/******************************************************************************
 * Author:   Laurent Kneip                                                    *
 * Contact:  kneip.laurent@gmail.com                                          *
 * License:  Copyright (c) 2013 Laurent Kneip, ANU. All rights reserved.      *
 *                                                                            *
 * Redistribution and use in source and binary forms, with or without         *
 * modification, are permitted provided that the following conditions         *
 * are met:                                                                   *
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 *   notice, this list of conditions and the following disclaimer.            *
 * * Redistributions in binary form must reproduce the above copyright        *
 *   notice, this list of conditions and the following disclaimer in the      *
 *   documentation and/or other materials provided with the distribution.     *
 * * Neither the name of ANU nor the names of its contributors may be         *
 *   used to endorse or promote products derived from this software without   *
 *   specific prior written permission.                                       *
 *                                                                            *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"*
 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE  *
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 * ARE DISCLAIMED. IN NO EVENT SHALL ANU OR THE CONTRIBUTORS BE LIABLE        *
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 * SUCH DAMAGE.                                                               *
 ******************************************************************************/

#include <stdlib.h>
#include <stdio.h>
#include <iostream>
#include <iomanip>
#include <limits.h>
#include <Eigen/Eigen>
#include <opengv/absolute_pose/methods.hpp>
#include <opengv/absolute_pose/CentralAbsoluteAdapter.hpp>
#include <opengv/sac/Ransac.hpp>
#include <opengv/sac/Lmeds.hpp>
#include <opengv/sac_problems/absolute_pose/AbsolutePoseSacProblem.hpp>
#include <sstream>
#include <fstream>

#include "random_generators.hpp"
#include "experiment_helpers.hpp"
#include "time_measurement.hpp"


using namespace std;
using namespace Eigen;
using namespace opengv;

int main( int argc, char** argv )
{
  //initialize random seed
  initializeRandomSeed();
  
  //set experiment parameters
  double noise = 0.0;
  double outlierFraction = 0.1;
  size_t numberPoints = 100;

  //create a random viewpoint pose
  translation_t position = generateRandomTranslation(2.0);
  rotation_t rotation = generateRandomRotation(0.5);
  
  //create a fake central camera
  translations_t camOffsets;
  rotations_t camRotations;
  generateCentralCameraSystem( camOffsets, camRotations );
  
  //derive correspondences based on random point-cloud
  bearingVectors_t bearingVectors;
  points_t points;
  std::vector<int> camCorrespondences; //unused in the central case!
  Eigen::MatrixXd gt(3,numberPoints);
  generateRandom2D3DCorrespondences(
      position, rotation, camOffsets, camRotations, numberPoints, noise, outlierFraction,
      bearingVectors, points, camCorrespondences, gt );

  //print the experiment characteristics
  printExperimentCharacteristics(
      position, rotation, noise, outlierFraction );

  //create a central absolute adapter
  absolute_pose::CentralAbsoluteAdapter adapter(
      bearingVectors,
      points,
      rotation);

  //Create an AbsolutePoseSac problem and Ransac
  //The method can be set to KNEIP, GAO or EPNP
  sac::Ransac<sac_problems::absolute_pose::AbsolutePoseSacProblem> ransac;
  std::shared_ptr<
      sac_problems::absolute_pose::AbsolutePoseSacProblem> absposeproblem_ptr(
      new sac_problems::absolute_pose::AbsolutePoseSacProblem(
      adapter,
      sac_problems::absolute_pose::AbsolutePoseSacProblem::KNEIP));
  ransac.sac_model_ = absposeproblem_ptr;
  ransac.threshold_ = 1.0 - cos(atan(sqrt(2.0)*0.5/800.0));
  ransac.max_iterations_ = 50;

  //Run the experiment
  struct timeval tic;
  struct timeval toc;
  gettimeofday( &tic, 0 );
  ransac.computeModel();
  gettimeofday( &toc, 0 );
  double ransac_time = TIMETODOUBLE(timeval_minus(toc,tic));

  //print the results
  std::cout << "the ransac results is: " << std::endl;
  std::cout << ransac.model_coefficients_ << std::endl << std::endl;
  std::cout << "Ransac needed " << ransac.iterations_ << " iterations and ";
  std::cout << ransac_time << " seconds" << std::endl << std::endl;
  std::cout << "the number of inliers is: " << ransac.inliers_.size();
  std::cout << std::endl << std::endl;
  std::cout << "the found inliers are: " << std::endl;
  for(size_t i = 0; i < ransac.inliers_.size(); i++)
    std::cout << ransac.inliers_[i] << " ";
  std::cout << std::endl << std::endl;

  // Create LMedS
  sac::Lmeds<sac_problems::absolute_pose::AbsolutePoseSacProblem> lmeds;
  lmeds.sac_model_ = absposeproblem_ptr;
  lmeds.threshold_ = 1.0 - cos(atan(sqrt(2.0)*0.5/800.0));
  lmeds.max_iterations_ = 50;

  //Run the LMedS experiment
  gettimeofday( &tic, 0 );
  lmeds.computeModel();
  gettimeofday( &toc, 0 );
  double lmeds_time = TIMETODOUBLE(timeval_minus(toc,tic));

  //print the results
  std::cout << "the lmeds results is: " << std::endl;
  std::cout << lmeds.model_coefficients_ << std::endl << std::endl;
  std::cout << "Lmeds needed " << lmeds.iterations_ << " iterations and ";
  std::cout << lmeds_time << " seconds" << std::endl << std::endl;
  std::cout << "the number of inliers is: " << lmeds.inliers_.size();
  std::cout << std::endl << std::endl;
  std::cout << "the found inliers are: " << std::endl;
  for(size_t i = 0; i < lmeds.inliers_.size(); i++)
    std::cout << lmeds.inliers_[i] << " ";
  std::cout << std::endl << std::endl;
}