本文整理了Java中boofcv.alg.geo.calibration.Zhang99ComputeTargetHomography.getHomography()方法的一些代码示例，展示了Zhang99ComputeTargetHomography.getHomography()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。Zhang99ComputeTargetHomography.getHomography()方法的具体详情如下：
包路径：boofcv.alg.geo.calibration.Zhang99ComputeTargetHomography
类名称：Zhang99ComputeTargetHomography
方法名：getHomography

Zhang99ComputeTargetHomography.getHomography介绍

[英]Returns a copy of the found homography matrix.
[中]返回找到的单应矩阵的副本。

代码示例

代码示例来源：origin: us.ihmc/DarpaRoboticsChallenge

public boolean estimateCameraPose(BufferedImage leftEye)
{
 if (!hasIntrinsic)
   return false;
 gray.reshape(leftEye.getWidth(), leftEye.getHeight());
 ConvertBufferedImage.convertFrom(leftEye, gray);
 if (!target.process(gray))
   return false;
 if (!computeH.computeHomography(target.getDetectedPoints()))
   return false;
 DenseMatrix64F H = computeH.getHomography();
 targetToOrigin.set(decomposeH.decompose(H));
 return 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

throw new RuntimeException("Can't compute homography");
DenseMatrix64F H = computeH.getHomography();

代码示例来源：origin: us.ihmc/ihmc-perception

throw new RuntimeException("Can't compute homography");
DenseMatrix64F H = computeH.getHomography();

代码示例来源：origin: us.ihmc/IHMCPerception

throw new RuntimeException("Can't compute homography");
DenseMatrix64F H = computeH.getHomography();