ReadMe.txt

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% this toolbox is an addition to the toolbox provided by the authors of
% CEPPnP and OPnP (see below)
% we extended it to show the use of MLPnP
% if you use this file it would be neat to cite our paper:
%
% @INPROCEEDINGS {mlpnp2016,
%    author    = "Urban, S.; Leitloff, J.; Hinz, S.",
%    title     = "MLPNP - A REAL-TIME MAXIMUM LIKELIHOOD SOLUTION TO THE PERSPECTIVE-N-POINT PROBLEM.",
%    booktitle = "ISPRS Annals of Photogrammetry, Remote Sensing \& Spatial Information Sciences",
%    year      = "2016",
%    volume    = "3",
%    pages     = "131-138"}
%
% Copyright (C) <2016>  <Steffen Urban>

%     Steffen Urban email: urbste@googlemail.com
%     Copyright (C) 2016  Steffen Urban
% 
%     This program is free software; you can redistribute it and/or modify
%     it under the terms of the GNU General Public License as published by
%     the Free Software Foundation; either version 2 of the License, or
%     (at your option) any later version.
% 
%     This program is distributed in the hope that it will be useful,
%     but WITHOUT ANY WARRANTY; without even the implied warranty of
%     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
%     GNU General Public License for more details.
% 
%     You should have received a copy of the GNU General Public License along
%     with this program; if not, write to the Free Software Foundation, Inc.,
%     51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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% 28.06.2016 Steffen Urban

%
% How to initialize: 
%	- enter inside the 'PnP_Toolbox' folder
%   - run IniToolbox.m procedure
%
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%
% Scripts to produce the synthetic results:
% main_ordinary_3d.m        
% main_planar.m          
% main_ordinary_3d_sigma.m   
% main_planar_sigma.m        
% main_ordinary_3d_time.m    
% main_planar_time.m	   

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%
% Acknowledgements
% This toolbox is based on the toolbox provided in:

% Luis Ferraz, Xavier Binefa, Francesc Moreno-Noguer.
% Leveraging Feature Uncertainty in the PnP Problem. 
% In Proceedings of BMVC, 2014. 

% Luis Ferraz, Xavier Binefa, Francesc Moreno-Noguer.
% Very Fast Solution to the PnP Problem with Algebraic Outlier Rejection. 
% In Proceedings of CVPR, 2014.
%
% Y. Zheng, Y. Kuang, S. Sugimoto, K. Astro ?m, and M. Oku-
% tomi. Revisiting the pnp problem: A fast, general and opti-
% mal solution. In ICCV, pages 4321?4328, 2013.
%
% Y. Zheng, S. Sugimoto, and M. Okutomi. Aspnp: An accu- 
% rate and scalable solution to the perspective-n-point problem. 
% Trans. on Information and Systems, 96(7):1525?1535, 2013.
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