diff options
author | Stanislaw Halik <sthalik@misaki.pl> | 2017-03-16 13:39:38 +0100 |
---|---|---|
committer | Stanislaw Halik <sthalik@misaki.pl> | 2017-03-16 13:41:16 +0100 |
commit | 7aa0b084b97e66e0869d44b67ee02b7d45fbb661 (patch) | |
tree | b5f03156e1b66a5b997c8761f562c34997693120 /cv/translation-calibrator.hpp | |
parent | 426ee39a2c2a50f08ed89b7471ba40416293e451 (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.hpp | 17 |
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; }; |