DevCalib: Homography-based device calibration

This upload contains the implementation of the calibration methodology, test images, and data sets reported in the paper "Are camera, projector, and camera-projector calibration different?" of Applied Optics. The following are the Matlab functions constructed. * DevCalib. This function estimates the intrinsic and extrinsic parameters of the device (camera or projector) given as input sets of point correspondences between the reference plane (rho) and the device image/slide plane (mu). The calibration employs the homography-based method. * hom. This function implements the homogeneous coordinate operator for the particular base s = 1. This function receives a matrix of size NxK where each column represents the Cartesian coordinates of points in the N-dimensional space. The output is a matrix of size (N+1)xK, where each column is the homogeneous coordinates of the input points. * ihom. This function implements the inverse homogeneous coordinate operator for the particular base s = 1. This function receives a matrix of size (N+1)xK, where each column is the homogeneous coordinates of a point. The output is a matrix of size NxK with the corresponding cartesian coordinates. We also included three scripts for testing the DevCalib function to calibrate cameras and projectors, as described below. 1. example_cam. Test script for camera calibration. 2. example_proj. Test script for projector calibration. 3. example_camproj. Test script for camera-projector calibration. The folders Cam, Proj, and Camproj in this upload contain the corresponding test images and data sets for running the test scripts.