CN104315974A - Three dimension scan data processing method - Google Patents
Three dimension scan data processing method Download PDFInfo
- Publication number
- CN104315974A CN104315974A CN201410566358.0A CN201410566358A CN104315974A CN 104315974 A CN104315974 A CN 104315974A CN 201410566358 A CN201410566358 A CN 201410566358A CN 104315974 A CN104315974 A CN 104315974A
- Authority
- CN
- China
- Prior art keywords
- point
- scan
- scintigram
- image
- initial
- 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
Landscapes
- Image Processing (AREA)
Abstract
The invention provides a three dimension scan data processing method. The three dimension scan data processing method particularly includes steps: S1, placing a target object on a workbench, and rotating the workbench; S2, starting a scanner to regularly scan the target object, and obtaining N scan images which can completely cover the target object after combined, wherein each two adjacent scan images have coincident points, and N is larger than or equal to 3; S3, selecting one scan image as an initial image, and selecting a point in the initial image as an original point; S4, calculating coordinates of all points in the initial image, relative to the original point, and building an initial image point set; S5, selecting the scan image with a point coincident with a point on the initial image as a second scan image, calculating coordinates of all points of the second scan image according to the coordinate of the point of the second scan image, coincident with the point on the initial image, and building a second image point set; S6, building a third scan image point set; S7, obtaining scan point sets which can completely cover the target object on the analogy of the above steps; S8, building a target model according to the scan point sets. The three dimension scan data processing method uses a relative coordinate method to perform scan data calculation, facilitates calculation simplification, and improves efficiency.
Description
Technical field
The present invention relates to 3-D scanning technical field, particularly relate to a kind of 3 d scan data disposal route.
Background technology
3 D visual measurement is the three-dimensional non-contact measurement technology of view-based access control model concept, and it recovers 3D shape based on figure, image, has high-speed and high-efficiency, increasingly automated and low cost and other advantages.Requiring automatically, online, fast in modern industry three-dimensional measurement technology, 3 D visual measurement is of paramount importance developing direction.This technology and can not allow the surface contacted to measure to human body, product model, therefore be with a wide range of applications in fields such as reverse-engineering, rapid prototyping, virtual reality, machine vision, be specifically related to numerous industries such as automobile, manufacturing industry, Aero-Space, medical science, shaping, archaeology, robot.
A kind of common application of 3 D visual measuring technique is exactly spatial digitizer.Existing spatial digitizer is by mate by monumented point after taking pictures to object or characteristic matching carries out model reproduction, and owing to not having unified object of reference, matching process calculated amount greatly and easily make mistakes.
Summary of the invention
Based on the technical matters that background technology exists, the present invention proposes a kind of 3 d scan data disposal route, adopt relative coordinate method to carry out scan-data calculating, be conducive to simplifying calculating, raise the efficiency.
A kind of 3 d scan data disposal route that the present invention proposes, rotary table, carries out depth scan to object and obtains multiple scintigram, combine multiple scintigram, and obtain object module, concrete steps are as follows:
S1, object to be settled on the table, and rotary table;
S2, open scanner timing depth scan object, obtaining after combination can N part scintigram of coverage goal thing comprehensively, and adjacent two parts of scintigrams have coincide point, N >=3;
S3, choose a scintigram as initial graph, and from initial graph, choose a point as initial point;
In S4, calculating initial graph, each point is relative to the coordinate of initial point, sets up initial graph point set;
S5, choose and have the scintigram of coincide point as rescan figure with initial graph, calculate each point coordinate of rescan figure according to initial graph coincide point coordinate, set up rescan figure point set;
S6, choose and have the scintigram of coincide point as three scintigrams with rescan figure, calculate three each point coordinate of scintigram according to rescan figure coincide point coordinate, set up three scintigram point sets;
S7, the like, obtain the scanning point set of comprehensive coverage goal thing;
S8, according to scanning point set set up object module.
Preferably, in step S1, worktable at the uniform velocity rotates along same direction.
The present invention makes full use of the uniqueness of relative coordinate, calculates each point coordinate of several scintigrams in the mode of coordinate transmission, thus obtains each point coordinate of target surface, and generates object module, completes the scanner uni Model Reconstruction work to object.
In the present invention, using the starting point calculated as each point coordinate of rear a scintigram with the coincide point of front a scintigram, method is reasonable, high precision, high-level efficiency.
3 d scan data disposal route provided by the invention, without the need to arranging unique point, method advantages of simple, applied widely.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of a kind of 3 d scan data disposal route that the present invention proposes.
Embodiment
With reference to Fig. 1, a kind of 3 d scan data disposal route that the present invention proposes, by rotary table, carries out depth scan to object and obtains multiple scintigram, combine multiple scintigram, obtains object module.
A kind of 3 d scan data disposal route concrete steps that the present invention proposes are as follows:
S1, object to be settled on the table, and rotary table.
In this step, worktable at the uniform velocity rotates along same direction, for the stable of scanning work can to providing safeguard.
Rotary table is the basis of carrying out comprehensive scanning, and the stability that object is installed is directly connected to the steady of object in rotary course, avoids scanning deviation.
S2, open scanner timing depth scan object, obtaining after combination can N part scintigram of coverage goal thing comprehensively, and adjacent two parts of scintigrams have coincide point, N >=3.
From optical projection, take pictures from both direction to same object, simultaneously the scope of taking pictures impossible meet cover object comprehensively and have the condition of coincide point, so, N >=3.
In this step, by arranging scanner, make every a scintigram include two end points of object central shaft, thus simplify the split step of scintigram.
S3, choose a scintigram as initial graph, and from initial graph, choose a point as initial point.
In S4, calculating initial graph, each point is relative to the coordinate of initial point, sets up initial graph point set.
S5, choose and have the scintigram of coincide point as rescan figure with initial graph, calculate each point coordinate of rescan figure according to initial graph coincide point coordinate, set up rescan figure point set.
S6, choose and have the scintigram of coincide point as three scintigrams with rescan figure, calculate three each point coordinate of scintigram according to rescan figure coincide point coordinate, set up three scintigram point sets.
S7, the like, obtain the scanning point set of comprehensive coverage goal thing.
Take full advantage of the uniqueness of relative coordinate in step S3 to S7, calculate the scanning point set of comprehensive coverage goal thing, degree of accuracy is high, and calculated amount is few, is conducive to improving data-handling efficiency.
S8, according to scanning point set set up object module.
Below in conjunction with specific embodiment, the present invention is further explained.
In the present embodiment, N=3, then concrete steps are as follows.
S1A, object to be settled on the table, and rotary table.
S2A, open scanner, object often rotates 120 degree and carries out a depth scan order to object, obtains 3 parts of scintigrams, 3 parts of scintigrams include object highs and lows and can coverage goal thing comprehensively after combining; Adjacent two parts of scintigrams have coincide point, and namely first part of scintigram and second part of scintigram have coincide point, and second part of scintigram and the 3rd part of scintigram have coincide point, and the 3rd part of scintigram and first part of scintigram have coincide point.
S3A, choose first part of scintigram as initial graph, and from initial graph, choose a point as initial point.
In S4A, calculating first part of scintigram, each point is relative to the coordinate of initial point, sets up initial graph point set.
S5A, choose second part of scintigram and the 3rd part of scintigram as rescan figure, calculate second part of scintigram and the 3rd part of each point coordinate of scintigram according to the coincide point coordinate of second part of scintigram and the 3rd part of scintigram and first part of scintigram respectively, set up rescan figure point set.
S6A, due in the present embodiment, all there is coincide point, so there is no three scintigrams in the present embodiment as first part of scintigram of initial graph and remaining scintigram.
S7A, set initial graph point set and rescan figure point set, obtain the scanning point set of comprehensive coverage goal thing.
This not in, appear at the coincide point that initial graph point set and rescan figure point concentrate simultaneously and only calculate once when setting up scanning point set.
S8A, according to scanning point set set up object module.
The above; be only the present invention's preferably embodiment; but protection scope of the present invention is not limited thereto; anyly be familiar with those skilled in the art in the technical scope that the present invention discloses; be equal to according to technical scheme of the present invention and inventive concept thereof and replace or change, all should be encompassed within protection scope of the present invention.
Claims (2)
1. a 3 d scan data disposal route, is characterized in that, rotary table, carries out depth scan and obtains multiple scintigram, combine multiple scintigram object, and obtain object module, concrete steps are as follows:
S1, object to be settled on the table, and rotary table;
S2, open scanner timing depth scan object, obtaining after combination can N part scintigram of coverage goal thing comprehensively, and adjacent two parts of scintigrams have coincide point, N >=3;
S3, choose a scintigram as initial graph, and from initial graph, choose a point as initial point;
In S4, calculating initial graph, each point is relative to the coordinate of initial point, sets up initial graph point set;
S5, choose and have the scintigram of coincide point as rescan figure with initial graph, calculate each point coordinate of rescan figure according to initial graph coincide point coordinate, set up rescan figure point set;
S6, choose and have the scintigram of coincide point as three scintigrams with rescan figure, calculate three each point coordinate of scintigram according to rescan figure coincide point coordinate, set up three scintigram point sets;
S7, the like, obtain the scanning point set of comprehensive coverage goal thing;
S8, according to scanning point set set up object module.
2. 3 d scan data disposal route as claimed in claim 1, it is characterized in that, in step S1, worktable at the uniform velocity rotates along same direction.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410566358.0A CN104315974A (en) | 2014-10-22 | 2014-10-22 | Three dimension scan data processing method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410566358.0A CN104315974A (en) | 2014-10-22 | 2014-10-22 | Three dimension scan data processing method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN104315974A true CN104315974A (en) | 2015-01-28 |
Family
ID=52371240
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410566358.0A Pending CN104315974A (en) | 2014-10-22 | 2014-10-22 | Three dimension scan data processing method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104315974A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104315975A (en) * | 2014-10-22 | 2015-01-28 | 合肥斯科尔智能科技有限公司 | Linear three dimension and high precision scan method |
CN110533009A (en) * | 2019-09-24 | 2019-12-03 | 广州魁科机电科技有限公司 | Large-scale workpiece 3-D scanning identification point intelligent identification Method and processing unit |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1526121A (en) * | 2001-06-20 | 2004-09-01 | �ʼҷ����ֵ�������˾ | Method of reconstructing a high-resolution 3d image |
JP2004348575A (en) * | 2003-05-23 | 2004-12-09 | Foundation For The Promotion Of Industrial Science | Three-dimensional model construction system and its program |
CN1996387A (en) * | 2006-08-14 | 2007-07-11 | 东南大学 | Mark point matching method for point-cloud registration in 3D scanning system |
CN101000499A (en) * | 2006-12-18 | 2007-07-18 | 浙江大学 | Contour machining method and system based on multi-sensor integral measuring |
CN102831101A (en) * | 2012-07-30 | 2012-12-19 | 河南工业职业技术学院 | Point cloud data splicing method based on automatic identification of plurality of mark points |
CN103292699A (en) * | 2013-05-27 | 2013-09-11 | 深圳先进技术研究院 | Three-dimensional scanning system and three-dimensional scanning method |
-
2014
- 2014-10-22 CN CN201410566358.0A patent/CN104315974A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1526121A (en) * | 2001-06-20 | 2004-09-01 | �ʼҷ����ֵ�������˾ | Method of reconstructing a high-resolution 3d image |
JP2004348575A (en) * | 2003-05-23 | 2004-12-09 | Foundation For The Promotion Of Industrial Science | Three-dimensional model construction system and its program |
CN1996387A (en) * | 2006-08-14 | 2007-07-11 | 东南大学 | Mark point matching method for point-cloud registration in 3D scanning system |
CN101000499A (en) * | 2006-12-18 | 2007-07-18 | 浙江大学 | Contour machining method and system based on multi-sensor integral measuring |
CN102831101A (en) * | 2012-07-30 | 2012-12-19 | 河南工业职业技术学院 | Point cloud data splicing method based on automatic identification of plurality of mark points |
CN103292699A (en) * | 2013-05-27 | 2013-09-11 | 深圳先进技术研究院 | Three-dimensional scanning system and three-dimensional scanning method |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104315975A (en) * | 2014-10-22 | 2015-01-28 | 合肥斯科尔智能科技有限公司 | Linear three dimension and high precision scan method |
CN110533009A (en) * | 2019-09-24 | 2019-12-03 | 广州魁科机电科技有限公司 | Large-scale workpiece 3-D scanning identification point intelligent identification Method and processing unit |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zhang et al. | Stereo vision based autonomous robot calibration | |
JP6465789B2 (en) | Program, apparatus and method for calculating internal parameters of depth camera | |
US11403780B2 (en) | Camera calibration device and camera calibration method | |
US7830374B2 (en) | System and method for integrating dispersed point-clouds of multiple scans of an object | |
JP5713624B2 (en) | 3D measurement method | |
CN105806251A (en) | Four-axis measuring system based on line laser sensor and measuring method thereof | |
Lai et al. | Registration and data merging for multiple sets of scan data | |
Xu et al. | Multi-camera global calibration for large-scale measurement based on plane mirror | |
CN105674926A (en) | Point cloud splicing method and system | |
Wang et al. | A vision-based fully-automatic calibration method for hand-eye serial robot | |
CN105094129B (en) | A kind of robot tool tip positioning system and its localization method | |
CN103697811B (en) | A kind of camera is combined the method obtaining contour of object three-dimensional coordinate with structure light source | |
CN110487233B (en) | Method and system for correcting robot user coordinate system | |
Hosseininaveh et al. | A low-cost and portable system for 3D reconstruction of texture-less objects | |
CN109773589B (en) | Method, device and equipment for online measurement and machining guidance of workpiece surface | |
Li et al. | A performance evaluation method to compare the multi-view point cloud data registration based on ICP algorithm and reference marker | |
Liu et al. | Portable light pen 3D vision coordinate measuring system-probe tip center calibration | |
CN104315974A (en) | Three dimension scan data processing method | |
Yamauchi et al. | Calibration of a structured light system by observing planar object from unknown viewpoints | |
Franceschini et al. | Multivariate control charts for monitoring internal camera parameters in digital photogrammetry for LSDM (Large-Scale Dimensional Metrology) applications | |
Fu et al. | A flexible approach to light pen calibration for a monocular-vision-based coordinate measuring system | |
CN106373183A (en) | Model establishing method based on three-dimensional data processing | |
Zhang et al. | Measuring propeller blade width using binocular stereo vision | |
Liling et al. | Study of CCD vision-based monitoring system for NC lathes | |
Chang et al. | Plane-based geometric calibration of a projector-camera reconstruction system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20150128 |