Extrinsic Camera Calibration Using Multiple Reflections
نویسندگان
چکیده
This paper presents a method for determining the six-degreeof-freedom (DOF) transformation between a camera and a base frame of interest, while concurrently estimating the 3D base-frame coordinates of unknown point features in the scene. The camera observes the reflections of fiducial points, whose base-frame coordinates are known, and reconstruction points, whose base-frame coordinates are unknown. In this paper, we examine the case in which, due to visibility constraints, none of the points are directly viewed by the camera, but instead are seen via reflection in multiple planar mirrors. Exploiting these measurements, we analytically compute the camera-to-base transformation and the 3D base-frame coordinates of the unknown reconstruction points, without a priori knowledge of the mirror sizes, motions, or placements with respect to the camera. Subsequently, we refine the analytical solution using a maximum-likelihood estimator (MLE), to obtain high-accuracy estimates of the camera-to-base transformation, the mirror configurations for each image, and the 3D coordinates of the reconstruction points in the base frame. We validate the accuracy and correctness of our method with simulations and real-world experiments.
منابع مشابه
AprilTag array-aided extrinsic calibration of camera–laser multi-sensor system
This paper presents a new algorithm for extrinsically calibrating a multi-sensor system including multiple cameras and a 2D laser scanner. On the basis of the camera pose estimation using AprilTag, we design an AprilTag array as the calibration target and employ a nonlinear optimization to calculate the single-camera extrinsic parameters when multiple tags are in the field of view of the camera...
متن کامل[hal-00464911, v1] Influence of Intrinsic Parameters over Extrinsic Calibration between a Multi-Layer Lidar and a Camera
In this paper, we present an extensive study about the influence and the behavior of the intrinsic camera calibration imprecisions and their propagation into the extrinsic calibration between a camera and a multi-layer lidar. Usually, the extrinsic calibration process involves the pose estimation of a reference object in the Cartesian frame of each sensor. From this fact, it is necessary to kno...
متن کاملReflectance Intensity Assisted Automatic and Accurate Extrinsic Calibration of 3D LiDAR and Panoramic Camera Using a Printed Chessboard
This paper presents a novel method for fully automatic and convenient extrinsic calibration of a 3D LiDAR and a panoramic camera with a normally printed chessboard. The proposed method is based on the 3D corner estimation of the chessboard from the sparse point cloud generated by one frame scan of the LiDAR. To estimate the corners, we formulate a full-scale model of the chessboard and fit it t...
متن کاملWand-based Multiple Camera Studio Calibration
To meet the demands of the many emerging multiple camera studio systems in entertainment content production, a novel wand-based system is presented for calibration of both intrinsic (focal length,lens distortion) and extrinsic (position, orientation) parameters of multiple cameras. Full metric calibration is obtained solely from observations of a wand comprising two visible markers at a known f...
متن کاملIndirect Correspondence-Based Robust Extrinsic Calibration of LiDAR and Camera
LiDAR and cameras have been broadly utilized in computer vision and autonomous vehicle applications. However, in order to convert data between the local coordinate systems, we must estimate the rigid body transformation between the sensors. In this paper, we propose a robust extrinsic calibration algorithm that can be implemented easily and has small calibration error. The extrinsic calibration...
متن کامل