monado/src/xrt/auxiliary/tracking/t_calibration_opencv.hpp

297 lines
9.1 KiB
C++

// Copyright 2019-2020, Collabora, Ltd.
// SPDX-License-Identifier: BSL-1.0
/*!
* @file
* @brief OpenCV calibration helpers.
* @author Pete Black <pblack@collabora.com>
* @author Jakob Bornecrantz <jakob@collabora.com>
* @author Ryan Pavlik <ryan.pavlik@collabora.com>
* @ingroup aux_tracking
*/
#pragma once
#ifndef __cplusplus
#error "This header is C++-only."
#endif
#include "tracking/t_tracking.h"
#include <opencv2/opencv.hpp>
#include <sys/stat.h>
namespace xrt::auxiliary::tracking {
/*!
* @brief Essential calibration data wrapped for C++.
*
* Just like the cv::Mat that it holds, this object does not own all the memory
* it points to!
*/
struct CameraCalibrationWrapper
{
t_camera_calibration &base;
xrt_size &image_size_pixels;
const cv::Size image_size_pixels_cv;
cv::Mat_<double> intrinsics_mat;
cv::Mat_<double> distortion_mat;
cv::Mat_<double> distortion_fisheye_mat;
bool &use_fisheye;
CameraCalibrationWrapper(t_camera_calibration &calib)
: base(calib), image_size_pixels(calib.image_size_pixels),
image_size_pixels_cv(calib.image_size_pixels.w, calib.image_size_pixels.h),
intrinsics_mat(3, 3, &calib.intrinsics[0][0]),
distortion_mat(base.distortion_num, 1, &calib.distortion[0]),
distortion_fisheye_mat(4, 1, &calib.distortion_fisheye[0]), use_fisheye(calib.use_fisheye)
{
assert(isDataStorageValid());
}
//! Try to verify nothing was reallocated.
bool
isDataStorageValid() const noexcept
{
return intrinsics_mat.size() == cv::Size(3, 3) &&
(double *)intrinsics_mat.data == &(base.intrinsics[0][0]) &&
distortion_mat.size() == cv::Size(1, base.distortion_num) &&
(double *)distortion_mat.data == &(base.distortion[0]) &&
distortion_fisheye_mat.size() == cv::Size(1, 4) &&
(double *)distortion_fisheye_mat.data == &(base.distortion_fisheye[0]);
}
};
/*!
* @brief Essential stereo calibration data wrapped for C++.
*
* Just like the cv::Mat that it holds, this object does not own (all) the
* memory it points to!
*/
struct StereoCameraCalibrationWrapper
{
t_stereo_camera_calibration *base;
CameraCalibrationWrapper view[2];
cv::Mat_<double> camera_translation_mat;
cv::Mat_<double> camera_rotation_mat;
cv::Mat_<double> camera_essential_mat;
cv::Mat_<double> camera_fundamental_mat;
static t_stereo_camera_calibration *
allocData(uint32_t distortion_num)
{
t_stereo_camera_calibration *data_ptr = NULL;
t_stereo_camera_calibration_alloc(&data_ptr, distortion_num);
return data_ptr;
}
StereoCameraCalibrationWrapper(t_stereo_camera_calibration *stereo)
: base(stereo), view{CameraCalibrationWrapper{stereo->view[0]}, CameraCalibrationWrapper{stereo->view[1]}},
camera_translation_mat(3, 1, &stereo->camera_translation[0]),
camera_rotation_mat(3, 3, &stereo->camera_rotation[0][0]),
camera_essential_mat(3, 3, &stereo->camera_essential[0][0]),
camera_fundamental_mat(3, 3, &stereo->camera_fundamental[0][0])
{
// Correct reference counting.
t_stereo_camera_calibration *temp = NULL;
t_stereo_camera_calibration_reference(&temp, stereo);
assert(isDataStorageValid());
}
StereoCameraCalibrationWrapper(uint32_t distortion_num)
: StereoCameraCalibrationWrapper(allocData(distortion_num))
{
// The function allocData returns with a ref count of one,
// the constructor increments the refcount with one,
// so to correct it we need to decrement the ref count with one.
t_stereo_camera_calibration *tmp = base;
t_stereo_camera_calibration_reference(&tmp, NULL);
}
~StereoCameraCalibrationWrapper()
{
t_stereo_camera_calibration_reference(&base, NULL);
}
bool
isDataStorageValid() const noexcept
{
return camera_translation_mat.size() == cv::Size(1, 3) &&
(double *)camera_translation_mat.data == &base->camera_translation[0] &&
camera_rotation_mat.size() == cv::Size(3, 3) &&
(double *)camera_rotation_mat.data == &base->camera_rotation[0][0] &&
camera_essential_mat.size() == cv::Size(3, 3) &&
(double *)camera_essential_mat.data == &base->camera_essential[0][0] &&
camera_fundamental_mat.size() == cv::Size(3, 3) &&
(double *)camera_fundamental_mat.data == &base->camera_fundamental[0][0] &&
view[0].isDataStorageValid() && view[1].isDataStorageValid();
}
};
/*!
* @brief An x,y pair of matrices for the remap() function.
*
* @see calibration_get_undistort_map
*/
struct RemapPair
{
cv::Mat remap_x;
cv::Mat remap_y;
};
/*!
* @brief Prepare undistortion/normalization remap structures for a rectilinear
* or fisheye image.
*
* @param calib A single camera calibration structure.
* @param rectify_transform_optional A rectification transform to apply, if
* desired.
* @param new_camera_matrix_optional Unlike OpenCV, the default/empty matrix
* here uses the input camera matrix as your output camera matrix.
*/
RemapPair
calibration_get_undistort_map(t_camera_calibration &calib,
cv::InputArray rectify_transform_optional = cv::noArray(),
cv::Mat new_camera_matrix_optional = cv::Mat());
/*!
* @brief Rectification, rotation, projection data for a single view in a stereo
* pair.
*
* @see StereoRectificationMaps
*/
struct ViewRectification
{
RemapPair rectify;
cv::Mat rotation_mat = {};
cv::Mat projection_mat = {};
};
/*!
* @brief Rectification maps as well as transforms for a stereo camera.
*
* Computed in the constructor from saved calibration data.
*/
struct StereoRectificationMaps
{
ViewRectification view[2];
//! Disparity and position to camera world coordinates.
cv::Mat disparity_to_depth_mat = {};
/*!
* @brief Constructor - produces rectification data for a stereo camera
* based on calibration data.
*/
StereoRectificationMaps(t_stereo_camera_calibration *data);
};
/*!
* @brief Provides cached, precomputed access to normalized image coordinates
* from original, distorted ones.
*
* Populates internal structures using cv::undistortPoints() and performs
* subpixel sampling to interpolate for each query. Essentially, this class lets
* you perform cv::undistortPoints() while caching the initial setup work
* required for that function.
*/
class NormalizedCoordsCache
{
public:
/*!
* @brief Set up the precomputed cache for a given camera.
*
* @param size Size of the image in pixels
* @param intrinsics Camera intrinsics matrix
* @param distortion Distortion coefficients
*
* This overload applies no rectification (`R`) and uses a
* normalized/identity new camera matrix (`P`).
*/
NormalizedCoordsCache(cv::Size size, const cv::Matx33d &intrinsics, const cv::Matx<double, 5, 1> &distortion);
/*!
* @brief Set up the precomputed cache for a given camera (overload for
* rectification and new camera matrix)
*
* @param size Size of the image in pixels
* @param intrinsics Camera intrinsics matrix
* @param distortion Distortion coefficients
* @param rectification Rectification matrix - corresponds to parameter
* `R` to cv::undistortPoints().
* @param new_camera_matrix A 3x3 new camera matrix - corresponds to
* parameter `P` to cv::undistortPoints().
*/
NormalizedCoordsCache(cv::Size size,
const cv::Matx33d &intrinsics,
const cv::Matx<double, 5, 1> &distortion,
const cv::Matx33d &rectification,
const cv::Matx33d &new_camera_matrix);
/*!
* @brief Set up the precomputed cache for a given camera. (overload for
* rectification and new projection matrix)
*
* @param size Size of the image in pixels
* @param intrinsics Camera intrinsics matrix
* @param distortion Distortion coefficients
* @param rectification Rectification matrix - corresponds to parameter
* `R` to cv::undistortPoints().
* @param new_projection_matrix A 3x4 new projection matrix -
* corresponds to parameter `P` to cv::undistortPoints().
*/
NormalizedCoordsCache(cv::Size size,
const cv::Matx33d &intrinsics,
const cv::Matx<double, 5, 1> &distortion,
const cv::Matx33d &rectification,
const cv::Matx<double, 3, 4> &new_projection_matrix);
/*!
* @brief Set up the precomputed cache for a given camera.
*
* Less-strongly-typed overload.
*
* @overload
*
* This overload applies no rectification (`R`) and uses a
* normalized/identity new camera matrix (`P`).
*/
NormalizedCoordsCache(cv::Size size, const cv::Mat &intrinsics, const cv::Mat &distortion);
/*!
* @brief Get normalized, undistorted coordinates from a point in the
* original (distorted, etc.) image.
*
* @param origCoords Image coordinates in original image
*
* @return Corresponding undistorted coordinates in a "normalized" image
*/
cv::Vec2f
getNormalizedImageCoords(cv::Point2f origCoords) const;
/*!
* @brief Get normalized vector in the camera-space direction
* corresponding to the original (distorted, etc.) image coordinates.
*
* Note that the Z component will be negative by convention.
*/
cv::Vec3f
getNormalizedVector(cv::Point2f origCoords) const;
private:
cv::Mat_<float> cacheX_;
cv::Mat_<float> cacheY_;
};
} // namespace xrt::auxiliary::tracking