Camera Autocalibration and the Calibration Pencil

Camera Autocalibration and Horopter Curves Jos

Head Modeling with Camera Autocalibration and Deformation

A 3D head modeling method from a sequence of 2D images is described. The views from which the input images are acquired are not calibrated. Therefore, an auto-calibration method for a sequence of images with small rotations and translation is developed. For this purpose, we have modified an already existing auto-calibration algorithm to incorporate known aspect ratio and skew values to make it ...

Motion Guided LIDAR-camera Autocalibration and Accelerated Depth Super Resolution

In this work we propose a novel motion guided method for automatic and targetless calibration of a LiDAR and camera and use the LiDAR points projected on the image for real-time super-resolution depth estimation. The calibration parameters are estimated by optimizing a cost function that penalizes the difference in the motion vectors obtained from LiDAR and camera data separately. For super-res...

Camera Calibration

where W = [W1,W2,W3] is a world point in the world reference frame, X = [X1, X2, X3] is W reexpressed in the camera’s reference frame, x = [x1, x2] is the projection of X in the canonical camera reference frame, ξ = [ξ1, ξ2] is x re-expressed in the image reference frame. The vector π = [π1, π2] is the principal point in image coordinates, f is the camera’s focal distance, and the diagonal elem...

Camera Calibration

Camera calibration is a necessary step in 3D computer vision in order to extract metric information from 2D images. It has been studied extensively in computer vision and photogrammetry, and even recently new techniques have been proposed. In this chapter, we review the techniques proposed in the literature include those using 3D apparatus (two or three planes orthogonal to each other, or a pla...