【学习opencv】基于SFM的摄像机内参自标定 Refined intrinsics:

 

不同点数对标定精度的影响

Estimated 3D points: 26

Estimated cameras: 239

Refined intrinsics:

[1018.331747019989, 0, 601.67991718742;

0, 1018.331747019989, 360.997597742872;

0, 0, 1]

Estimated 3D points: 25

Estimated cameras: 20

Refined intrinsics:

[1245.91832058927, 0, 648.0800824513022;

0, 1245.91832058927, 353.4935411974013;

0, 0, 1]

 

Estimated 3D points: 25

Estimated cameras: 18

Refined intrinsics:

[1239.863423523276, 0, 648.2407864981399;

0, 1239.863423523276, 344.9573425450793;

0, 0, 1]

 

============================

Estimated 3D points: 25

Estimated cameras: 16

Refined intrinsics:

[1302.106438088877, 0, 646.382511392425;

0, 1302.106438088877, 342.3242942174048;

Estimated 3D points: 25

Estimated cameras: 8

Refined intrinsics:

[1115.328614250269, 0, 635.0878571823664;

0, 1115.328614250269, 298.8618964180972;

0, 0, 1]

 

Estimated 3D points: 25

Estimated cameras: 6

Refined intrinsics:

[1326.667732562298, 0, 624.9082673760179;

0, 1326.667732562298, 215.1675636142354;

0, 0, 1]

Estimated 3D points: 23

Estimated cameras: 4

Refined intrinsics:

[1740.916680531635, 0, 672.2032837689776;

0, 1740.916680531635, 226.8932589819472;

0, 0, 1]

Estimated 3D points: 23

Estimated cameras: 3

Refined intrinsics:

[1488.024913824398, 0, 632.6354062653276;

0, 1488.024913824398, 354.7659750124561;

0, 0, 1]