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Functions451 in github.com/TurtleZhong/msckf_mono

⨍ Functions 451◇ Types & classes 89

MethodtoMatrix4d

src/msckf_mine/src/converter.cc:89

MethodtoMatrix4d

src/msckf_mine_1.5/src/converter.cc:89

MethodtoQuaternion

src/msckf_mine_1.0/src/converter.cc:102

MethodtoQuaternion

src/msckf_mine/src/converter.cc:102

MethodtoQuaternion

src/msckf_mine_1.5/src/converter.cc:102

MethodtoVector3d

src/msckf_mine_1.0/src/converter.cc:54

MethodtoVector3d

src/msckf_mine/src/converter.cc:54

MethodtoVector3d

src/msckf_mine_1.5/src/converter.cc:54

src/msckf_mine_1.0/src/converter.cc:144

src/msckf_mine/src/converter.cc:144

src/msckf_mine_1.5/src/converter.cc:144

MethodtrackFeatures

src/msckf_mine_1.5/src/image_processor.cc:351

MethodtrackFeatures

* @brief 第一帧图像初始化 * 提取fast关键点，用光流进行跟踪匹配关键点对（klt） * 对图像画格子，对格子内提取一定数量的特征点 * */

src/msckf_vio_note/src/image_processor.cpp:507

MethodtwoPointRansac

src/msckf_mine_1.5/src/image_processor.cc:921

MethodtwoPointRansac

* @brief 计算原图像帧关键点对应的矫正位置 * @param pts1：上一时刻的关键点位置 * @param pts2:当前时刻跟踪匹配到的关键点位置 * @param R_p_c:根据imu信息计算得到的两个时刻相机的相对旋转信息 * @param distortion_mode

src/msckf_vio_note/src/image_processor.cpp:1183

MethodunDistortImage

src/msckf_mine_1.0/backup/msckf_20180131.cc:463

MethodunDistortImage

src/msckf_mine_1.0/src/msckf.cc:478

MethodunDistortImage

src/msckf_mine/src/msckf.cc:282

MethodunDistortImage

src/msckf_mine/src/frame.cc:61

MethodundistortPoints

src/msckf_mine_1.5/src/image_processor.cc:784

MethodundistortPoints

* @brief 计算原图像帧关键点对应的矫正位置 * @param pts_in：原图像帧的关键点位置 * @param intrinsics:内参矩阵 * @param distortion_model：相机模型 * @param distortion_coeffs:畸变系数 * @r

src/msckf_vio_note/src/image_processor.cpp:997

MethodupdateFeatureLifetime

src/msckf_mine_1.5/src/image_processor.cc:1386

MethodupdateFeatureLifetime

src/msckf_vio_note/src/image_processor.cpp:1696

MethodupdateJacobians

* @brief Update jacobian matrices for the system state transition function using current state * * This will re-compute the (state-dependent

src/EKF_learning/kalman/examples/Robot1/PositionMeasurementModel.hpp:131

MethodupdateJacobians

* @brief Update jacobian matrices for the system state transition function using current state * * This will re-compute the (state-dependent

src/EKF_learning/kalman/examples/Robot1/SystemModel.hpp:138

MethodupdateJacobians

* Callback function for state-dependent update of Jacobi-matrices H and V before each update step */

src/EKF_learning/kalman/include/kalman/LinearizedMeasurementModel.hpp:64

MethodupdateStateCovariance

src/EKF_learning/kalman/include/kalman/SquareRootUnscentedKalmanFilter.hpp:301

MethodupdateStateCovariance

src/EKF_learning/kalman/include/kalman/UnscentedKalmanFilter.hpp:274

MethodupdateStateCovariance

src/EKF_learning/kalman/include/kalman/SquareRootExtendedKalmanFilter.hpp:269

src/msckf_mine_1.0/src/camera.cc:56

src/msckf_mine/src/camera.cc:56

src/msckf_mine_1.5/src/camera.cc:56

src/msckf_mine_1.0/src/config.cc:21

src/msckf_mine/src/config.cc:21

src/msckf_mine_1.5/src/config.cc:21

Method~DataReader

src/msckf_mine_1.0/src/data_reader.cc:16

Method~DataReader

src/msckf_mine/src/data_reader.cc:16

Method~DataReader

src/msckf_mine_1.5/src/data_reader.cc:16

Method~ImageProcessor

src/msckf_mine_1.5/src/image_processor.cc:17

Method~ImageProcessor

src/msckf_vio_note/src/image_processor.cpp:36

Method~ImageProcessorNodelet

src/msckf_vio_note/include/msckf_vio/image_processor_nodelet.h:19

Method~LinearizedMeasurementModel

src/EKF_learning/kalman/include/kalman/LinearizedMeasurementModel.hpp:75

Method~LinearizedSystemModel

src/EKF_learning/kalman/include/kalman/LinearizedSystemModel.hpp:76

src/msckf_mine_1.0/backup/msckf_20180131.cc:37

src/msckf_mine_1.0/src/msckf.cc:38

src/msckf_mine/src/msckf.cc:34

Method~MeasurementModel

src/EKF_learning/kalman/include/kalman/MeasurementModel.hpp:63

Method~MsckfVio

src/msckf_vio_note/include/msckf_vio/msckf_vio.h:49

Method~MsckfVioNodelet

src/msckf_vio_note/include/msckf_vio/msckf_vio_nodelet.h:19

Method~ORBextractor

src/msckf_mine/include/ORBextractor.h:54

Method~SystemModel

src/EKF_learning/kalman/include/kalman/SystemModel.hpp:65

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