summaryrefslogtreecommitdiffhomepage
path: root/cv/translation-calibrator.hpp
diff options
context:
space:
mode:
authorStanislaw Halik <sthalik@misaki.pl>2017-03-16 13:39:38 +0100
committerStanislaw Halik <sthalik@misaki.pl>2017-03-16 13:41:16 +0100
commit7aa0b084b97e66e0869d44b67ee02b7d45fbb661 (patch)
treeb5f03156e1b66a5b997c8761f562c34997693120 /cv/translation-calibrator.hpp
parent426ee39a2c2a50f08ed89b7471ba40416293e451 (diff)
cv/calibrator: limit samples at similar positions
Having yaw and pitch as a tuple, let N be the granularity. We're now only allowing one sample per the granularity level. Granularity -- "spacing_in_degrees" has a value of 3 degrees. For now the values must be integral. Since we're only allowing (yaw, pitch) tuples of given granularity, the following get treated as distinct: (0; 0), (0; 3), (0; 6), (1; 42), (3; 3) The tuple value order can be swapped. There's nothing significant as for what's pitch and what's yaw. We drop the remainder between the yaw/pitch value so (0, 0) is index 0, (0; N) is index 1, (0; 2N) index 3, etc. This should prevent the calibration function from biasing itself when the user keeps still during the procedure.
Diffstat (limited to 'cv/translation-calibrator.hpp')
-rw-r--r--cv/translation-calibrator.hpp17
1 files changed, 15 insertions, 2 deletions
diff --git a/cv/translation-calibrator.hpp b/cv/translation-calibrator.hpp
index cfde0051..76fb5db9 100644
--- a/cv/translation-calibrator.hpp
+++ b/cv/translation-calibrator.hpp
@@ -7,7 +7,8 @@
#pragma once
-#include <opencv2/core/core.hpp>
+#include <opencv2/core.hpp>
+#include <vector>
//-----------------------------------------------------------------------------
// Calibrates the translation from head to model = t_MH
@@ -19,7 +20,7 @@
class TranslationCalibrator
{
public:
- TranslationCalibrator();
+ TranslationCalibrator(unsigned yaw_rdof, unsigned pitch_rdof);
// reset the calibration process
void reset();
@@ -31,6 +32,18 @@ public:
cv::Vec3f get_estimate();
private:
+ bool check_bucket(const cv::Matx33d& R_CM_k);
+
cv::Matx66f P; // normalized precision matrix = inverse covariance
cv::Vec6f y; // P*(-t_MH, t_CH)
+
+ // note, bin count's so small we don't need a bloom filter
+ std::vector<bool> used_poses;
+
+ static constexpr int spacing_in_degrees = 3;
+
+ // this allows allows us up to +-180 for yaw and pitch
+ static constexpr int bin_count = 361*360 / (spacing_in_degrees*spacing_in_degrees) + 1;
+
+ unsigned yaw_rdof, pitch_rdof, nsamples;
};