EWorldShape::AutoCalibrateLandmarks
Returns the best calibration modes for the current landmark Feature point in an image that can be accurately located directly or indirectly (center of a shape, intersection of edges, ...). When an image must be realigned with respect to another one, landmarks can be matched together. set and calibrates the field of view accordingly.
Namespace: Euresys::Open_eVision
[C++]
OEV_UINT32 AutoCalibrateLandmarks(
bool testEmpiricalModes
)
Parameters
testEmpiricalModes
Boolean indicating whether empirical calibration modes (ECalibrationMode.Quadratic and ECalibrationMode.Bilinear) should be considered when determining the best calibration modes. Default value is false.
Remarks
Landmark calibration is the process of computing the calibration parameters by means of a set of known points for which the coordinates are available in both World and Sensor spaces. Usually, such points are chosen as salient features on the part or target in view. They must be such that appropriate image processing techniques allow measuring their positions from the image (directly or indirectly by geometric constructions), while at the same time their coordinates in a reference frame are known.
To ensure a successful calibration, the perspective angle of the view should not exceed 45 degrees.
This method is meant to be used with landmark calibration only. To calibrate automatically your field of view using a dot grid, use the EWorldShape::AutoCalibrate method instead.
EWorldShape.AutoCalibrateLandmarks
Returns the best calibration modes for the current landmark set and calibrates the field of view accordingly.
Namespace: Euresys.Open_eVision
[C#]
uint AutoCalibrateLandmarks(
bool testEmpiricalModes
)
Parameters
testEmpiricalModes
Boolean indicating whether empirical calibration modes (ECalibrationMode.Quadratic and ECalibrationMode.Bilinear) should be considered when determining the best calibration modes. Default value is false.
Remarks
Landmark calibration is the process of computing the calibration parameters by means of a set of known points for which the coordinates are available in both World and Sensor spaces. Usually, such points are chosen as salient features on the part or target in view. They must be such that appropriate image processing techniques allow measuring their positions from the image (directly or indirectly by geometric constructions), while at the same time their coordinates in a reference frame are known.
To ensure a successful calibration, the perspective angle of the view should not exceed 45 degrees.
This method is meant to be used with landmark calibration only. To calibrate automatically your field of view using a dot grid, use the EWorldShape.AutoCalibrate method instead.
EWorldShape.AutoCalibrateLandmarks
Returns the best calibration modes for the current landmark set and calibrates the field of view accordingly.
Module: open_evision
[Python]
AutoCalibrateLandmarks(
testEmpiricalModes: bool
) -> int
AutoCalibrateLandmarks() -> int
Parameters
testEmpiricalModes
Boolean indicating whether empirical calibration modes (ECalibrationMode.Quadratic and ECalibrationMode.Bilinear) should be considered when determining the best calibration modes. Default value is false.
Remarks
Landmark calibration is the process of computing the calibration parameters by means of a set of known points for which the coordinates are available in both World and Sensor spaces. Usually, such points are chosen as salient features on the part or target in view. They must be such that appropriate image processing techniques allow measuring their positions from the image (directly or indirectly by geometric constructions), while at the same time their coordinates in a reference frame are known.
To ensure a successful calibration, the perspective angle of the view should not exceed 45 degrees.
This method is meant to be used with landmark calibration only. To calibrate automatically your field of view using a dot grid, use the EWorldShape.AutoCalibrate method instead.