CN109246417A - A kind of machine vision analysis system and method based on bore hole stereoscopic display - Google Patents
A kind of machine vision analysis system and method based on bore hole stereoscopic display Download PDFInfo
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- CN109246417A CN109246417A CN201811424925.3A CN201811424925A CN109246417A CN 109246417 A CN109246417 A CN 109246417A CN 201811424925 A CN201811424925 A CN 201811424925A CN 109246417 A CN109246417 A CN 109246417A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
- H04N2013/0074—Stereoscopic image analysis
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Abstract
The invention belongs to field of display technology, a kind of machine vision analysis system and method based on bore hole stereoscopic display is disclosed, the machine vision analysis system based on bore hole stereoscopic display includes: image capture module, image conversion module, central control module, correction module, performance evaluation module, memory module, display module.The present invention is by image conversion module to the medium of presentation without particular/special requirement；It can not only show on an electronic device, be equally applicable to traditional printed matter, the scope of application is wider；Simultaneously, the interlaced video and emulation intersection chart that are shot by correction module by computer analysis correction camera determine the actual cycle and slope of optical element in optics module, image or so aliasing or reversion can be avoided during 3D display row's figure, to realize automatically correcting for 3D display system, correction efficiency is improved, cost of labor is reduced.
Description
Technical field
The invention belongs to field of display technology more particularly to a kind of machine vision analysis systems based on bore hole stereoscopic display
And method.
Background technique
Machine vision is fast-developing branch of artificial intelligence.In brief, machine vision is exactly to use machine
It measures and judges instead of human eye.NI Vision Builder for Automated Inspection be by machine vision product (i.e. image-pickup device, divide CMOS and
Two kinds of CCD) it target will be ingested is converted into picture signal, it sends dedicated image processing system to, obtains the shape of target subject
State information is transformed into digitized signal according to the information such as pixel distribution and brightness, color；Picture system carries out these signals
Clarification of objective is extracted in various operations, and then the device action at scene is controlled according to the result of differentiation.However, existing solid
Image makes complexity in advance, and higher cost difficulty is larger, required virtual unit and its valuableness, it is difficult to universalness；Meanwhile it is existing
Pass through the corrected method low efficiency of method of artificial judgment to 3D display, it is inaccurate.
In conclusion problem of the existing technology is:
Existing stereo-picture makes complexity in advance, and higher cost difficulty is larger, required virtual unit and its valuableness, it is difficult to
Universalness；Meanwhile the existing corrected method low efficiency of method for passing through artificial judgment to 3D display, it is inaccurate.
Summary of the invention
In view of the problems of the existing technology, the machine vision analysis based on bore hole stereoscopic display that the present invention provides a kind of
System and method.
The invention is realized in this way a kind of machine vision analysis system based on bore hole stereoscopic display includes:
Image capture module, image conversion module, central control module, correction module, performance evaluation module, storage mould
Block, display module；
Image capture module is connect with image conversion module, for passing through camera collection image data；
Image conversion module is connect with image capture module, central control module, for that will be obtained by image processing software
Two-dimension picture is taken to convert naked eye 3D picture；
Central control module connects with image conversion module, correction module, performance evaluation module, memory module, display module
It connects, is worked normally for controlling modules by single-chip microcontroller；
Correction module is connect with central control module, for being corrected by correcting camera to bore hole stereoscopic display
Operation；
Performance evaluation module, connect with central control module, for passage capacity detection program to bore hole stereoscopic display
Machine stereoscopic display performance is analyzed；
Memory module is connect with central control module, for storing acquisition image data information by memory；
Display module is connect with central control module, for showing machine vision analysis system system circle by display
Face and naked eye 3D picture.
A kind of machine vision analysis method based on bore hole stereoscopic display the following steps are included:
Step 1 utilizes camera collection image data by image capture module；
Step 2 will acquire two-dimension picture using image processing software by image conversion module and convert naked eye 3D picture；
Step 3, central control module are corrected behaviour to bore hole stereoscopic display using correction camera by correction module
Make；
Step 4, passage capacity analysis module utility detect machine stereoscopic display of the program to bore hole stereoscopic display
It can be carried out analysis；
Step 5 utilizes memory storage acquisition image data information by memory module；And it is utilized by display module
Display shows machine vision analysis system system interface and naked eye 3D picture.
Further, described image conversion module method for transformation is as follows:
(1) obtain two-dimension picture and it includes parameter information；
(2) space 0-xyz is established, two-dimension picture spatial plane equation is acquired according to the parameter information that step (1) includes, is thrown
Shadow space of planes plane equation and view space coordinate；
(3) it acquires viewpoint and crosses two-dimension picture in the projection relation on perspective plane；
(4) naked eye 3D picture is drawn according to the projection relation that step (3) obtains.
Further, the parameter information includes: view dependency information: the vertical range Z of viewpoint P, viewpoint P and perspective plane and
The vertical range Y of intersection point β, β to central point image；
Reference substance relevant information: between the object of reference two-end-point of the perspective plane horizontal direction of two-dimension picture center away from
From λ, the two-end-point in two-dimension picture corresponding pixel P1、P2, positioned at the P of the central point of picture0, P0For P1、P2's
Midpoint.
Further, if the two-dimension picture is Software on Drawing, parameter information is direct by the software in step (1)
It extracts；If two-dimension picture be photo, step (1) parameter information by shooting different angle another one or several sheets photo and by
Software is calculated in conjunction with the two-dimension picture；If two-dimension picture is photo, step (1) parameter information is by shooting
It is that in-site measurement obtains.
Further, in the step (2), when x-axis is crossed on perspective plane, perspective plane spatial plane equation are as follows: y=(Y/Z) * z,
Wherein, the direction Y/Z y, z slope.
Further, in the step (2), the method that acquires eye coordinates are as follows: according to two-dimension picture center point coordinate, x, y
Direction slope acquires the linear equation being made of two-dimension picture central point and viewpoint, further according to object of reference two-end-point distance lambda and
Y, Z acquire view space coordinate.
Further, the correction module bearing calibration is as follows:
1) at correction camera distance display screen first position, according to default row scheme the period, default row's figure slope and
Default bias amount completion row's figure is shown and analogue simulation, obtains the first red blue intersection chart and the first analogous diagram, red to described first
Blue intersection chart and the first analogous diagram carry out Fourier analysis, and are approached according to Fourier analysis result to optical component model
It calculates, obtains updated optical model period, slope, iteration simulation process, until emulation and display measures of dispersion are less than
Default error threshold values, determine the first row figure period at the first position and first row figure slope；
2) in the correction camera distance display screen second place, according to default row scheme the period, default row's figure slope and
Default bias amount completion row's figure is shown and analogue simulation, obtains the second red blue intersection chart and the second analogous diagram, red to described second
Blue intersection chart and Fourier analysis is carried out with the first analogous diagram, and optical component model is connect according to Fourier analysis result
It is close to calculate, obtain updated optical model period, slope, iteration simulation process, until emulation and display measures of dispersion are small
In default error threshold values, the second row figure period in the second place and second row figure slope are determined；
3) actual cycle and optical element of optical element are determined according to the first row figure period and second row figure period
The distance between display screen；
4) determine the actual slope of optical element as row's figure slope according to first row figure slope and second row figure slope；
5) true according to the actual cycle of optical element, optical element and display the distance between screen and human eye depth relationship
Fixed row's figure period.
Further, the row scheme the distance between period, the actual cycle of optical element, optical element and display screen and
Human eye depth relationship are as follows:
Wherein, p is row's figure period, and d is human eye depth, and the actual cycle of l optical element, f is optical element distance display
The distance of screen.
Another object of the present invention is to provide the machine vision analysis sides described in a kind of realize based on bore hole stereoscopic display
The computer program of method.
Another object of the present invention is to provide the machine vision analysis sides described in a kind of realize based on bore hole stereoscopic display
The information data processing terminal of method.
Another object of the present invention is to provide a kind of computer readable storage mediums, including instruction, when it is in computer
When upper operation, so that computer executes the machine vision analysis method based on bore hole stereoscopic display.
Advantages of the present invention and good effect are as follows:
The present invention by image conversion module to the medium of presentation without particular/special requirement, either traditional media, as newspaper,
Books etc. are also possible to electronic media, such as computer, mobile phone, and suitability is good, have more cheap price, utilize popularization；
It can realize there is very strong professional grounding in basic skills without producer, it is only necessary to input parameter and grasp some bases by software program
It is low to enter gate threshold for this debugging operations, strong operability；Quarry is simple and easy to get, without specially 3D modeling, using common
The photo of camera shooting can also be completed；3D imaging effect is good, and viewpoint camera within 8 meters or so is shot is in simple eye viewing
3D, eyes viewing and camera shooting are in 3D to viewpoint farther out, are that deep hole eyes are watched with camera shooting in 3D；It does not need in display
The devices such as upper increase polarizing coating, have saved cost；The present invention can not only be shown on an electronic device, be equally applicable to traditional
Printed matter, the scope of application are wider；Meanwhile the interlaced video that is shot by correction module by computer analysis correction camera and imitative
True intersection chart and then the actual cycle and slope for determining optical element in optics module, can avoid figure during 3D display row's figure
As left and right aliasing or reversion to realize automatically correcting for 3D display system improve correction efficiency, reduce manually at
This.
Detailed description of the invention
Fig. 1 is the machine vision analysis method flow chart provided in an embodiment of the present invention based on bore hole stereoscopic display.
Fig. 2 is the machine vision analysis system structural block diagram provided in an embodiment of the present invention based on bore hole stereoscopic display.
In Fig. 2: 1, image capture module；2, image conversion module；3, central control module；4, correction module；5, performance
Analysis module；6, memory module；7, display module.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows.
Structure of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1, the machine vision analysis method provided by the invention based on bore hole stereoscopic display the following steps are included:
Step S101 utilizes camera collection image data by image capture module；
Step S102 will acquire two-dimension picture using image processing software by image conversion module and convert naked eye 3D figure
Piece；
Step S103, central control module are corrected bore hole stereoscopic display using correction camera by correction module
Operation；
Step S104, passage capacity analysis module utility detect machine stereoscopic display of the program to bore hole stereoscopic display
Performance is analyzed；
Step S105 utilizes memory storage acquisition image data information by memory module；And pass through display module benefit
Machine vision analysis system system interface and naked eye 3D picture are shown with display.
As shown in Fig. 2, the machine vision analysis system provided by the invention based on bore hole stereoscopic display includes: Image Acquisition
Module 1, image conversion module 2, central control module 3, correction module 4, performance evaluation module 5, memory module 6, display module
7。
Image capture module 1 is connect with image conversion module 2, for passing through camera collection image data；
Image conversion module 2 is connect, for passing through image processing software with image capture module 1, central control module 3
It will acquire two-dimension picture conversion naked eye 3D picture；
Central control module 3, with image conversion module 2, correction module 4, performance evaluation module 5, memory module 6, display
Module 7 connects, and works normally for controlling modules by single-chip microcontroller；
Correction module 4 is connect with central control module 3, for carrying out school to bore hole stereoscopic display by correcting camera
Positive operation；
Performance evaluation module 5 is connect with central control module 3, for passage capacity detection program to bore hole stereoscopic display
Machine stereoscopic display performance analyzed；
Memory module 6 is connect with central control module 3, for storing acquisition image data information by memory；
Display module 7 is connect with central control module 3, for showing machine vision analysis system system by display
Interface and naked eye 3D picture.
2 method for transformation of image conversion module provided by the invention is as follows:
(1) obtain two-dimension picture and it includes parameter information；
(2) space 0-xyz is established, two-dimension picture spatial plane equation is acquired according to the parameter information that step (1) includes, is thrown
Shadow space of planes plane equation and view space coordinate；
(3) it acquires viewpoint and crosses two-dimension picture in the projection relation on perspective plane；
(4) naked eye 3D picture is drawn according to the projection relation that step (3) obtains.
Parameter information provided by the invention includes: view dependency information: the vertical range Z of viewpoint P, viewpoint P and perspective plane
With the vertical range Y of intersection point β, β to central point image；
Reference substance relevant information: between the object of reference two-end-point of the perspective plane horizontal direction of two-dimension picture center away from
From λ, the two-end-point in two-dimension picture corresponding pixel P1、P2, positioned at the P of the central point of picture0, P0For P1、P2's
Midpoint.
If two-dimension picture provided by the invention is Software on Drawing, parameter information is straight by the software in step (1)
Connect extraction；If two-dimension picture is photo, step (1) parameter information is by shooting the another one or several sheets photo of different angle simultaneously
It is calculated by software in conjunction with the two-dimension picture；If two-dimension picture is photo, step (1) parameter information is by clapping
Take the photograph is that in-site measurement obtains.
In step (2) provided by the invention, when x-axis is crossed on perspective plane, perspective plane spatial plane equation are as follows: y=(Y/Z) *
Z, wherein the direction Y/Z y, z slope.
In step (2) provided by the invention, the method that acquires eye coordinates are as follows: according to two-dimension picture center point coordinate, x, y
Direction slope acquires the linear equation being made of two-dimension picture central point and viewpoint, further according to object of reference two-end-point distance lambda and
Y, Z acquire view space coordinate.
4 bearing calibration of correction module provided by the invention is as follows:
1) at correction camera distance display screen first position, according to default row scheme the period, default row's figure slope and
Default bias amount completion row's figure is shown and analogue simulation, obtains the first red blue intersection chart and the first analogous diagram, red to described first
Blue intersection chart and the first analogous diagram carry out Fourier analysis, and are approached according to Fourier analysis result to optical component model
It calculates, obtains updated optical model period, slope, iteration simulation process, until emulation and display measures of dispersion are less than
Default error threshold values, determine the first row figure period at the first position and first row figure slope；
2) in the correction camera distance display screen second place, according to default row scheme the period, default row's figure slope and
Default bias amount completion row's figure is shown and analogue simulation, obtains the second red blue intersection chart and the second analogous diagram, red to described second
Blue intersection chart and Fourier analysis is carried out with the first analogous diagram, and optical component model is connect according to Fourier analysis result
It is close to calculate, obtain updated optical model period, slope, iteration simulation process, until emulation and display measures of dispersion are small
In default error threshold values, the second row figure period in the second place and second row figure slope are determined；
3) actual cycle and optical element of optical element are determined according to the first row figure period and second row figure period
The distance between display screen；
4) determine the actual slope of optical element as row's figure slope according to first row figure slope and second row figure slope；
5) true according to the actual cycle of optical element, optical element and display the distance between screen and human eye depth relationship
Fixed row's figure period.
Row provided by the invention schemes the distance between period, the actual cycle of optical element, optical element and display screen
With human eye depth relationship are as follows:
Wherein, p is row's figure period, and d is human eye depth, and the actual cycle of l optical element, f is optical element distance display
The distance of screen.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or any combination thereof real
It is existing.When using entirely or partly realizing in the form of a computer program product, the computer program product include one or
Multiple computer instructions.When loading on computers or executing the computer program instructions, entirely or partly generate according to
Process described in the embodiment of the present invention or function.The computer can be general purpose computer, special purpose computer, computer network
Network or other programmable devices.The computer instruction may be stored in a computer readable storage medium, or from one
Computer readable storage medium is transmitted to another computer readable storage medium, for example, the computer instruction can be from one
A web-site, computer, server or data center pass through wired (such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)
Or wireless (such as infrared, wireless, microwave etc.) mode is carried out to another web-site, computer, server or data center
Transmission).The computer-readable storage medium can be any usable medium or include one that computer can access
The data storage devices such as a or multiple usable mediums integrated server, data center.The usable medium can be magnetic Jie
Matter, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state hard disk Solid
State Disk (SSD)) etc..
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (10)
1. a kind of machine vision analysis system based on bore hole stereoscopic display, which is characterized in that described to be based on bore hole stereoscopic display
Machine vision analysis system include:
Image capture module is connect with image conversion module, for passing through camera collection image data；
Image conversion module is connect with image capture module, central control module, for will acquire two by image processing software
It ties up picture and converts naked eye 3D picture；
Central control module is connect with image conversion module, correction module, performance evaluation module, memory module, display module,
It is worked normally for controlling modules by single-chip microcontroller；
Correction module is connect with central control module, for being corrected operation to bore hole stereoscopic display by correcting camera；
Performance evaluation module, connect with central control module, for passage capacity detection program to the machine of bore hole stereoscopic display
Stereoscopic display performance is analyzed；
Memory module is connect with central control module, for storing acquisition image data information by memory；
Display module is connect with central control module, for by display display machine vision analysis system system interface and
Naked eye 3D picture.
2. a kind of machine vision analysis system based on bore hole stereoscopic display as described in claim 1 based on bore hole stereoscopic display
Machine vision analysis method, which is characterized in that the machine vision analysis method based on bore hole stereoscopic display includes following
Step:
Step 1 utilizes camera collection image data by image capture module；
Step 2 will acquire two-dimension picture using image processing software by image conversion module and convert naked eye 3D picture；
Step 3, central control module are corrected operation to bore hole stereoscopic display using correction camera by correction module；
Step 4, passage capacity analysis module utility detect program to the machine stereoscopic display performance of bore hole stereoscopic display into
Row analysis；
Step 5 utilizes memory storage acquisition image data information by memory module；And display is utilized by display module
Device shows machine vision analysis system interface and naked eye 3D picture.
3. the machine vision analysis method based on bore hole stereoscopic display as claimed in claim 2, which is characterized in that described image turns
It is as follows to change module converter method:
(1) obtain two-dimension picture and it includes parameter information；
(2) space 0-xyz is established, two-dimension picture spatial plane equation, perspective plane are acquired according to the parameter information that step (1) includes
Spatial plane equation and view space coordinate；
(3) it acquires viewpoint and crosses two-dimension picture in the projection relation on perspective plane；
(4) naked eye 3D picture is drawn according to the projection relation that step (3) obtains.
4. the machine vision analysis method based on bore hole stereoscopic display as claimed in claim 3, which is characterized in that the parameter letter
Breath includes: view dependency information: viewpoint P, viewpoint P and the vertical range Z on perspective plane and intersection point β, β to the vertical of central point image
Distance Y；
Reference substance relevant information: the distance between object of reference two-end-point of perspective plane horizontal direction of two-dimension picture center λ,
The two-end-point corresponding pixel P in two-dimension picture1、P2, positioned at the P of the central point of picture0, P0For P1、P2Midpoint.
5. the machine vision analysis method based on bore hole stereoscopic display as claimed in claim 3, which is characterized in that if described two-dimentional
Picture is Software on Drawing, then parameter information is directly extracted by the software in step (1)；If two-dimension picture is photo,
Step (1) parameter information by shooting different angle another one or several sheets photo and by software in conjunction with the two-dimension picture
It is calculated；If two-dimension picture is photo, step (1) parameter information is by being that in-site measurement obtains in shooting；
In the step (2), when x-axis is crossed on perspective plane, perspective plane spatial plane equation are as follows: y=(Y/Z) * z, wherein Y/Z is
The direction y, z slope；
In the step (2), the method that acquires eye coordinates are as follows: according to two-dimension picture center point coordinate, x, the direction y slope is acquired
The linear equation being made of two-dimension picture central point and viewpoint acquires viewpoint further according to object of reference two-end-point distance lambda and Y, Z
Space coordinate.
6. the machine vision analysis method based on bore hole stereoscopic display as described in claim 1, which is characterized in that the straightening die
Block correction method is as follows:
1) in correction camera at display screen first position, period, default row's figure slope is schemed according to default row and preset
Offset completion row's figure is shown and analogue simulation, obtains the first red blue intersection chart and the first analogous diagram, to the described first red blue friendship
It knits figure and the first analogous diagram carries out Fourier analysis, and optical component model is carried out according to Fourier analysis result to approach meter
It calculates, obtains updated optical model period, slope, iteration simulation process until emulation and shows measures of dispersion less than pre-
If error threshold values, the first row figure period at the first position and first row figure slope are determined；
2) period, default row's figure slope are schemed according to default row and preset apart from the display screen second place in correction camera
Offset completion row's figure is shown and analogue simulation, obtains the second red blue intersection chart and the second analogous diagram, to the described second red blue friendship
It knits figure and carries out Fourier analysis with the first analogous diagram, and optical component model is carried out according to Fourier analysis result to approach meter
It calculates, obtains updated optical model period, slope, iteration simulation process until emulation and shows measures of dispersion less than pre-
If error threshold values, the second row figure period in the second place and second row figure slope are determined；
3) actual cycle and optical element and aobvious of optical element are determined according to the first row figure period and second row figure period
The distance between display screen curtain；
4) determine the actual slope of optical element as row's figure slope according to first row figure slope and second row figure slope；
5) it determines and arranges according to the distance between the actual cycle of optical element, optical element and display screen and human eye depth relationship
Scheme the period.
7. the machine vision analysis method based on bore hole stereoscopic display as claimed in claim 6, which is characterized in that the row schemes week
The distance between phase, the actual cycle of optical element, optical element and display screen and human eye depth relationship are as follows:
Wherein, p is row's figure period, and d is human eye depth, and the actual cycle of l optical element, f is optical element distance display screen
Distance.
8. a kind of realize described in claim 2~7 any one based on the machine vision analysis method of bore hole stereoscopic display
Calculation machine program.
9. a kind of letter for realizing the machine vision analysis method described in claim 2~7 any one based on bore hole stereoscopic display
Cease data processing terminal.
10. a kind of computer readable storage medium, including instruction, when run on a computer, so that computer executes such as
Machine vision analysis method described in claim 2-7 any one based on bore hole stereoscopic display.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109605927A (en) * | 2019-02-02 | 2019-04-12 | 太阳机械股份有限公司 | A kind of Large-scale satellite formula 3D print system and its working method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105898287A (en) * | 2016-05-05 | 2016-08-24 | 清华大学 | Device and method for machine visual analysis based on naked-eye stereoscopic display |
| CN107155104A (en) * | 2017-06-23 | 2017-09-12 | 深圳超多维科技有限公司 | A kind of display bearing calibration of bore hole stereoscopic display equipment and device |
| CN108063940A (en) * | 2017-12-25 | 2018-05-22 | 上海玮舟微电子科技有限公司 | A kind of correction system and method for tracing of human eye bore hole 3D display system |
| CN108111838A (en) * | 2017-12-25 | 2018-06-01 | 上海玮舟微电子科技有限公司 | A kind of bore hole 3D display correcting fixture and bearing calibration |
| CN108269232A (en) * | 2018-02-24 | 2018-07-10 | 夏云飞 | A kind of method for transformation of bore hole 3D pictures and the conversion method of bore hole 3D panoramic pictures |
-
2018
- 2018-11-27 CN CN201811424925.3A patent/CN109246417A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105898287A (en) * | 2016-05-05 | 2016-08-24 | 清华大学 | Device and method for machine visual analysis based on naked-eye stereoscopic display |
| CN107155104A (en) * | 2017-06-23 | 2017-09-12 | 深圳超多维科技有限公司 | A kind of display bearing calibration of bore hole stereoscopic display equipment and device |
| CN108063940A (en) * | 2017-12-25 | 2018-05-22 | 上海玮舟微电子科技有限公司 | A kind of correction system and method for tracing of human eye bore hole 3D display system |
| CN108111838A (en) * | 2017-12-25 | 2018-06-01 | 上海玮舟微电子科技有限公司 | A kind of bore hole 3D display correcting fixture and bearing calibration |
| CN108269232A (en) * | 2018-02-24 | 2018-07-10 | 夏云飞 | A kind of method for transformation of bore hole 3D pictures and the conversion method of bore hole 3D panoramic pictures |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109605927A (en) * | 2019-02-02 | 2019-04-12 | 太阳机械股份有限公司 | A kind of Large-scale satellite formula 3D print system and its working method |
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Application publication date: 20190118 |