mirror of
https://github.com/introlab/rtabmap.git
synced 2026-09-01 17:10:26 +08:00
Reg: normalize covariance angle /10
This commit is contained in:
@@ -212,35 +212,8 @@ Transform Registration::computeTransformationMod(
|
||||
}
|
||||
}
|
||||
|
||||
if(covarianceNormalized_)
|
||||
{
|
||||
// normalize variance
|
||||
UASSERT(info.covariance.cols == 6 && info.covariance.rows == 6);
|
||||
float norm = t.getNorm();
|
||||
if(norm > 0.0f)
|
||||
{
|
||||
cv::Mat(info.covariance, cv::Range(0,3), cv::Range(0,3)) *= norm;
|
||||
}
|
||||
float angle = t.getAngle();
|
||||
if(angle > 0.0f)
|
||||
{
|
||||
cv::Mat(info.covariance, cv::Range(3,6), cv::Range(3,6)) *= angle;
|
||||
}
|
||||
}
|
||||
|
||||
double epsilon = 0.000001;
|
||||
if(info.covariance.at<double>(0,0)<=0.0)
|
||||
info.covariance.at<double>(0,0) = epsilon; // epsilon if exact transform
|
||||
if(info.covariance.at<double>(1,1)<=0.0)
|
||||
info.covariance.at<double>(1,1) = epsilon; // epsilon if exact transform
|
||||
if(info.covariance.at<double>(2,2)<=0.0)
|
||||
info.covariance.at<double>(2,2) = epsilon; // epsilon if exact transform
|
||||
if(info.covariance.at<double>(3,3)<=0.0)
|
||||
info.covariance.at<double>(3,3) = epsilon; // epsilon if exact transform
|
||||
if(info.covariance.at<double>(4,4)<=0.0)
|
||||
info.covariance.at<double>(4,4) = epsilon; // epsilon if exact transform
|
||||
if(info.covariance.at<double>(5,5)<=0.0)
|
||||
info.covariance.at<double>(5,5) = epsilon; // epsilon if exact transform
|
||||
normalizeCovariance(info.covariance, t);
|
||||
|
||||
if(child_)
|
||||
{
|
||||
@@ -266,4 +239,36 @@ Transform Registration::computeTransformationMod(
|
||||
return t;
|
||||
}
|
||||
|
||||
void Registration::normalizeCovariance(cv::Mat & covariance, const Transform & transform) const
|
||||
{
|
||||
UASSERT(covariance.cols == 6 && covariance.rows == 6);
|
||||
|
||||
if(covarianceNormalized_)
|
||||
{
|
||||
// normalize variance
|
||||
float norm = transform.getNorm();
|
||||
covariance.at<double>(0,0) *= norm;
|
||||
covariance.at<double>(1,1) *= norm;
|
||||
covariance.at<double>(2,2) *= norm;
|
||||
float angle = transform.getAngle()/10.0;
|
||||
covariance.at<double>(3,3) *= angle;
|
||||
covariance.at<double>(4,4) *= angle;
|
||||
covariance.at<double>(5,5) *= angle;
|
||||
}
|
||||
|
||||
double epsilon = 0.000001;
|
||||
if(covariance.at<double>(0,0)<=0.0)
|
||||
covariance.at<double>(0,0) = epsilon; // epsilon if exact transform
|
||||
if(covariance.at<double>(1,1)<=0.0)
|
||||
covariance.at<double>(1,1) = epsilon; // epsilon if exact transform
|
||||
if(covariance.at<double>(2,2)<=0.0)
|
||||
covariance.at<double>(2,2) = epsilon; // epsilon if exact transform
|
||||
if(covariance.at<double>(3,3)<=0.0)
|
||||
covariance.at<double>(3,3) = epsilon; // epsilon if exact transform
|
||||
if(covariance.at<double>(4,4)<=0.0)
|
||||
covariance.at<double>(4,4) = epsilon; // epsilon if exact transform
|
||||
if(covariance.at<double>(5,5)<=0.0)
|
||||
covariance.at<double>(5,5) = epsilon; // epsilon if exact transform
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
@@ -1292,28 +1292,13 @@ Transform RegistrationVis::computeTransformationImpl(
|
||||
poses.insert(std::make_pair(2, transforms[0]));
|
||||
|
||||
cv::Mat cov = covariances[0].clone();
|
||||
if(covarianceNormalized())
|
||||
{
|
||||
cv::Mat(cov, cv::Range(0,3), cv::Range(0,3)) *= transform.getNorm();
|
||||
cv::Mat(cov, cv::Range(3,6), cv::Range(3,6)) *= transform.getAngle();
|
||||
}
|
||||
if(cov.at<double>(0,0)<=0.0)
|
||||
{
|
||||
cov = cv::Mat::eye(6,6,CV_64FC1)*0.000001; // epsilon if exact transform
|
||||
}
|
||||
normalizeCovariance(cov, transform);
|
||||
|
||||
links.insert(std::make_pair(1, Link(1, 2, Link::kNeighbor, transforms[0], cov.inv())));
|
||||
if(!transforms[1].isNull() && inliers[1].size())
|
||||
{
|
||||
cov = covariances[1].clone();
|
||||
if(covarianceNormalized())
|
||||
{
|
||||
cv::Mat(cov, cv::Range(0,3), cv::Range(0,3)) *= transform.getNorm();
|
||||
cv::Mat(cov, cv::Range(3,6), cv::Range(3,6)) *= transform.getAngle();
|
||||
}
|
||||
if(cov.at<double>(0,0)<=0.0)
|
||||
{
|
||||
cov = cv::Mat::eye(6,6,CV_64FC1)*0.000001; // epsilon if exact transform
|
||||
}
|
||||
normalizeCovariance(cov, transform);
|
||||
links.insert(std::make_pair(2, Link(2, 1, Link::kNeighbor, transforms[1], cov.inv())));
|
||||
}
|
||||
|
||||
|
||||
Reference in New Issue
Block a user