61 double relative_rmse = 1e-6,
62 double relative_fitness = 1e-6)
63 : max_iteration_(max_iteration),
64 relative_rmse_(relative_rmse),
65 relative_fitness_(relative_fitness) {}
88 double inlier_rmse = 0.0,
90 : transformation_(transformation),
91 inlier_rmse_(inlier_rmse),
117 float depth_huber_delta = 0.05,
118 float intensity_huber_delta = 0.1)
119 : depth_outlier_trunc_(depth_outlier_trunc),
120 depth_huber_delta_(depth_huber_delta),
121 intensity_huber_delta_(intensity_huber_delta) {
122 if (depth_outlier_trunc_ < 0) {
124 "Depth outlier truncation < 0, outliers will be counted!");
126 if (depth_huber_delta_ >= depth_outlier_trunc_) {
128 "Huber delta is greater than truncation, huber norm will " 129 "degenerate to L2 norm!");
170 const float depth_scale = 1000.0f,
171 const float depth_max = 3.0f,
172 const std::vector<OdometryConvergenceCriteria>& criteria_list = {10, 5,
208 const float depth_outlier_trunc,
209 const float depth_huber_delta);
255 const float depth_outlier_trunc,
256 const float intensity_huber_delta);
314 const float depth_outlier_trunc,
315 const float depth_huber_delta,
316 const float intensity_huber_delta);
double fitness_
Definition: RGBDOdometry.h:103
Definition: RGBDOdometry.h:78
int max_iteration_
Maximum iteration before iteration stops.
Definition: RGBDOdometry.h:69
core::Tensor transformation_
The estimated transformation matrix of dtype Float64 on CPU device.
Definition: RGBDOdometry.h:98
~OdometryResult()
Definition: RGBDOdometry.h:94
#define LogWarning(...)
Definition: Logging.h:84
OdometryResult ComputeOdometryResultIntensity(const Tensor &source_depth, const Tensor &target_depth, const Tensor &source_intensity, const Tensor &target_intensity, const Tensor &target_intensity_dx, const Tensor &target_intensity_dy, const Tensor &source_vertex_map, const Tensor &intrinsics, const Tensor &init_source_to_target, const float depth_outlier_trunc, const float intensity_huber_delta)
Estimates the 4x4 rigid transformation T from source to target, with inlier rmse and fitness...
Definition: RGBDOdometry.cpp:439
double inlier_rmse_
RMSE of all inlier. Lower is better.
Definition: RGBDOdometry.h:100
float depth_huber_delta_
Definition: RGBDOdometry.h:136
OdometryResult ComputeOdometryResultPointToPlane(const Tensor &source_vertex_map, const Tensor &target_vertex_map, const Tensor &target_normal_map, const Tensor &intrinsics, const Tensor &init_source_to_target, const float depth_outlier_trunc, const float depth_huber_delta)
Estimates the 4x4 rigid transformation T from source to target, with inlier rmse and fitness...
Definition: RGBDOdometry.cpp:411
OdometryResult(const core::Tensor &transformation=core::Tensor::Eye(4, core::Float64, core::Device("CPU:0")), double inlier_rmse=0.0, double fitness=0.0)
Constructor for the odometry result.
Definition: RGBDOdometry.h:86
OdometryConvergenceCriteria(int max_iteration, double relative_rmse=1e-6, double relative_fitness=1e-6)
Constructor for the convergence criteria, where we stop iterations once the criteria are met...
Definition: RGBDOdometry.h:60
OdometryResult ComputeOdometryResultHybrid(const Tensor &source_depth, const Tensor &target_depth, const Tensor &source_intensity, const Tensor &target_intensity, const Tensor &target_depth_dx, const Tensor &target_depth_dy, const Tensor &target_intensity_dx, const Tensor &target_intensity_dy, const Tensor &source_vertex_map, const Tensor &intrinsics, const Tensor &init_source_to_target, const float depth_outlier_trunc, const float depth_huber_delta, const float intensity_huber_delta)
Estimates the 4x4 rigid transformation T from source to target, with inlier rmse and fitness...
Definition: RGBDOdometry.cpp:472
double relative_rmse_
Definition: RGBDOdometry.h:72
Definition: RGBDOdometry.h:49
Definition: PinholeCameraIntrinsic.cpp:35
RGBDImage A pair of color and depth images.
Definition: RGBDImage.h:40
const Dtype Float64
Definition: Dtype.cpp:62
static Tensor Eye(int64_t n, Dtype dtype, const Device &device)
Create an identity matrix of size n x n.
Definition: Tensor.cpp:392
OdometryResult RGBDOdometryMultiScale(const RGBDImage &source, const RGBDImage &target, const Tensor &intrinsics, const Tensor &init_source_to_target, const float depth_scale, const float depth_max, const std::vector< OdometryConvergenceCriteria > &criteria, const Method method, const OdometryLossParams ¶ms)
Create an RGBD image pyramid given the original source and target RGBD images, and perform hierarchic...
Definition: RGBDOdometry.cpp:75
Method
Definition: RGBDOdometry.h:42
double relative_fitness_
Definition: RGBDOdometry.h:75
Definition: RGBDOdometry.h:106
float intensity_huber_delta_
Definition: RGBDOdometry.h:137
float depth_outlier_trunc_
Depth difference threshold used to filter projective associations.
Definition: RGBDOdometry.h:135
OdometryLossParams(float depth_outlier_trunc=0.07, float depth_huber_delta=0.05, float intensity_huber_delta=0.1)
Constructor for the odometry loss function.
Definition: RGBDOdometry.h:116