# foxglove_msgs/CameraCalibration # Camera calibration parameters # Generated by https://github.com/foxglove/schemas # Timestamp of calibration data time timestamp # Frame of reference for the camera. The origin of the frame is the optical center of the camera. +x points to the right in the image, +y points down, and +z points into the plane of the image. string frame_id # Image width uint32 width # Image height uint32 height # Name of distortion model # # Supported parameters: `plumb_bob` (k1, k2, p1, p2, k3) and `rational_polynomial` (k1, k2, p1, p2, k3, k4, k5, k6). Distortion models are based on [OpenCV's](https://docs.opencv.org/2.4/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.html) [pinhole camera model](https://en.wikipedia.org/wiki/Distortion_%28optics%29#Software_correction). This is the same [implementation used by ROS](http://docs.ros.org/en/diamondback/api/image_geometry/html/c++/pinhole__camera__model_8cpp_source.html) string distortion_model # Distortion parameters float64[] D # Intrinsic camera matrix (3x3 row-major matrix) # # A 3x3 row-major matrix for the raw (distorted) image. # # Projects 3D points in the camera coordinate frame to 2D pixel coordinates using the focal lengths (fx, fy) and principal point (cx, cy). # # ``` # [fx 0 cx] # K = [ 0 fy cy] # [ 0 0 1] # ``` float64[9] K # Rectification matrix (stereo cameras only, 3x3 row-major matrix) # # A rotation matrix aligning the camera coordinate system to the ideal stereo image plane so that epipolar lines in both stereo images are parallel. float64[9] R # Projection/camera matrix (3x4 row-major matrix) # # ``` # [fx' 0 cx' Tx] # P = [ 0 fy' cy' Ty] # [ 0 0 1 0] # ``` # # By convention, this matrix specifies the intrinsic (camera) matrix of the processed (rectified) image. That is, the left 3x3 portion is the normal camera intrinsic matrix for the rectified image. # # It projects 3D points in the camera coordinate frame to 2D pixel coordinates using the focal lengths (fx', fy') and principal point (cx', cy') - these may differ from the values in K. # # For monocular cameras, Tx = Ty = 0. Normally, monocular cameras will also have R = the identity and P[1:3,1:3] = K. # # For a stereo pair, the fourth column [Tx Ty 0]' is related to the position of the optical center of the second camera in the first camera's frame. We assume Tz = 0 so both cameras are in the same stereo image plane. The first camera always has Tx = Ty = 0. For the right (second) camera of a horizontal stereo pair, Ty = 0 and Tx = -fx' * B, where B is the baseline between the cameras. # # Given a 3D point [X Y Z]', the projection (x, y) of the point onto the rectified image is given by: # # ``` # [u v w]' = P * [X Y Z 1]' # x = u / w # y = v / w # ``` # # This holds for both images of a stereo pair. float64[12] P