All Classes and Interfaces
Class
Description
This is an implementation of the camera calibration method
described in
Z.
Inner class representing a set of parameters for instantiating new objects of type of
Calibrator.A camera model with parameters as specified in Zhang's paper.
This class defines methods for estimating the intrinsic camera parameters from multiple homographies.
This plugin performs Zhang's camera calibration on the pre-calculated corner point data for the M given target views.
This plugin draws the projected X/Y/Z coordinate axes for each of the given camera views.
This class defines methods for estimating the extrinsic camera parameters from multiple homographies.
This class defines methods for estimating the homography (projective) transformation between pairs of 2D point sets.
This class defines ImageJ-related utility methods used for camera calibration.
This class represents the 2D geometric transformation for an image taken with some camera A to an image taken with
another camera B.
Utility math methods used for camera calibration.
Abstract super-class for non-linear optimizers used for final, overall optimization of calibration parameters.
Nonlinear optimizer based on the Levenberg-Marquart method, where the Jacobian matrix is calculated numerically
(i.e., by estimating the first partial derivatives from finite differences).
Opens Zhang's standard calibration images as a stack of RGB images.
This class defines methods for estimating the radial lens distortion parameters
This class represents a special geometric mapping for rectifying (i.e., removing the lens distortion from) an image,
given the associated camera parameters.
This plugin opens an image stack containing the 5 Zhang test images and removes the lens distortion based on the
intrinsic camera parameters estimated by calibration.
This plugin opens an image stack containing the 5 Zhang test images (assumed to be taken with camera A) and
re-renders the images by mapping them to a new camera B.
This class defines methods for converting between Rodrigues rotation vectors and 3D rotation matrices, plus some
related utility methods.
This plugin projects opens an image stack containing the 5 Zhang test images, then outlines the positions of the
observed image points and finally projects the points of the calibration model using the calculated intrinsic camera
parameters (same for all views) and the extrinsic parameters calculated for each view.
This plugin performs interpolation of views, given a sequence of key views.
Instances of this class represent extrinsic camera (view) parameters.
Supplies all numeric data for Zhang's demo calibration test suite.