum, with higher by the external world.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright description is applied directly or indirectly in other relevant technology necks
Domain is included within the scope of the present invention.
Claims (3)
1. a kind of space coordinate point and the method for putting cloud location point Three Dimensional Contrast, which is characterized in that comprising the following specific steps
Step 1: using spatial digitizer by associated workpiece complete scan one time, progress bar below software screen is waited to handle
After finishing scan data, scan model is just automatically generated；
Step 2: using three coordinate measuring machine, when gauge head contact workpiece and when issuing sampling site signal, goes acquisition to work as by control system
Coordinate value of the preceding lathe triaxial coordinate relative to machine origin, then data are handled by computer system；
Step 3: switching to original coordinates value, imports software, and spatial value and point cloud model are carried out spatial point cloud to score
Analysis；
Step 4: the point cloud data acquired using 2015 Duis of Geomagic Wrap is optimized, and by the data of 3D scanning and is led
The file entered is converted to model, improves reverse modeling Three-dimensional Gravity and lays foundations cloud precision, obtains complete point cloud model.
2. space coordinate point according to claim 1 and the method for putting cloud location point Three Dimensional Contrast, which is characterized in that described
The step of one in spatial digitizer type include three-coordinates measuring machine, photo taking type spatial digitizer and handheld three-dimensional scanning
Instrument.
3. space coordinate point according to claim 1 and the method for putting cloud location point Three Dimensional Contrast, which is characterized in that described
The step of three in software be Pro/ENGINEER software.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811234368.9A CN109461183A (en) | 2018-10-23 | 2018-10-23 | A kind of method of space coordinate point and point cloud location point Three Dimensional Contrast |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811234368.9A CN109461183A (en) | 2018-10-23 | 2018-10-23 | A kind of method of space coordinate point and point cloud location point Three Dimensional Contrast |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109461183A true CN109461183A (en) | 2019-03-12 |
Family
ID=65608120
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811234368.9A Pending CN109461183A (en) | 2018-10-23 | 2018-10-23 | A kind of method of space coordinate point and point cloud location point Three Dimensional Contrast |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109461183A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111640149A (en) * | 2020-06-01 | 2020-09-08 | 中国人民解放军63653部队 | Analysis method for evaluating point cloud modeling error |
| CN112184885A (en) * | 2020-09-25 | 2021-01-05 | 深圳数马电子技术有限公司 | Method and device for establishing workpiece coordinate system |
| CN112240753A (en) * | 2020-08-28 | 2021-01-19 | 天津大学 | Machine vision-based bridge structure three-dimensional modeling method |
| CN113920185A (en) * | 2021-09-03 | 2022-01-11 | 佛山中科云图智能科技有限公司 | Tower line point cloud data checking method |
| CN114918723A (en) * | 2022-07-20 | 2022-08-19 | 湖南晓光汽车模具有限公司 | Workpiece positioning control system and method based on surface detection |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103049596A (en) * | 2012-11-15 | 2013-04-17 | 四川达宇特种车辆制造厂 | Method for improving reverse engineering accuracy of impeller part |
| CN103106632A (en) * | 2012-11-29 | 2013-05-15 | 华中科技大学 | Fusion method of different-accuracy three-dimension point cloud data based on mean shift |
| CN107127755A (en) * | 2017-05-12 | 2017-09-05 | 华南理工大学 | A kind of real-time acquisition device and robot polishing method for planning track of three-dimensional point cloud |
| CN107818590A (en) * | 2017-09-11 | 2018-03-20 | 童和平 | Free form surface product reverse-engineering based on three-dimensional optical scanning models forming method |
| CN108362240A (en) * | 2018-01-30 | 2018-08-03 | 深圳市圆梦精密技术研究院 | Obtain workpiece coordinate system, method |
-
2018
- 2018-10-23 CN CN201811234368.9A patent/CN109461183A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103049596A (en) * | 2012-11-15 | 2013-04-17 | 四川达宇特种车辆制造厂 | Method for improving reverse engineering accuracy of impeller part |
| CN103106632A (en) * | 2012-11-29 | 2013-05-15 | 华中科技大学 | Fusion method of different-accuracy three-dimension point cloud data based on mean shift |
| CN107127755A (en) * | 2017-05-12 | 2017-09-05 | 华南理工大学 | A kind of real-time acquisition device and robot polishing method for planning track of three-dimensional point cloud |
| CN107818590A (en) * | 2017-09-11 | 2018-03-20 | 童和平 | Free form surface product reverse-engineering based on three-dimensional optical scanning models forming method |
| CN108362240A (en) * | 2018-01-30 | 2018-08-03 | 深圳市圆梦精密技术研究院 | Obtain workpiece coordinate system, method |
Non-Patent Citations (3)
| Title |
|---|
| 刘鹏鑫: ""基于光学扫描和CMM测量数据的模型重建关键技术研究"", 《中国博士学位论文全文数据库 工程科技Ⅱ辑》 * |
| 张文灼: ""基于Geomagic的汽车节温器盖逆向工程设计及其型面精度检测技术研究"", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
| 曹江林: ""基于多传感器测量的CAD逆向建模技术研究"", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111640149A (en) * | 2020-06-01 | 2020-09-08 | 中国人民解放军63653部队 | Analysis method for evaluating point cloud modeling error |
| CN112240753A (en) * | 2020-08-28 | 2021-01-19 | 天津大学 | Machine vision-based bridge structure three-dimensional modeling method |
| CN112184885A (en) * | 2020-09-25 | 2021-01-05 | 深圳数马电子技术有限公司 | Method and device for establishing workpiece coordinate system |
| CN112184885B (en) * | 2020-09-25 | 2024-05-28 | 深圳数马电子技术有限公司 | Method and device for establishing workpiece coordinate system |
| CN113920185A (en) * | 2021-09-03 | 2022-01-11 | 佛山中科云图智能科技有限公司 | Tower line point cloud data checking method |
| CN114918723A (en) * | 2022-07-20 | 2022-08-19 | 湖南晓光汽车模具有限公司 | Workpiece positioning control system and method based on surface detection |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109461183A (en) | A kind of method of space coordinate point and point cloud location point Three Dimensional Contrast | |
| CN106959078B (en) | A kind of contour measuring method for measuring three-dimensional profile | |
| CN108151671B (en) | A kind of 3 D digital imaging sensor, 3 D scanning system and its scan method | |
| CN104132613B (en) | Noncontact optical volume measurement method for complex-surface and irregular objects | |
| CN109544628B (en) | Accurate reading identification system and method for pointer instrument | |
| CN109242918B (en) | Helicopter-borne binocular stereo vision calibration method | |
| WO2024109796A1 (en) | Method and apparatus for detecting pose of scanning head, device, and medium | |
| US20080030498A1 (en) | System and method for integrating dispersed point-clouds of multiple scans of an object | |
| JP6895382B2 (en) | A method and device for displaying a two-dimensional image of an object to be viewed at the same time as an image for drawing a three-dimensional shape of the object to be viewed. | |
| CN203616780U (en) | Human body three-dimensional scanning reconstruction apparatus | |
| CN106097433A (en) | Object industry and the stacking method of Image model and system | |
| CN110672037A (en) | Linear light source grating projection three-dimensional measurement system and method based on phase shift method | |
| CN104771189B (en) | Three-dimensional head image aligns method and device | |
| CN116051659A (en) | Linear array camera and 2D laser scanner combined calibration method | |
| CN111311659B (en) | Calibration method based on three-dimensional imaging of oblique plane mirror | |
| WO2018168757A1 (en) | Image processing device, system, image processing method, article manufacturing method, and program | |
| CN102980511B (en) | A kind of 3 D scanning system and scan method thereof that scans dynamic object | |
| CN110728745B (en) | Underwater binocular stereoscopic vision three-dimensional reconstruction method based on multilayer refraction image model | |
| CN108175535A (en) | A kind of dentistry spatial digitizer based on microlens array | |
| Sansoni et al. | Feasibility of contactless 3D optical measurement for the analysis of bone and soft tissue lesions: new technologies and perspectives in forensic sciences | |
| CN116993790B (en) | Planting navigation registration method, system and storage medium | |
| CN110057312A (en) | A kind of monocular vision three-dimensional scanning measurement device and measurement method based on structure light | |
| CN113786228A (en) | Auxiliary puncture navigation system based on AR augmented reality | |
| CN110686651B (en) | Building facade measuring method and system based on three-dimensional laser scanning | |
| CN114565720A (en) | Active three-dimensional reconstruction system and method based on line structured light rotation scanning |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | 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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190312 |