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MarkerDetection: added automatic marker's length estimation when depth image is provided (and when Aruco/MarkerLength is 0).

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matlabbe
2019-02-22 20:01:09 -05:00
parent e635f35cf1
commit d089e95e5a
6 changed files with 111 additions and 12 deletions
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2
corelib/include/rtabmap/core/MarkerDetector.h
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@@ -43,7 +43,7 @@ public:
MarkerDetector(const ParametersMap & parameters = ParametersMap());
virtual ~MarkerDetector();
void parseParameters(const ParametersMap & parameters);
std::map<int, Transform> detect(const cv::Mat & image, const CameraModel & model, cv::Mat * imageWithDetections = 0);
std::map<int, Transform> detect(const cv::Mat & image, const CameraModel & model, const cv::Mat & depth = cv::Mat(), float * estimatedMarkerLength = 0, cv::Mat * imageWithDetections = 0);
private:
#ifdef HAVE_OPENCV_ARUCO

2
corelib/include/rtabmap/core/Parameters.h
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@@ -713,7 +713,7 @@ class RTABMAP_EXP Parameters
RTABMAP_PARAM(Aruco, Dictionary, int, 0, "Dictionary to use: DICT_4X4_50=0, DICT_4X4_100=1, DICT_4X4_250=2, DICT_4X4_1000=3, DICT_5X5_50=4, DICT_5X5_100=5, DICT_5X5_250=6, DICT_5X5_1000=7, DICT_6X6_50=8, DICT_6X6_100=9, DICT_6X6_250=10, DICT_6X6_1000=11, DICT_7X7_50=12, DICT_7X7_100=13, DICT_7X7_250=14, DICT_7X7_1000=15, DICT_ARUCO_ORIGINAL = 16, DICT_APRILTAG_16h5=17, DICT_APRILTAG_25h9=18, DICT_APRILTAG_36h10=19, DICT_APRILTAG_36h11=20");
RTABMAP_PARAM(Aruco, MarkerLength, float, 0.1, "The length (m) of the markers' side.");
RTABMAP_PARAM(Aruco, VarianceLinear, float, 0.001, "Linear variance to set on marker detections.");
RTABMAP_PARAM(Aruco, VarianceAngular, float, 0.001, "Angular variance to set on marker detections. Set to >=9999 to use only position (xyz) constraint in graph optimization.");
RTABMAP_PARAM(Aruco, VarianceAngular, float, 0.01, "Angular variance to set on marker detections. Set to >=9999 to use only position (xyz) constraint in graph optimization.");
RTABMAP_PARAM(Aruco, CornerRefinementMethod, int, 0, "Corner refinement method (0: None, 1: Subpixel, 2:contour, 3: AprilTag 2). For OpenCV <3.3.0, this is \"doCornerRefinement\" parameter: set 0 for false and 1 for true.");
public: