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-rw-r--r--ftnoir_tracker_pt/point_tracker.cpp10
1 files changed, 5 insertions, 5 deletions
diff --git a/ftnoir_tracker_pt/point_tracker.cpp b/ftnoir_tracker_pt/point_tracker.cpp
index d7adc09c..cedf1979 100644
--- a/ftnoir_tracker_pt/point_tracker.cpp
+++ b/ftnoir_tracker_pt/point_tracker.cpp
@@ -196,7 +196,7 @@ int PointTracker::POSIT(const PointModel& model, const PointOrder& order_, float
float JJ0 = J0.dot(J0);
float rho, theta;
if (JJ0 == II0) {
- rho = sqrt(abs(2*IJ0));
+ rho = std::sqrt(std::abs(2*IJ0));
theta = -PI/4;
if (IJ0<0) theta *= -1;
}
@@ -214,7 +214,7 @@ int PointTracker::POSIT(const PointModel& model, const PointOrder& order_, float
J_1 = J0 + rho*sin(theta)*model.u;
J_2 = J0 - rho*sin(theta)*model.u;
- float norm_const = 1.0/norm(I_1); // all have the same norm
+ float norm_const = 1.0/cv::norm(I_1); // all have the same norm
// create rotation matrices
I_1 *= norm_const; J_1 *= norm_const;
@@ -233,8 +233,8 @@ int PointTracker::POSIT(const PointModel& model, const PointOrder& order_, float
// pick the rotation solution closer to the expected one
// in simple metric d(A,B) = || I - A * B^T ||
- float R_1_deviation = norm(cv::Matx33f::eye() - R_expected * R_1.t());
- float R_2_deviation = norm(cv::Matx33f::eye() - R_expected * R_2.t());
+ float R_1_deviation = cv::norm(cv::Matx33f::eye() - R_expected * R_1.t());
+ float R_2_deviation = cv::norm(cv::Matx33f::eye() - R_expected * R_2.t());
if (R_1_deviation < R_2_deviation)
R_current = &R_1;
@@ -244,7 +244,7 @@ int PointTracker::POSIT(const PointModel& model, const PointOrder& order_, float
get_row(*R_current, 2, k);
// check for convergence condition
- if (abs(epsilon_1 - old_epsilon_1) + abs(epsilon_2 - old_epsilon_2) < EPS_THRESHOLD)
+ if (std::abs(epsilon_1 - old_epsilon_1) + std::abs(epsilon_2 - old_epsilon_2) < EPS_THRESHOLD)
break;
old_epsilon_1 = epsilon_1;
old_epsilon_2 = epsilon_2;