CN107314882B - The wind vibration response acquisition methods of membrane structure air spring pole based on technique of binocular stereoscopic vision - Google Patents

The wind vibration response acquisition methods of membrane structure air spring pole based on technique of binocular stereoscopic vision Download PDF

Info

Publication number
CN107314882B
CN107314882B CN201710536221.4A CN201710536221A CN107314882B CN 107314882 B CN107314882 B CN 107314882B CN 201710536221 A CN201710536221 A CN 201710536221A CN 107314882 B CN107314882 B CN 107314882B
Authority
CN
China
Prior art keywords
identification point
center pixel
photograph
response surface
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.)
Active
Application number
CN201710536221.4A
Other languages
Chinese (zh)
Other versions
CN107314882A (en
Inventor
吴杭姿
孙晓颖
武岳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Harbin Institute of Technology
Original Assignee
Harbin Institute of Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Harbin Institute of Technology filed Critical Harbin Institute of Technology
Priority to CN201710536221.4A priority Critical patent/CN107314882B/en
Publication of CN107314882A publication Critical patent/CN107314882A/en
Application granted granted Critical
Publication of CN107314882B publication Critical patent/CN107314882B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M9/00Aerodynamic testing; Arrangements in or on wind tunnels

Landscapes

  • Physics & Mathematics (AREA)
  • Fluid Mechanics (AREA)
  • General Physics & Mathematics (AREA)
  • Aerodynamic Tests, Hydrodynamic Tests, Wind Tunnels, And Water Tanks (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The wind vibration response acquisition methods of membrane structure air spring pole based on technique of binocular stereoscopic vision, belong to membrane structure air spring pole wind tunnel test field, solves the problems, such as the computationally intensive of the wind vibration response acquisition methods of the existing membrane structure air spring pole based on technique of binocular stereoscopic vision.The described method includes: N is arranged on the response surface to the membrane structure air spring pole of wind tunnel test1The step of a circular ring shape identification point, places the step of the step of left and right camera, the left and right camera of calibration inside and outside parameter, while carrying out wind tunnel test to membrane structure air spring pole, the step of the step of obtaining response surface photograph using camera, according to response face photograph obtain the step of identification point center pixel coordinate, according to the inside and outside parameter of identification point center pixel coordinate and camera, and mathematical model based on technique of binocular stereoscopic vision solves the three-D displacement response for obtaining identification point and the step of obtaining the dynamic respond of response surface, is responded according to the three-D displacement of identification point.

Description

The wind vibration response of membrane structure air spring pole based on technique of binocular stereoscopic vision obtains Method
Technical field
The present invention relates to a kind of wind vibration response acquisition methods of membrane structure air spring pole, belong to membrane structure air spring pole wind-tunnel Test field.
Background technique
In the wind tunnel test of membrane structure air spring pole, the wind vibration response to membrane structure air spring pole is needed to measure. The wind vibration response measurement method of existing membrane structure air spring pole is divided into contact measurement method and contactless measurement.
Contact measurement method is typically employed in the side that acceleration transducer is arranged on the response surface of membrane structure air spring pole Formula measures the displacement of response surface.But even if ignore the small weight of acceleration transducer, during measurement, still It needs that acceleration transducer is connected with charge amplifier by conducting wire.Therefore, the accuracy of the measurement result of this method is poor.
Contactless measurement generallys use laser displacement gauge to measure the displacement of response surface.With contact measurement method It compares, this method is because laser displacement gauge is without accuracy with higher due to directly contact with membrane structure air spring pole.However, should Method is also and non-perfect.During using this method measurement response surface displacement, in order to avoid laser displacement gauge and its fixation The interference of frame stream field is needed to be designed the riding position of laser displacement gauge, such as is placed in the cavity of wind-tunnel.Except this Except, a laser displacement gauge can only measure the displacement time-histories an of identification point, when the identification point being arranged on response surface is more When, need more laser displacement gauges.This is not consistent with the development trend that existing membrane structure form complicates.For this purpose, there is scholar will Technique of binocular stereoscopic vision is introduced into the wind vibration response measurement of membrane structure air spring pole.However, existing be based on binocular solid The wind vibration response acquisition methods of the membrane structure air spring pole of vision technique using speckle as identification point, the later period to photograph at Reason needs block-by-block to scan for when obtaining three-D displacement, computationally intensive.
Summary of the invention
The present invention obtains to solve the wind vibration response of the existing membrane structure air spring pole based on technique of binocular stereoscopic vision The computationally intensive problem for taking method, the wind shake for proposing a kind of membrane structure air spring pole based on technique of binocular stereoscopic vision are rung Answer acquisition methods.
The wind vibration response acquisition methods packet of membrane structure air spring pole of the present invention based on technique of binocular stereoscopic vision It includes:
Step 1: N is arranged on the response surface to the membrane structure air spring pole of wind tunnel test1A identification point, identification point are Circular ring shape;
Step 2: placing camera, the camera includes left camera and right camera;
Step 3: the inside and outside parameter of calibration for cameras;
Step 4: obtaining response surface photograph using camera while carrying out wind tunnel test to membrane structure air spring pole;
Step 5: face photograph obtains the center pixel coordinate of identification point according to response;
Step 6: according to the inside and outside parameter of the center pixel coordinate of identification point and camera, and it is based on binocular stereo vision skill The mathematical model of art solves the three-D displacement response for obtaining identification point;
Step 7: being responded to obtain the dynamic respond of response surface, the dynamic respond of response surface according to the three-D displacement of identification point For the wind vibration response of membrane structure air spring pole.
As preferably, the particular content of step 4 are as follows: while using left and right camera with scheduled frequency to the sound It answers face to take pictures, and obtains N respectively2Open response surface left view photograph and N2Open the right view photograph of response surface.
As preferably, the particular content of step 5 are as follows: obtain N respectively2Open response surface left view photograph and N2Open response surface N in right view photograph1The center pixel coordinate of a identification point, and to N2Open response surface left view photograph and N2Open the right view phase of response surface The center pixel coordinate of same identification point in piece carries out matching correspondence, wherein obtains the N in a response surface photograph1A mark The center pixel for knowing point sits calibration method and includes:
Step 1 carries out image binaryzation processing to the response surface photograph using OTSU algorithm, obtains N1The mould of a identification point Paste pixel;
Step 2, using the sub-pixel edge detection method based on Zernike square to N1The fuzzy pixel of a identification point carries out side Edge identification, obtains N1The contour pixel of a identification point;
Step 3, using eight neighborhood edge following algorithm to N1The contour pixel of a identification point is tracked, and 2N is obtained1A side Edge pixel point set;
Step 4, using least square method to two edge pixel point sets of the contour pixel for belonging to an identification point into Row fitting obtains first oval and the second ellipse;
Step 5, oval based on first and second is oval, and rejects the orphan that described two edge pixel points are concentrated using 3 σ methods Vertical wheel exterior feature pixel;
Whether there is isolated wire-frame image vegetarian refreshments to be removed in step 6, judgment step 5, when the judgment result is yes, executes step 7, otherwise, sat the intermediate value of the first elliptical centre coordinate and the second elliptical centre coordinate as the center pixel of the identification point Mark;
Step 7, using least square method to two new edge pixel point sets of the contour pixel for belonging to the identification point into Row fitting obtains third ellipse and the 4th ellipse, and will be in the elliptical centre coordinate of third and the 4th elliptical centre coordinate It is worth the center pixel coordinate as the identification point;
Step 8, according to method described in step 4 to step 7, obtain N1The center pixel coordinate of a identification point.
As preferably, step 5 is using the arrangement matching process based on benchmark photograph to N2Open response surface left view photograph And N2It opens the right center pixel coordinate depending on the same identification point in photograph of response surface and carries out matching correspondence, wherein be based on benchmark phase The arrangement matching process of piece includes:
Step A, by the N of benchmark photograph1The center pixel coordinate of a identification point is descending according to abscissa or ordinate Sequence be arranged as the first center pixel coordinate to N1Center pixel coordinate, the benchmark photograph are the film knot under stationary state The response surface left view photograph of structure air spring pole or right view photograph;
Step B, successively judge the N of a response surface photograph1The corresponding benchmark of the center pixel coordinate of a identification point First center pixel coordinate of photograph is to N1The distance of center pixel coordinate, and according to the corresponding two middle imagos that match each other The smallest principle of the distance of plain coordinate is by the N of this response surface photograph1The center pixel coordinate of a identification point and the N of benchmark photograph1 The center pixel coordinate of a identification point carries out matching correspondence;
Step C, according to method described in step B, N is completed2Open the N of response surface left view photograph1The center pixel of a identification point The matching correspondence and N of coordinate2Open the N of the right view photograph of response surface1The matching of the center pixel coordinate of a identification point is corresponding;
Step D, by way of given adjustment vector, N is realized2Open response surface left view photograph and N2Open the right view phase of response surface N in piece1The matching of the center pixel coordinate of a identification point is corresponding.
As preferably, step 6 includes:
Step a, the N of completion has been matched according to each identification point2Center pixel coordinate and N in a left camera viewings2A right side The inside and outside parameter of center pixel coordinate and camera in camera viewings, and the mathematical model based on technique of binocular stereoscopic vision is asked Solve N of each identification point under world coordinate system2A center pixel three-dimensional coordinate;
Response surface of the XOY plane of the world coordinate system under stationary state;
Step b, by the N of each identification point2It is poor that a center pixel three-dimensional coordinate and reference three-dimensional coordinate are made, and obtains each mark Know the N of point2The three-D displacement of a center pixel, and then obtain the three-D displacement time-histories of each identification point.
As preferably, step 7 is based on N1The three-D displacement time-histories of a identification point, and differential technique is used, it is responded The dynamic respond in face.
The wind vibration response acquisition methods of membrane structure air spring pole of the present invention based on technique of binocular stereoscopic vision, are adopted It is scanned for without block-by-block, is only needed when being carried out processing acquisition three-D displacement to response surface photograph in the later period with circular ring shape identification point Point search is carried out, calculation amount is small.
Detailed description of the invention
It will hereinafter come based on the embodiments and with reference to the accompanying drawings to of the present invention based on technique of binocular stereoscopic vision The wind vibration response acquisition methods of membrane structure air spring pole are described in more detail, in which:
Fig. 1 is the wind vibration response acquisition side of the membrane structure air spring pole described in embodiment based on technique of binocular stereoscopic vision The flow chart of method;
Fig. 2 is that N in response surface photograph is opened in the acquisition one that embodiment refers to1The center pixel of a identification point sits calibration method Flow chart;
Fig. 3 is the flow chart for the arrangement matching process based on benchmark photograph that embodiment refers to.
Specific embodiment
Below in conjunction with attached drawing to the wind of the membrane structure air spring pole of the present invention based on technique of binocular stereoscopic vision Vibration response acquisition methods are described further.
Embodiment: the present embodiment is explained in detail below with reference to Fig. 1 to Fig. 3.
The wind vibration response acquisition methods of membrane structure air spring pole described in the present embodiment based on technique of binocular stereoscopic vision Include:
Step 1: N is arranged on the response surface to the membrane structure air spring pole of wind tunnel test1A identification point, identification point are Circular ring shape;
Step 2: placing camera, the camera includes left camera and right camera;
Step 3: the inside and outside parameter of calibration for cameras;
Step 4: obtaining response surface photograph using camera while carrying out wind tunnel test to membrane structure air spring pole;
Step 5: face photograph obtains the center pixel coordinate of identification point according to response;
Step 6: according to the inside and outside parameter of the center pixel coordinate of identification point and camera, and it is based on binocular stereo vision skill The mathematical model of art solves the three-D displacement response for obtaining identification point;
Step 7: being responded to obtain the dynamic respond of response surface, the dynamic respond of response surface according to the three-D displacement of identification point For the wind vibration response of membrane structure air spring pole.
The particular content of step 4 are as follows: while left and right camera being used to take pictures with scheduled frequency to the response surface, And N is obtained respectively2Open response surface left view photograph and N2Open the right view photograph of response surface.
The particular content of step 5 are as follows: obtain N respectively2Open response surface left view photograph and N2It opens in the right view photograph of response surface N1The center pixel coordinate of a identification point, and to N2Open response surface left view photograph and N2Open the same mark in the right view photograph of response surface The center pixel coordinate for knowing point carries out matching correspondence, wherein obtains the N in a response surface photograph1The middle imago of a identification point Element sits calibration method
Step 1 carries out image binaryzation processing to the response surface photograph using OTSU algorithm, obtains N1The mould of a identification point Paste pixel;
Step 2, using the sub-pixel edge detection method based on Zernike square to N1The fuzzy pixel of a identification point carries out side Edge identification, obtains N1The contour pixel of a identification point;
Step 3, using eight neighborhood edge following algorithm to N1The contour pixel of a identification point is tracked, and 2N is obtained1A side Edge pixel point set;
Step 4, using least square method to two edge pixel point sets of the contour pixel for belonging to an identification point into Row fitting obtains first oval and the second ellipse;
Step 5, oval based on first and second is oval, and rejects the orphan that described two edge pixel points are concentrated using 3 σ methods Vertical wheel exterior feature pixel;
Whether there is isolated wire-frame image vegetarian refreshments to be removed in step 6, judgment step 5, when the judgment result is yes, executes step 7, otherwise, sat the intermediate value of the first elliptical centre coordinate and the second elliptical centre coordinate as the center pixel of the identification point Mark;
Step 7, using least square method to two new edge pixel point sets of the contour pixel for belonging to the identification point into Row fitting obtains third ellipse and the 4th ellipse, and will be in the elliptical centre coordinate of third and the 4th elliptical centre coordinate It is worth the center pixel coordinate as the identification point;
Step 8, according to method described in step 4 to step 7, obtain N1The center pixel coordinate of a identification point.
Step 5 is using the arrangement matching process based on benchmark photograph to N2Open response surface left view photograph and N2It is right to open response surface Center pixel coordinate depending on the same identification point in photograph carries out matching correspondence, wherein the arrangement match party based on benchmark photograph Method includes:
Step A, by the N of benchmark photograph1The center pixel coordinate of a identification point is descending according to abscissa or ordinate Sequence be arranged as the first center pixel coordinate to N1Center pixel coordinate, the benchmark photograph are the film knot under stationary state The response surface left view photograph of structure air spring pole or right view photograph;
Step B, successively judge the N of a response surface photograph1The corresponding benchmark of the center pixel coordinate of a identification point First center pixel coordinate of photograph is to N1The distance of center pixel coordinate, and according to the corresponding two middle imagos that match each other The smallest principle of the distance of plain coordinate is by the N of this response surface photograph1The center pixel coordinate of a identification point and the N of benchmark photograph1 The center pixel coordinate of a identification point carries out matching correspondence;
Step C, according to method described in step B, N is completed2Open the N of response surface left view photograph1The center pixel of a identification point The matching correspondence and N of coordinate2Open the N of the right view photograph of response surface1The matching of the center pixel coordinate of a identification point is corresponding;
Step D, by way of given adjustment vector, N is realized2Open response surface left view photograph and N2Open the right view phase of response surface N in piece1The matching of the center pixel coordinate of a identification point is corresponding.
Step 6 includes:
Step a, the N of completion has been matched according to each identification point2Center pixel coordinate and N in a left camera viewings2A right side The inside and outside parameter of center pixel coordinate and camera in camera viewings, and the mathematical model based on technique of binocular stereoscopic vision is asked Solve N of each identification point under world coordinate system2A center pixel three-dimensional coordinate;
Response surface of the XOY plane of the world coordinate system under stationary state;
Step b, by the N of each identification point2It is poor that a center pixel three-dimensional coordinate and reference three-dimensional coordinate are made, and obtains each mark Know the N of point2The three-D displacement of a center pixel, and then obtain the three-D displacement time-histories of each identification point.
Step 7 is based on N1The three-D displacement time-histories of a identification point, and differential technique is used, obtain the dynamic respond of response surface.
The wind vibration response acquisition methods of membrane structure air spring pole described in the present embodiment based on technique of binocular stereoscopic vision Also have the advantages that
1, existing image binaryzation method is usually manually set gray threshold, and the OTSU algorithm root that the present embodiment uses Automatically determine gray threshold according to real image, OTSU algorithm be a kind of pair of image being proposed by Japanese scholars OTSU in 1979 into The highly effective algorithm of row binaryzation can preferably come prospect and background separation, and entire calculated result is stablized, and effect is good.
2, the present embodiment is using the sub-pixel edge detection method based on Zernike square to the fuzzy pixel of circular ring shape identification point Limb recognition is carried out, accuracy of identification reaches sub-pixel, and noise resisting ability is strong, the very noisy occasion suitable for wind tunnel test.
3, the present embodiment tracks the contour pixel of multiple identification points using eight neighborhood edge following algorithm, and then right The central feature of multiple identification points in individual response surface photograph is continuously and quickly scanned.This recognition mode can The Position Approximate for first determining identification point is avoided, then carries out the recognition mode of the single identification point of single of target identification, computational efficiency It is high.
4, the present embodiment is during being fitted the edge pixel point set of contour pixel using least square method, fortune The isolated point that edge pixel point concentration is rejected with 3 σ rules, further improves the fitting precision of elliptical center.
5, the present embodiment is using the arrangement matching process based on benchmark photograph to the same mark in multiple response surface photographs Know point to be matched.The mode of this arrangement matching process tracking and positioning identification point is intuitively quick, substantially increases computational efficiency, Every response surface photograph only needs to calculate once, and does not have to have several identification points, every response surface photograph as other matching process With regard to it is to be processed several times.
Although describing the present invention herein with reference to specific embodiment, it should be understood that, these realities Applying example only is the example of principles and applications.It should therefore be understood that can be permitted exemplary embodiment More modifications, and can be designed that other arrangements, without departing from spirit of the invention as defined in the appended claims and Range.It should be understood that different appurtenances can be combined by being different from mode described in original claim It is required that and feature described herein.It will also be appreciated that the feature in conjunction with described in separate embodiments can be used at it In his embodiment.

Claims (4)

1. the wind vibration response acquisition methods of the membrane structure air spring pole based on technique of binocular stereoscopic vision, the acquisition methods packet It includes:
Step 1: N is arranged on the response surface to the membrane structure air spring pole of wind tunnel test1A identification point, identification point are annulus Shape;
Step 2: placing camera, the camera includes left camera and right camera;
Step 3: the inside and outside parameter of calibration for cameras;
Step 4: obtaining response surface photograph using camera while carrying out wind tunnel test to membrane structure air spring pole;
Step 5: face photograph obtains the center pixel coordinate of identification point according to response;
Step 6: according to the inside and outside parameter of the center pixel coordinate of identification point and camera, and based on technique of binocular stereoscopic vision Mathematical model solves the three-D displacement response for obtaining identification point;
Step 7: being responded to obtain the dynamic respond of response surface according to the three-D displacement of identification point, the dynamic respond of response surface is film The wind vibration response of structure air spring pole;
The particular content of step 4 are as follows: while left and right camera being used to take pictures with scheduled frequency to the response surface, and point It Huo get not N2Open response surface left view photograph and N2Open the right view photograph of response surface;
It is characterized in that, the particular content of step 5 are as follows: obtain N respectively2Open response surface left view photograph and N2Open the right view phase of response surface N in piece1The center pixel coordinate of a identification point, and to N2Open response surface left view photograph and N2It opens in the right view photograph of response surface The center pixel coordinate of same identification point carries out matching correspondence, wherein obtains the N in a response surface photograph1A identification point Center pixel sits calibration method
Step 1 carries out image binaryzation processing to the response surface photograph using OTSU algorithm, obtains N1The vague image of a identification point Element;
Step 2, using the sub-pixel edge detection method based on Zernike square to N1The fuzzy pixel of a identification point carries out edge knowledge Not, N is obtained1The contour pixel of a identification point;
Step 3, using eight neighborhood edge following algorithm to N1The contour pixel of a identification point is tracked, and 2N is obtained1A edge picture Vegetarian refreshments collection;
Step 4 is intended using two edge pixel point sets of the least square method to the contour pixel for belonging to an identification point It closes, obtains first oval and the second ellipse;
Step 5, oval based on first and second is oval, and rejects the isolated wheel that described two edge pixel points are concentrated using 3 σ methods Wide pixel;
Whether there is isolated wire-frame image vegetarian refreshments to be removed in step 6, judgment step 5, when the judgment result is yes, executes step 7, it is no Then, using the intermediate value of the first elliptical centre coordinate and the second elliptical centre coordinate as the center pixel coordinate of the identification point;
Step 7 is intended using two new edge pixel point sets of the least square method to the contour pixel for belonging to the identification point It closes, obtains third ellipse and the 4th ellipse, and the intermediate value of the elliptical centre coordinate of third and the 4th elliptical centre coordinate is made For the center pixel coordinate of the identification point;
Step 8, according to method described in step 4 to step 7, obtain N1The center pixel coordinate of a identification point.
2. the wind vibration response acquisition side of the membrane structure air spring pole based on technique of binocular stereoscopic vision as described in claim 1 Method, which is characterized in that step 5 is using the arrangement matching process based on benchmark photograph to N2Open response surface left view photograph and N2Zhang Xiang It answers face right and carries out matching correspondence depending on the center pixel coordinate of the same identification point in photograph, wherein the arrangement based on benchmark photograph Matching process includes:
Step A, by the N of benchmark photograph1The center pixel coordinate of a identification point sequence descending according to abscissa or ordinate The first center pixel coordinate is arranged as to N1Center pixel coordinate, the benchmark photograph are the membrane structure gas bullet under stationary state The response surface left view photograph of model or right view photograph;
Step B, successively judge the N of a response surface photograph1The corresponding benchmark photograph of the center pixel coordinate of a identification point First center pixel coordinate is to N1The distance of center pixel coordinate, and according to the corresponding two center pixel coordinates that match each other The smallest principle of distance by the N of this response surface photograph1The center pixel coordinate of a identification point and the N of benchmark photograph1A mark The center pixel coordinate of point carries out matching correspondence;
Step C, according to method described in step B, N is completed2Open the N of response surface left view photograph1The center pixel coordinate of a identification point Matching is corresponding and N2Open the N of the right view photograph of response surface1The matching of the center pixel coordinate of a identification point is corresponding;
Step D, by way of given adjustment vector, N is realized2Open response surface left view photograph and N2It opens in the right view photograph of response surface N1The matching of the center pixel coordinate of a identification point is corresponding.
3. the wind vibration response acquisition side of the membrane structure air spring pole based on technique of binocular stereoscopic vision as claimed in claim 2 Method, which is characterized in that step 6 includes:
Step a, the N of completion has been matched according to each identification point2Center pixel coordinate and N in a left camera viewings2A right camera The inside and outside parameter of center pixel coordinate and camera in photograph, and the mathematical model based on technique of binocular stereoscopic vision solves often N of a identification point under world coordinate system2A center pixel three-dimensional coordinate;
Response surface of the XOY plane of the world coordinate system under stationary state;
Step b, by the N of each identification point2It is poor that a center pixel three-dimensional coordinate and reference three-dimensional coordinate are made, and obtains each identification point N2The three-D displacement of a center pixel, and then obtain the three-D displacement time-histories of each identification point.
4. the wind vibration response acquisition side of the membrane structure air spring pole based on technique of binocular stereoscopic vision as claimed in claim 3 Method, which is characterized in that step 7 is based on N1The three-D displacement time-histories of a identification point, and differential technique is used, obtain the position of response surface Move response.
CN201710536221.4A 2017-07-03 2017-07-03 The wind vibration response acquisition methods of membrane structure air spring pole based on technique of binocular stereoscopic vision Active CN107314882B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710536221.4A CN107314882B (en) 2017-07-03 2017-07-03 The wind vibration response acquisition methods of membrane structure air spring pole based on technique of binocular stereoscopic vision

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710536221.4A CN107314882B (en) 2017-07-03 2017-07-03 The wind vibration response acquisition methods of membrane structure air spring pole based on technique of binocular stereoscopic vision

Publications (2)

Publication Number Publication Date
CN107314882A CN107314882A (en) 2017-11-03
CN107314882B true CN107314882B (en) 2019-02-22

Family

ID=60180705

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710536221.4A Active CN107314882B (en) 2017-07-03 2017-07-03 The wind vibration response acquisition methods of membrane structure air spring pole based on technique of binocular stereoscopic vision

Country Status (1)

Country Link
CN (1) CN107314882B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109100112B (en) * 2018-09-29 2020-01-17 浙江大学 Plane wind vibration response testing method for aeroelastic model wind tunnel test based on computer vision
CN109612569B (en) * 2018-12-29 2021-04-09 中国计量科学研究院 Long-stroke vibration table guide rail bending correction method for low-frequency vibration calibration by laser interferometry
CN112067233B (en) * 2020-09-02 2022-08-12 中国航天空气动力技术研究院 Six-degree-of-freedom motion capture method for wind tunnel model

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100575872C (en) * 2007-03-20 2009-12-30 中国空气动力研究与发展中心高速空气动力研究所 Wind tunnel model profile monitoring method based on stereoscopic vision
CN101699237A (en) * 2009-11-20 2010-04-28 中国航空工业空气动力研究院 Three-dimensional model attitude angle video measuring system for wind tunnel model test
CN102680201B (en) * 2012-05-15 2014-09-24 空气动力学国家重点实验室 Buffeting wind tunnel testing method based on video measurement
CN103323209B (en) * 2013-07-02 2016-04-06 清华大学 Based on the structural modal parameter identification system of binocular stereo vision
KR101479968B1 (en) * 2013-08-26 2015-01-08 연세대학교 산학협력단 Method and system for measuring dynamic load in wind tunnel based on image processing
CN104406594B (en) * 2014-12-09 2017-06-06 上海新跃仪表厂 The Measurement Algorithm of spacecrafts rendezvous spacecraft relative pose

Also Published As

Publication number Publication date
CN107314882A (en) 2017-11-03

Similar Documents

Publication Publication Date Title
CN106949936B (en) Utilize the method for binocular vision displacement monitoring network analysis Transmission Tower mode
CN107314882B (en) The wind vibration response acquisition methods of membrane structure air spring pole based on technique of binocular stereoscopic vision
CN107273846B (en) Human body shape parameter determination method and device
KR101618814B1 (en) Method and Apparatus for Monitoring Video for Estimating Gradient of Single Object
CN103323209B (en) Based on the structural modal parameter identification system of binocular stereo vision
CN109460740A (en) The watercraft identification recognition methods merged based on AIS with video data
CN105956539A (en) Method for height measurement of human body based on background modeling and binocular vision
JP6858415B2 (en) Sea level measurement system, sea level measurement method and sea level measurement program
CN105716539A (en) Rapid high-precision 3D shape measuring method
CN107928675A (en) A kind of trunk measuring method being combined based on deep learning and red dot laser
CN105740781A (en) Three-dimensional human face in-vivo detection method and device
CN108491810A (en) Vehicle limit for height method and system based on background modeling and binocular vision
CN109597086A (en) A kind of motion measuring method of the outer hanging object of contactless helicopter
CN109977827B (en) Multi-person three-dimensional attitude estimation method using multi-view matching method
CN111012353A (en) Height detection method based on face key point recognition
CN107610086A (en) Industrial parallel robot rapid visual detection algorithm based on bionic compound eye structure
CN113393439A (en) Forging defect detection method based on deep learning
CN106033614A (en) Moving object detection method of mobile camera under high parallax
CN109241822A (en) A kind of multi-faceted method for detecting human face and system based on MTCNN
CN107121250B (en) A kind of power transmission tower and power transmission line mode Analysis of Internal Resonance system and method
CN115035546B (en) Three-dimensional human body posture detection method and device and electronic equipment
CN107146223A (en) A kind of analysis system and method for power transmission tower and power transmission line displacement coupling
CN107865473B (en) Characteristics of human body's range unit and its distance measuring method
CN113340405B (en) Bridge vibration mode measuring method, device and system
CN109344758A (en) Based on the face identification method for improving local binary patterns

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
GR01 Patent grant
GR01 Patent grant