Copyright (c) 2006-2013 Mitsubishi Electric Research Laboratories (MERL). All Rights Reserved. Permission to use, copy and modify this software and its documentation without fee for educational, research and non-profit purposes, is hereby granted, provided that the above copyright notice and the following three paragraphs appear in all copies. To request permission to incorporate this software
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Cambridge, MA 02139 MERL specifically disclaims any warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. the software provided hereunder is on an "as is" basis, and MERL has no obligations to provide maintenance, support, updates, enhancements or modifications. Extrinsic Camera Calibration without Direct View Calibration for Underwater Imaging Systems Compute Mirror Reflection Point for General Catadioptric Systems CVPR 2011 paper Matlab code for Computing the mirror reflection point given the eye and point light source locations Compute Mirror Reflection Point for Axial Systems ECCV 2010 paper Matlab code for Computing the mirror reflection point given the eye and point light source location (Alhazen problem and beyond) Analytical forward projection for non-central catadioptric cameras Analytical forward projection for spherical glass ball Forward Projection ToolBox CVPR 2011 and ECCV 2010 paper contains forward projection solutions for general catadioptric systems for both axial and off-axis case Matlab Code Robust Surface Reconstruction from 2D Gradient Fields (ECCV 2006 paper) Matlab code for A fast 2D Poisson Solver in Matlab using Neumann Boundary conditions Implementation of Frankot-Chellappa Algorithm Robust surface reconstruction using M-estimators Anisotropic surface reconstruction Illumination Invariant Image Differencing, Edge Suppression (CVPR 2006 paper) Matlab code and images for Removing shadows using flash/no-flash images Removing glass reflections using flash/no-flash images Background subtraction in case of strong illumination changes C Implementation (.NET build) of 2D Poisson Solver using Neumann Boundary Conditions C Code Based on a direct analytical solution using sine transforms Single iteration, no magic numbers, no convergence issues Extremely fast. Couple of seconds for 1M pixel image C++ Implementation of Poisson Solver using Successive Over Relaxation (SOR) (Written by Prof. Jack Tumblin, Northwestern University) C++ Code |