CN203747902U - Shooting type multi-target positioning device based on image correction - Google Patents

Shooting type multi-target positioning device based on image correction Download PDF

Info

Publication number
CN203747902U
CN203747902U CN201420098252.8U CN201420098252U CN203747902U CN 203747902 U CN203747902 U CN 203747902U CN 201420098252 U CN201420098252 U CN 201420098252U CN 203747902 U CN203747902 U CN 203747902U
Authority
CN
China
Prior art keywords
angle
camera
screen
infrared
image
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.)
Expired - Lifetime
Application number
CN201420098252.8U
Other languages
Chinese (zh)
Inventor
孙晓颖
吴赛文
王庆龙
周春雨
董杨瑞
王婷婷
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.)
Jilin University
Original Assignee
Jilin University
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 Jilin University filed Critical Jilin University
Priority to CN201420098252.8U priority Critical patent/CN203747902U/en
Application granted granted Critical
Publication of CN203747902U publication Critical patent/CN203747902U/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Landscapes

  • Studio Devices (AREA)

Abstract

The utility model relates to a shooting type multi-target positioning device based on image correction, belonging to the multi-target positioning device. The positioning device comprises a positioning platform, a control circuit board and a main controller. According to the utility model, the information of targets on a screen surface is obtained by cameras; the positions of primary optic axes of the cameras are determined according to initial imaging positions of the cameras; imaging positions of the targets in the cameras are extracted; the imaging positions are corrected by using an equivalent surface based distortion correction method; and by grouping the cameras, multi-target location is achieved through an optical intersection measurement location algorithm. The positioning device has the advantages of simple structure, high reliability, simple calibrated correction of lens distortion, easy expansion, and high positioning accuracy.

Description

A kind of camera shooting type multiple target positioner based on image rectification
Technical field
The utility model relates to a kind of multiple target positioner and method, is specifically related to a kind ofly realize the system and method for multiple target location with camera optics imaging and the optics positioning principle that crosses.
Background technology
Vision location technology is based on Modern Optics Technology, in the mode of camera acquisition image, by the analysis to view data, use digital image processing techniques, from view data, extract the positional information of object, in conjunction with related algorithm, an integrated technology of the coordinate setting of realize target thing.Vision location technology is applied to touch-screen, especially large-screen touch-screen, the touch technology that in the past depended on hardware material and facility is converted into the touch technology taking emerging digital image processing techniques as core, use software engineering to solve the deficiency of hardware material and facility, possess simple in structure, cheap, accurate positioning is sensitive, and the advantage such as autgmentability is strong.
The existing navigation system based on vision, based on the location technology of two-way video camera, can meet accurate location and the tracking of single goal, but will have the occlusion issue between target in the time there is multiple target, causes location inaccurate.Based on the location technology of multichannel video camera, complex structure, and use the method for hardware demarcation to carry out the distortion correction of video camera wide-angle lens, and complex operation, the portability of system is poor.
Chinese patent application CN200910193302.4 has disclosed a kind of camera type touch screen detection and location method and camera type touch detection system, by three cameras, the specific touch objects in the multiple preset coordinates on screen is taken, utilize the image deformation computational methods of optical lens to calculate the corresponding image distortion correction parameter of camera head described in each, according to the image of the described image distortion correction parameter correction of correspondence touch objects to be positioned.According to the actual coordinate of object to be positioned described in the touch objects image calculation to be positioned after proofreading and correct.The method can reduce the touch bringing due to lens distortion and detect error, but calculation of complex, and need to demarcate, solve image distortion correction parameter and also need to separate uncertain equation, can only ask approximate solution, be that the precision of distortion correction reduces.
Chinese patent CN200810031300.0 discloses a kind of surface computing platform and multi-contact detection method of four-way CCD camera collaborative work, surface computing platform is made up of four circuit boards, four cameras, multiple infrared diodes, circuit board is connected into a rectangle, camera divides on four angles that are put in rectangle, infrared diode is welded on circuit board, and infrared diode center or equally spaced n point is as calibration point.Multi-contact detection method is the world coordinates collection that first obtains respectively camera and calibration point, and camera is demarcated and obtained the image coordinate collection of calibration point in each camera, to contact, the coordinate in each image detects again, obtain the image coordinate of contact, then determine the calibration point coordinate dwi corresponding to image coordinate of contact, and linear equation group between definite dwi and each camera world coordinates, determine contact position according to linear equation group.The density that the precision of this system need to be welded on the infrared diode on circuit board determines, needs a large amount of infrared diodes, and needs n equally spaced calibration point, comparatively complicated, portable poor.
Summary of the invention
The utility model provides a kind of camera shooting type multi-target orientation method and device based on image rectification, solving current positioning system structure complexity based on vision, the aspect problem such as portability is poor, robustness is not strong.
The technical scheme that the utility model is taked is: a kind of camera shooting type multiple target positioner based on image rectification comprises:
Locating platform, comprise four thermal cameras and four infrared diodes, be installed on respectively four drift angles of screen, carry out the image information collecting of object, enclose the optics reflecting strips of pasting screen frame, the Infrared of infrared diode transmitting is reflected back to imaging in thermal camera;
Control circuit board is controlled transmission circuit by IMAQ control circuit, USB and is formed, and IMAQ control circuit control locating platform front-end circuit gathers image, and USB controls transmission circuit realization and communicates by letter with the USB interface of master controller;
Master controller is embedded system, comprises embedded hardware, embedded OS and application program.It is navigation system control and data operation basis that embedded hardware and operating system are responsible for, and application program realizes image and processes and target localization algorithm.
Locating platform described in the utility model comprises: four drift angle place installation infrared video cameras of screen and infrared diode, install according to the sequence from low to uper part of screen, infrared diode, thermal camera, and ensure that screen plane, infrared diode optical plane and thermal camera primary optical axis are parallel to each other; Screen surrounding frame is pasted optics reflecting strips, will be reflected back imaging in the thermal camera at this angle by the former road of Infrared of certain angle infrared diode transmitting; Thermal camera visual angle is greater than 90 degree, is less than 120 degree, and the photocentre of video camera is positioned on the angular bisector at each angle, and the wide and height of screen not etc., is not guaranteed at least imaging in a video camera of each object.
Control circuit board described in the utility model completes the configuration to thermal camera, and thermal camera only gathers specific a few row view data in infrared light reflection region, and sends view data to main controller by usb data form and process.
The utlity model has following advantage:
1, simple in structure, with low cost, native system does not need the hardware material of specific costliness, without screen is transformed, directly in four corners of screen, four microcams and infrared diode is installed, and is enclosed and paste optics reflecting strips at screen surrounding frame.
2, reliability is strong, in the time that small shift in position occurs video camera, can revise by calculating its primary optical axis position, does not affect system accuracy.
3, precision is high, is easy to expansion, utilizes the method for correcting image based on image processing to proofread and correct the distortion of wide-angle lens, proofread and correct without carrying out complicated demarcation, simple and fast, and system is not subject to the restriction of screen-sized, only need simple some parameters that change, just can realize expansion.
4, can realize multiple target location, four video cameras are installed on four corners of screen, can ensure the imaging in different video cameras of multiple targets, cross to measure can realize the more location of a target by optics.
Brief description of the drawings
Fig. 1 is the entire block diagram of the camera shooting type multiple target positioner 100 based on image rectification that the utility model proposes;
Fig. 2 is according to locating platform 101 structure charts of the camera shooting type multiple target positioner based on image rectification of the present utility model;
Fig. 3 is the hardware configuration layout according to the utility model locating platform;
Fig. 4 is according to the theory diagram of control circuit board 102 of the present utility model;
Fig. 5 is the location of the multiple target based on vision master controller 103 theory diagrams that the utility model proposes;
Fig. 6 is for illustrating the schematic diagram of the image distortion correction method of the utility model based on distortion equivalent face;
Fig. 7 is the view data of the multiple target positioning acquisition of the utility model based on vision;
Fig. 8 is the multiple target localizing objects imaging angle calculation schematic diagram of the utility model based on vision;
Fig. 9 is the multiple target positioning shooting owner light shaft offset schematic diagram of the utility model based on vision;
Figure 10 is that the multiple target location algorithm of the utility model based on vision is to multiple target positioning principle figure;
Figure 11 is the overall flow figure of the multiple target based on the vision location that the utility model proposes;
Figure 12 is the image pretreatment process figure of the multiple target based on the vision location that the utility model proposes.
Embodiment
A kind of camera shooting type multiple target positioner based on image rectification comprises:
Locating platform, comprises four thermal cameras and four infrared diodes, is installed on respectively four drift angles of screen, carries out the image information collecting of object; Enclose the optics reflecting strips of pasting screen frame, the Infrared of infrared diode transmitting is reflected back to imaging in thermal camera;
Control circuit board is controlled transmission circuit by IMAQ control circuit, USB and is formed, and IMAQ control circuit control locating platform front-end circuit gathers image, and USB controls transmission circuit realization and communicates by letter with the USB interface of master controller;
Master controller is embedded system, comprises embedded hardware, embedded OS and application program.It is navigation system control and data operation basis that embedded hardware and operating system are responsible for, and application program realizes image and processes and target localization algorithm.
A kind of execution mode of the present utility model is: four drift angle place installation infrared video cameras of screen and infrared diode, install according to the sequence from low to uper part of screen, infrared diode, thermal camera, and ensure that screen plane, infrared diode optical plane and thermal camera primary optical axis are parallel to each other; Screen surrounding frame is pasted optics reflecting strips, will be reflected back imaging in the thermal camera at this angle by the former road of Infrared of certain angle infrared diode transmitting; Thermal camera visual angle is greater than 90 degree, is less than 120 degree, and the photocentre of video camera is positioned on the angular bisector at each angle, and the wide and height of screen not etc., is not guaranteed at least imaging in a video camera of each object.
A kind of execution mode of the present utility model is: control circuit board completes the configuration to thermal camera, thermal camera only gathers specific a few row view data in infrared light reflection region, and sends view data to main controller by usb data form and process.
A camera shooting type multi-target orientation method based on image rectification, is characterized in that comprising the following steps:
1) four thermal cameras that are installed on screen drift angle gather the image information of screen surface, and control circuit board passes to master controller by the view data collecting by the form of USB;
2) for a thermal camera, it is greater than the imaging region of 90 degree, owing to there is no reflecting strips reflects infrared light, is imaged as shadow region, gets its one end as imaging initiating terminal, from P 1position starts imaging, according to P 1to the distance d of picture centre O 1, utilize the distortion correction method based on distortion equivalent face to carry out distortion correction, obtain the distance after proofreading and correct then according to triangle geometric operation, obtain the angle angle θ of video camera primary optical axis and screen frame 1;
3) from view data, extract the image space of object in each thermal camera by background subtraction, mean filter method;
4) taking upper left corner camera lens photocentre as the origin of coordinates, set up coordinate system, and demarcate the photocentre physical coordinates of each video camera.According to clockwise direction from upper left corner video camera to lower left corner video camera number consecutively 1011-1,1011-2,1011-3,1011-4;
5) in the time having n object to exist, to thermal camera 1011-1, target imaging position a 1, a 2a nwith the distance of picture centre position O be L 1, L 2l n, utilize the distortion correction method based on distortion equivalent face to proofread and correct, obtain the distance after proofreading and correct then derive through how much, obtain the angle α of target and primary optical axis 1, α 2α n.The angle that can calculate target and frame according to the angle of video camera primary optical axis and screen frame is θ 1± α 1, θ 1± α 2θ 1± α n; In like manner, for thermal camera 1011-2, the angle that can calculate target and frame according to the angle of video camera primary optical axis and screen frame is θ 2± β 1, θ 2± β 2θ 2± β n; For thermal camera 1011-3, the angle that can calculate target and frame according to the angle of video camera primary optical axis and screen frame is θ 3± γ 1, θ 3± γ 2θ 3± γ n; For thermal camera 1011-4, the angle that can calculate target and frame according to the angle of video camera primary optical axis and screen frame is
6) Jiang Si road video camera is divided into two groups, upper side frame video camera 1011-1 and 1011-2 are group 1, and lower frame video camera 1011-3 and 1011-4 are for group 2, for multiple objects, first by group 1 interior two video cameras by the optics location algorithm that crosses, obtain point coordinates collection P to be positioned i(x i, y i) (i=1,2,3...), then by group 2 interior two video cameras by the optics location algorithm that crosses, obtain point coordinates collection Q to be positioned j(x j, y j) (j=1,2,3...), then find out P i(x i, y i) (i=1,2,3...) and Q j(x j, y j) coordinate points of repeating in (j=1,2,3...), be the coordinate O of target n(x n, y n) (n=1,2,3...).
A kind of execution mode of the present utility model is: for the computational methods of video camera primary optical axis position, and due to vibrations or environmental impact, camera lens generation minor shifts, when camera lens offsets downward, imaging original position is P 1', the angle that can obtain primary optical axis and upper side frame by calculating is θ 1'; When camera lens is upwards offset, imaging original position is P 1", the angle that can obtain primary optical axis and upper side frame by calculating is θ 1"; When system initialization, each video camera, all according to self imaging initiating terminal position, calculates self primary optical axis of thermal camera and the angle angle of screen frame, reduces position error.
A kind of execution mode of the present utility model is: thermal camera adopts wide-angle lens, visual angle is greater than 90 degree, be less than 120 degree, the image that video camera photographs can produce distortion, according to paper " a kind of image distortion correction based on image processing " (optical technology, 01 phase in 2005), utilize a kind of method for correcting image based on image processing to revise this distortion.
Utilize sphere as image processing, the distortion of image is equivalent to each point in plane and moves on on sphere along light separately, and on subject, 1 R(is in desirable plane P, apart from O point) just correspond to R' point (being positioned in equivalent Spherical Surface S), distance X after distortion 1also just become the distance X that R' point is ordered to O 2.
Derive according to how much:
λ=arctg(X 1/f)
X 2=2fsin(λ/2)
Obtain in conjunction with above-mentioned two formulas:
X 2 = 2 f sin [ arctg ( X 1 / f ) 2 ]
Wherein, the focal length that f is camera lens, X 1for the distance between ideal image point R and imaging center point O, X 2for the distance between distortion point R' and imaging center point O.
Through oppositely deriving:
X 1 = f · tg [ 2 arcsin X 2 2 f ]
Can realize the geometric correction to distortion picture point.
Below in conjunction with accompanying drawing, the utility model is further described:
Fig. 1 is the entire block diagram of the camera shooting type multiple target positioner 100 based on image rectification that the utility model proposes, and as shown in the figure, this system is made up of locating platform 101, control circuit board 102 and master controller 103; Locating platform 101 comprises miniature thermal camera 1011, infrared diode 1012, optics reflecting strips 1013, installation infrared video camera 1011-1,1011-2,1011-3 successively clockwise in four corners of screen, 1011-4 and infrared diode 1012-1,1012-2,1012-3,1012-4, screen surrounding frame encloses and pastes optics reflecting strips 1013; Control circuit board 102-1,102-2,102-3 and 102-4 are connected with thermal camera 10101-1,10101-2,10101-3 and 10101-4 respectively, are then connected with master controller by USB interface.
Fig. 2 is according to locating platform 101 structure charts of the camera shooting type multiple target positioner based on image rectification of the present utility model, thermal camera visual angle is greater than 90 degree, be less than 120 degree, the photocentre of each video camera is positioned on the angular bisector at each angle, the wide W of screen and high H not etc., do not guarantee at least imaging in a video camera of each object.
Fig. 3 is locating platform hardware configuration layout, installs, and ensure that screen plane, infrared diode optical plane and thermal camera primary optical axis are parallel to each other according to the sequence from low to uper part of screen, infrared diode 1012, thermal camera 1011; Screen surrounding frame encloses and pastes optics reflecting strips 1013, the former road of Infrared of each angle infrared diode transmitting can be reflected back to imaging in this angle thermal camera.
Fig. 4 is according to the theory diagram of control circuit board 102 of the present utility model, control circuit board comprises the Micro-processor MCV for carrying out core operation, receive camera acquisition image data interface, with the mutual USB interface of master controller, control the switch interface of infrarede emitting diode, and the I2C bus of configuration thermal camera, comprise in addition power supply, oscillator, memory, DLL (dynamic link library) etc.
Fig. 5 is the location of the multiple target based on vision master controller 103 theory diagrams that the utility model proposes, master controller is embedded system, comprise the embedded hardware equipment that possesses USB interface, be responsible for the embedded OS of navigation system control and data operation, and realize the application program of image processing and target localization algorithm.
Fig. 6 is for illustrating the schematic diagram of the image distortion correction method of the utility model based on distortion equivalent face; Thermal camera adopts wide-angle lens, visual angle is greater than 90 degree, be less than 120 degree, the image that video camera photographs can produce distortion, according to paper " a kind of image distortion correction based on image processing " (optical technology, 01 phase in 2005), utilize a kind of method for correcting image based on image processing to revise this distortion.
Utilize sphere as image processing, the distortion of image is equivalent to each point in plane and moves on on sphere along light separately, and on subject, 1 R(is in desirable plane P, apart from O point) just correspond to R' point (being positioned in equivalent Spherical Surface S), distance X after distortion 1also just become the distance X that R' point is ordered to O 2.
Derive according to how much:
λ=arctg(X 1/f)
X 2=2fsin(λ/2)
Obtain in conjunction with above-mentioned two formulas:
X 2 = 2 f sin [ arctg ( X 1 / f ) 2 ]
Wherein, the focal length that f is camera lens, X 1for the distance between ideal image point R and imaging center point O, X 2for the distance between distortion point R' and imaging center point O.
Through oppositely deriving:
X 1 = f · tg [ 2 arcsin X 2 2 f ]
Can realize the geometric correction to distortion picture point.
In Fig. 7, (1) is the view data that video camera 1011-1 collects, Fig. 8 is video camera primary optical axis and the angle with target imaging, the visual angle of thermal camera is greater than 90 degree, be less than 120 degree, for a thermal camera, it is greater than the imaging region of 90 degree, owing to there is no reflecting strips reflects infrared light, be imaged as shadow region, get its one end as imaging initiating terminal, from P 1position starts imaging, according to P 1to the distance d of picture centre O 1, utilize the bearing calibration based on distortion equivalent face to proofread and correct, obtain the distance after proofreading and correct then according to triangle geometric operation, obtain the angle angle θ of video camera primary optical axis and screen frame 1.In the time having object to exist, to thermal camera 1011-1, target imaging position a 1, a 2a nwith the distance of picture centre position O be L 1, L 2l n, utilize the distortion correction method based on distortion equivalent face to proofread and correct, obtain the distance after proofreading and correct then derive through how much, obtain the angle α of target and primary optical axis 1, α 2α n.The angle that can calculate target and frame according to the angle of video camera primary optical axis and screen frame is θ 1± α 1, θ 1± α 2θ 1± α n.
In Fig. 7, (2) are due to vibrations or environmental impact, the view data of camera lens generation minor shifts, and Fig. 9 is the angle changing of primary optical axis after video camera minor shifts.The imaging original position of supposing video camera 1011-1 is P 1, primary optical axis originally and the angle of upper side frame are θ, when camera lens offsets downward, imaging original position is P 1', the angle that can obtain primary optical axis and upper side frame by calculating is θ '; When camera lens is upwards offset, imaging original position is P 1", the angle that can obtain primary optical axis and upper side frame by calculating is θ "; When system initialization, each video camera, all according to self imaging initiating terminal position, calculates self primary optical axis of thermal camera and the angle angle of screen frame; When device vibrations or other influences, when thermal camera primary optical axis generation minor shifts, each video camera can automatically be determined and reduces position error in primary optical axis position.
Figure 10 is that the multiple target location algorithm of the utility model based on vision is to multiple target positioning principle figure, as shown in the figure, wide and the height of screen is respectively W and H, the photocentre of upper left corner video camera 1011-1 is that origin is set up coordinate system, and other No. three video camera 1011-2,1011-3,1011-4 coordinate are respectively (W, 0), (W, H), (0, H).In the time there is multiple target, be assumed to be two target P (x, y), Q (x, y), α 1and α 2the chief ray of these two impact points and the angle of 10101-1 camera optical axis, β 1and β 2the chief ray of these two impact points and the angle of 1011-2 camera optical axis, γ 1and γ 2the chief ray of these two impact points and the angle of 1011-3 camera optical axis, with the chief ray of these two impact points and the angle of 1011-4 camera optical axis.
Set taking optical axis separately as benchmark, counterclockwise for just, clockwise for bearing.
Jiang Si road video camera is divided into two groups, and 1011-1 and 1011-2 are for organizing 1,1011-3 and 1011-4 for group 2, first by gained imaging angle [alpha] in group 1 interior video camera 1011-1 1, α 2with gained imaging angle beta in video camera 1011-2 1, β 2combination mutually, by the measurement and positioning algorithm that crosses, calculates 4 target location Q between two 1(x 1, y 1), Q 2(x 2, y 2), Q 3(x 3, y 3), Q 4(x 4, y 4), formula is as follows:
x 1 = W · sin ( θ 2 + β 1 ) · cos ( θ 1 - α 1 ) sin ( θ 1 + θ 2 + β 1 - α 1 ) , y 1 = W · sin ( θ 2 + β 1 ) · sin ( θ 1 - α 1 ) sin ( θ 1 + θ 2 + β 1 - α 1 )
x 2 = W · sin ( θ 2 + β 2 ) · cos ( θ 1 - α 1 ) sin ( θ 1 + θ 2 + β 2 - α 1 ) , y 2 = W · sin ( θ 2 + β 2 ) · sin ( θ 1 - α 1 ) sin ( θ 1 + θ 2 + β 2 - α 1 )
x 3 = W · sin ( θ 2 - α 2 ) · cos ( θ 1 + β 1 ) sin ( θ 1 + θ 2 - α 2 + β 1 ) , y 3 = W · sin ( θ 2 - α 2 ) · sin ( θ 1 + β 1 ) sin ( θ 1 + θ 2 - α 2 + β 1 )
x 4 = W · sin ( θ 2 + β 2 ) · cos ( θ 1 - α 2 ) sin ( θ 1 + θ 2 + β 2 - α 2 ) , y 4 = W · sin ( θ 2 + β 2 ) · sin ( θ 1 - α 2 ) sin ( θ 1 + θ 2 + β 2 - α 2 )
By organizing gained imaging angle γ in 2 interior video camera 1011-3 1, γ 2with gained imaging angle in video camera 1011-4 combination mutually, by the measurement and positioning algorithm that crosses, calculates 4 target location P between two 1(x 1, y 1), P 2(x 2, y 2), P 3(x 3, y 3), P 4(x 4, y 4), formula is as follows:
Obtain Q 1(x 1, y 1), Q 2(x 2, y 2), Q 3(x 3, y 3), Q 4(x 4, y 4) and P 1(x 1, y 1), P 2(x 2, y 2), P 3(x 3, y 3), P 4(x 4, y 4) repeat coordinate points, be coordinates of targets position O n(x n, y n) (n=1,2).
Figure 11 is the overall flow figure of the multiple target based on the vision location that the utility model proposes, each camera acquisition view data, then carry out image preliminary treatment, obtain the angle information of target, then video camera 10101-1 and 10101-2 angle on target value are between two in conjunction with obtaining point set P undetermined i(x i, y i) (i=1,2,3...), video camera 10101-3 and 10101-4 angle on target value are between two in conjunction with obtaining point set Q undetermined j(x j, y j) (j=1,2,3...), the point set P undetermined finally calculating in conjunction with these two groups of video cameras i(x i, y i) (i=1,2,3...) and Q j(x j, y j) (j=1,2,3...), repetition values is the coordinate O of target n(x n, y n) (n=1,2,3...)
Figure 12 is the image pretreatment process figure of the multiple target based on the vision location that the utility model proposes, for each video camera, first, the image information of camera acquisition screen surface, according to the original position of imaging, determine the also primary optical axis position of correcting camera, then calculate the angle of primary optical axis and upper side frame (or lower frame), then the Image Saving when choosing a frame and thering is no target is background image, by poor to the view data collecting and background image, remove interference and the impact of background environment, then the image after background subtraction is carried out to medium filtering processing, remove salt-pepper noise and weaken random noise, again detect the image space of target, by the image rectification algorithm based on distortion equivalent face, geometric correction is carried out in wooden target imaging position, finally according to pinhole imaging system principle, obtain the angle angle of object and video camera primary optical axis by triangle geometric operation.

Claims (2)

1. the camera shooting type multiple target positioner based on image rectification, is characterized in that comprising:
Locating platform, comprises four thermal cameras and four infrared diodes, is installed on respectively four drift angles of screen, carries out the image information collecting of object; Enclose the optics reflecting strips of pasting screen frame, this optics reflecting strips is for being reflected back thermal camera imaging by the Infrared of infrared diode transmitting;
Control circuit board is controlled transmission circuit by IMAQ control circuit and USB and is formed, and this IMAQ control circuit control locating platform front-end circuit gathers image, and this USB controls transmission circuit and communicates by letter for realizing with the USB interface of master controller;
Adopt the master controller of embedded system to be connected with control circuit board by USB interface.
2. the camera shooting type multiple target positioner based on image rectification according to claim 1, is characterized in that: described locating platform comprises:
Four drift angle place installation infrared video cameras of screen and infrared diode, install according to the sequence from low to uper part of screen, infrared diode, thermal camera, and ensure that screen plane, infrared diode optical plane and thermal camera primary optical axis are parallel to each other, screen surrounding frame is pasted optics reflecting strips, will be reflected back imaging in the thermal camera at this angle by the former road of Infrared of certain angle infrared diode transmitting;
Described thermal camera visual angle is greater than 90 degree, is less than 120 degree, and the photocentre of this thermal camera is positioned on the angular bisector at each angle.
CN201420098252.8U 2014-03-05 2014-03-05 Shooting type multi-target positioning device based on image correction Expired - Lifetime CN203747902U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201420098252.8U CN203747902U (en) 2014-03-05 2014-03-05 Shooting type multi-target positioning device based on image correction

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201420098252.8U CN203747902U (en) 2014-03-05 2014-03-05 Shooting type multi-target positioning device based on image correction

Publications (1)

Publication Number Publication Date
CN203747902U true CN203747902U (en) 2014-07-30

Family

ID=51347649

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201420098252.8U Expired - Lifetime CN203747902U (en) 2014-03-05 2014-03-05 Shooting type multi-target positioning device based on image correction

Country Status (1)

Country Link
CN (1) CN203747902U (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109726697A (en) * 2019-01-04 2019-05-07 北京灵优智学科技有限公司 Merge the Online Video system and method for AV video communication and the identification of AI material object

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109726697A (en) * 2019-01-04 2019-05-07 北京灵优智学科技有限公司 Merge the Online Video system and method for AV video communication and the identification of AI material object

Similar Documents

Publication Publication Date Title
US11704833B2 (en) Monocular vision tracking method, apparatus and non-transitory computer-readable storage medium
CN112894832B (en) Three-dimensional modeling method, three-dimensional modeling device, electronic equipment and storage medium
CN103795935A (en) Camera shooting type multi-target locating method and device based on image rectification
CN101582165B (en) Camera array calibration algorithm based on gray level image and spatial depth data
CN106971408B (en) A kind of camera marking method based on space-time conversion thought
CN112629431B (en) Civil structure deformation monitoring method and related equipment
CN109596059A (en) A kind of aircraft skin gap based on parallel lines structure light and scale measurement method
CN102622747B (en) Camera parameter optimization method for vision measurement
CN114745529B (en) Projector single TOF trapezoidal correction method and projector
CN104484887B (en) External parameters calibration method when video camera is used in combination with scanning laser range finder
CN102063718A (en) Field calibration and precision measurement method for spot laser measuring system
CN111220126A (en) Space object pose measurement method based on point features and monocular camera
CN109737913A (en) A kind of laser tracking attitude angle system and method
Mi et al. A vision-based displacement measurement system for foundation pit
CN101901501A (en) Method for generating laser color cloud picture
CN107246866A (en) A kind of high-precision six-freedom degree measuring system and method
CN103679693A (en) Multi-camera single-view calibration device and calibration method thereof
CN106403900A (en) Flyer tracking and locating system and method
CN102927917A (en) Multi-view vision measurement method of iron tower
CN103438834A (en) Hierarchy-type rapid three-dimensional measuring device and method based on structured light projection
CN111504182B (en) Object volume vision measurement method using two-dimensional code for auxiliary calibration
CN111811462A (en) Large-component portable visual ranging system and method in extreme environment
CN112733428A (en) Scanning attitude and coverage path planning method for optical measurement
CN104236455A (en) On-line detecting system and method for honeycomb plate
CN110044266B (en) Photogrammetry system based on speckle projection

Legal Events

Date Code Title Description
C14 Grant of patent or utility model
GR01 Patent grant
CX01 Expiry of patent term

Granted publication date: 20140730

CX01 Expiry of patent term