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本文整理了Java中boofcv.alg.geo.calibration.Zhang99DecomposeHomography.setCalibrationMatrix()
方法的一些代码示例,展示了Zhang99DecomposeHomography.setCalibrationMatrix()
的具体用法。这些代码示例主要来源于Github
/Stackoverflow
/Maven
等平台,是从一些精选项目中提取出来的代码,具有较强的参考意义,能在一定程度帮忙到你。Zhang99DecomposeHomography.setCalibrationMatrix()
方法的具体详情如下:
包路径:boofcv.alg.geo.calibration.Zhang99DecomposeHomography
类名称:Zhang99DecomposeHomography
方法名:setCalibrationMatrix
[英]Specifies the calibration matrix.
[中]指定校准矩阵。
代码示例来源:origin: us.ihmc/DarpaRoboticsChallenge
public void setIntrinsic(IntrinsicParameters intrinsic)
{
DenseMatrix64F K = PerspectiveOps.calibrationMatrix(intrinsic, null);
decomposeH.setCalibrationMatrix(K);
hasIntrinsic = true;
}
代码示例来源:origin: org.boofcv/calibration
/**
* Find an initial estimate for calibration parameters using linear techniques.
*/
protected Zhang99ParamAll initialParam( List<CalibrationObservation> observations )
{
status("Estimating Homographies");
List<DenseMatrix64F> homographies = new ArrayList<>();
List<Se3_F64> motions = new ArrayList<>();
for( CalibrationObservation obs : observations ) {
if( !computeHomography.computeHomography(obs) )
return null;
DenseMatrix64F H = computeHomography.getHomography();
homographies.add(H);
}
status("Estimating Calibration Matrix");
computeK.process(homographies);
DenseMatrix64F K = computeK.getCalibrationMatrix();
decomposeH.setCalibrationMatrix(K);
for( DenseMatrix64F H : homographies ) {
motions.add(decomposeH.decompose(H));
}
status("Estimating Radial Distortion");
computeRadial.process(K, homographies, observations);
double distort[] = computeRadial.getParameters();
return convertIntoZhangParam(motions, K,optimized.assumeZeroSkew, distort,
optimized.includeTangential);
}
代码示例来源:origin: org.boofcv/boofcv-calibration
/**
* Find an initial estimate for calibration parameters using linear techniques.
*/
protected boolean linearEstimate(List<CalibrationObservation> observations , Zhang99AllParam param )
{
status("Estimating Homographies");
List<DMatrixRMaj> homographies = new ArrayList<>();
List<Se3_F64> motions = new ArrayList<>();
for( CalibrationObservation obs : observations ) {
if( !computeHomography.computeHomography(obs) )
return false;
DMatrixRMaj H = computeHomography.getHomography();
homographies.add(H);
}
status("Estimating Calibration Matrix");
computeK.process(homographies);
DMatrixRMaj K = computeK.getCalibrationMatrix();
decomposeH.setCalibrationMatrix(K);
for( DMatrixRMaj H : homographies ) {
motions.add(decomposeH.decompose(H));
}
status("Estimating Radial Distortion");
computeRadial.process(K, homographies, observations);
double distort[] = computeRadial.getParameters();
convertIntoZhangParam(motions, K,distort, param);
return true;
}
代码示例来源:origin: us.ihmc/ImageProcessing
decomposeH.setCalibrationMatrix(new DenseMatrix64F(3,3,true,new double[]{555,0,1024/2,0,555,544/2,0,0,1}));
Se3_F64 motion = decomposeH.decompose(H);
代码示例来源:origin: us.ihmc/ihmc-perception
decomposeH.setCalibrationMatrix(K);
return decomposeH.decompose(H);
代码示例来源:origin: us.ihmc/IHMCPerception
decomposeH.setCalibrationMatrix(K);
return decomposeH.decompose(H);
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