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2018-11-08 12:58:14 -0600 received badge  Student (source)
2013-07-16 16:52:46 -0600 commented answer How can i calibrate 2 not aligned Cameras

Tank you verry much! You were right the intrinsics where the problem... I captured new images used CV_CALIB_FIX_INTRINSIC and changed a bit of code (just to make it look nicer ;)) and it is working now!

2013-07-16 16:50:36 -0600 received badge  Scholar (source)
2013-07-15 13:13:55 -0600 commented answer How can i calibrate 2 not aligned Cameras

Thank you for your quick answer, i'll give it a try (in several other attemps i did it like this but maybe there were other problems too ;)

Well the Kinectimage is half as big as the other image but i scaled it before using... (ugly i know but it should work, should it... :P?)

2013-07-15 13:12:55 -0600 received badge  Supporter (source)
2013-07-15 10:30:59 -0600 received badge  Editor (source)
2013-07-15 10:30:23 -0600 asked a question How can i calibrate 2 not aligned Cameras

Hello,

i hope I am describing it the right way.

I have a set of 4 Cameras pointing down at one Object.

If you look from above one Camera is at 0 o'clock one at 3 o'clock one at 6 o'clock and one at 9 o'clock.

image description

I now want to use one Kamera (the one at 0) and calibrate each of the other cameras with this Camera.

Bit It doesn't seem to work. After trying for a month now i used the example File from the opencv samples without any changes and it wouldn display anything usable.

Right now I am running again the Calibration for the Cameras at 0 and 9 o'clock (in the picture it i the kinect and the one right to the kinect) to be able to post an image of the Result but so far: Does anyone know if it is possible to calibrate those Cameras with Opencv or how it is done?

thank you verry much steaff

Those are the source and the resulting Image and the content of the calculated matrices

image description image description

The Intrinsic Camera Parameters:

%YAML:1.0

M1: !!opencv-matrix

rows: 3

cols: 3

dt: d

data: [ 2.2241379209351021e+003, 0., 6.3059176335930135e+002, 0., 2.2241379209351021e+003, 5.1007775759383134e+002, 0., 0., 1. ]

D1: !!opencv-matrix

rows: 1

cols: 8

dt: d

data: [ 1.0043368468776315e+000, -3.4416247147983135e+001, 0., 0., 0., 0., 0., 4.7443526196894297e+000 ]

M2: !!opencv-matrix

rows: 3

cols: 3

dt: d

data: [ 2.2241379209351021e+003, 0., 7.1690683602360411e+002, 0., 2.2241379209351021e+003, 5.4388045026940574e+002, 0., 0., 1. ]

D2: !!opencv-matrix

rows: 1

cols: 8

dt: d

data: [ 6.6088041195880498e-001, -1.1820658547536208e+001, 0., 0., 0., 0., 0., -7.2303203938806320e+001 ]

The Extrinsic Camera Parameters:

%YAML:1.0

R: !!opencv-matrix

rows: 3

cols: 3

dt: d

data: [ 6.1501820069651592e-001, -7.2649429222532536e-001, 3.0652676257717498e-001, 7.0686612034488350e-001, 6.8023651807437502e-001, 1.9395506538016299e-001, -3.4941794561898637e-001, 9.7387488118721999e-002, 9.3189204119218294e-001 ]

T: !!opencv-matrix

rows: 3

cols: 1

dt: d

data: [ -3.1075937414718489e+001, -1.2954808145854402e+001, -4.6420195458050941e+001 ]

R1: !!opencv-matrix

rows: 3

cols: 3

dt: d

data: [ 2.1012586079464327e-001, -1.6119129293625789e-001, 9.6429481472568745e-001, 3.9746030635964452e-001, 9.1521541260311323e-001, 6.6378109360021809e-002, -8.9323705000061882e-001, 3.6932115511469271e-001, 2.5637756705870601e-001 ]

R2: !!opencv-matrix

rows: 3

cols: 3

dt: d

data: [ 5.4191795082816152e-001, 2.2591251198904466e-001, 8.0949890147980208e-001, -4.0010678397909216e-001, 9.1638854084540944e-001, 1.2107998229665726e-002, -7.3908016884781491e-001, -3.3044754369494300e-001, 5.8699652884992803e-001 ]

P1: !!opencv-matrix

rows: 3

cols: 4

dt: d

data: [ -2.9229981928635933e+001, 0., -6.9050370635986328e+003, 0., 0., -2.9229981928635933e+001, 1.9621982192993164e+002, 0., 0., 0., 1., 0. ]

P2: !!opencv-matrix

rows: 3

cols: 4

dt: d

data: [ -2.9229981928635933e+001, 0., -6.9050370635986328e+003, 1.6761745715555271e+003, 0., -2.9229981928635933e+001, 1.9621982192993164e+002, 0., 0., 0., 1., 0. ]

Q: !!opencv-matrix

rows: 4

cols: 4

dt: d

data: [ 1., 0., 0., 6.9050370635986328e+003, 0., 1., 0., -1.9621982192993164e+002, 0., 0., 0., -2.9229981928635933e+001, 0., 0., 1.7438506957846198e-002, 0. ]