vpPoseRansac.cpp

/****************************************************************************
 *
 * This file is part of the ViSP software.
 * Copyright (C) 2005 - 2017 by Inria. All rights reserved.
 *
 * This software 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.
 * See the file LICENSE.txt at the root directory of this source
 * distribution for additional information about the GNU GPL.
 *
 * For using ViSP with software that can not be combined with the GNU
 * GPL, please contact Inria about acquiring a ViSP Professional
 * Edition License.
 *
 * See http://visp.inria.fr for more information.
 *
 * This software was developed at:
 * Inria Rennes - Bretagne Atlantique
 * Campus Universitaire de Beaulieu
 * 35042 Rennes Cedex
 * France
 *
 * If you have questions regarding the use of this file, please contact
 * Inria at visp@inria.fr
 *
 * This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
 * WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
 *
 * Description:
 * Pose computation.
 *
 * Authors:
 * Eric Marchand
 * Aurelien Yol
 * Souriya Trinh
 *
 *****************************************************************************/

#include <algorithm> // std::count
#include <cmath>     // std::fabs
#include <float.h>   // DBL_MAX
#include <iostream>
#include <limits> // numeric_limits
#include <map>
#include <stdlib.h>

#include <visp3/core/vpColVector.h>
#include <visp3/core/vpMath.h>
#include <visp3/core/vpRansac.h>
#include <visp3/vision/vpPose.h>
#include <visp3/vision/vpPoseException.h>

#if defined(VISP_HAVE_CPP11_COMPATIBILITY)
#include <unordered_map>
#endif

#if defined(VISP_HAVE_OPENMP)
#include <omp.h>
#endif

#define eps 1e-6

namespace
{
// For std::map<vpPoint>
struct ComparePointDuplicate {
  bool operator()(const vpPoint &point1, const vpPoint &point2) const
  {
    if (point1.oP[0] < point2.oP[0])
      return true;
    if (point1.oP[0] > point2.oP[0])
      return false;

    if (point1.oP[1] < point2.oP[1])
      return true;
    if (point1.oP[1] > point2.oP[1])
      return false;

    if (point1.oP[2] < point2.oP[2])
      return true;
    if (point1.oP[2] > point2.oP[2])
      return false;

    if (point1.p[0] < point2.p[0])
      return true;
    if (point1.p[0] > point2.p[0])
      return false;

    if (point1.p[1] < point2.p[1])
      return true;
    if (point1.p[1] > point2.p[1])
      return false;

    return false;
  }
};

// For std::map<vpPoint>
struct ComparePointAlmostDuplicate {
  bool operator()(const vpPoint &point1, const vpPoint &point2) const
  {
    if (point1.oP[0] - point2.oP[0] < -eps)
      return true;
    if (point1.oP[0] - point2.oP[0] > eps)
      return false;

    if (point1.oP[1] - point2.oP[1] < -eps)
      return true;
    if (point1.oP[1] - point2.oP[1] > eps)
      return false;

    if (point1.oP[2] - point2.oP[2] < -eps)
      return true;
    if (point1.oP[2] - point2.oP[2] > eps)
      return false;

    if (point1.p[0] - point2.p[0] < -eps)
      return true;
    if (point1.p[0] - point2.p[0] > eps)
      return false;

    if (point1.p[1] - point2.p[1] < -eps)
      return true;
    if (point1.p[1] - point2.p[1] > eps)
      return false;

    return false;
  }
};

// For std::map<vpPoint>
struct CompareObjectPointDegenerate {
  bool operator()(const vpPoint &point1, const vpPoint &point2) const
  {
    if (point1.oP[0] - point2.oP[0] < -eps)
      return true;
    if (point1.oP[0] - point2.oP[0] > eps)
      return false;

    if (point1.oP[1] - point2.oP[1] < -eps)
      return true;
    if (point1.oP[1] - point2.oP[1] > eps)
      return false;

    if (point1.oP[2] - point2.oP[2] < -eps)
      return true;
    if (point1.oP[2] - point2.oP[2] > eps)
      return false;

    return false;
  }
};

// For std::map<vpPoint>
struct CompareImagePointDegenerate {
  bool operator()(const vpPoint &point1, const vpPoint &point2) const
  {
    if (point1.p[0] - point2.p[0] < -eps)
      return true;
    if (point1.p[0] - point2.p[0] > eps)
      return false;

    if (point1.p[1] - point2.p[1] < -eps)
      return true;
    if (point1.p[1] - point2.p[1] > eps)
      return false;

    return false;
  }
};

// std::find_if
struct FindDegeneratePoint {
  explicit FindDegeneratePoint(const vpPoint &pt) : m_pt(pt) {}

  bool operator()(const vpPoint &pt)
  {
    return ((std::fabs(m_pt.oP[0] - pt.oP[0]) < eps && std::fabs(m_pt.oP[1] - pt.oP[1]) < eps &&
             std::fabs(m_pt.oP[2] - pt.oP[2]) < eps) ||
            (std::fabs(m_pt.p[0] - pt.p[0]) < eps && std::fabs(m_pt.p[1] - pt.p[1]) < eps));
  }

  vpPoint m_pt;
};

#if defined(VISP_HAVE_CPP11_COMPATIBILITY)
// For unordered_map<vpPoint>
struct HashDuplicate {
  std::size_t operator()(const vpPoint &point) const
  {
    using std::size_t;
    using std::hash;

    size_t res = 17;
    res = res * 31 + hash<double>()(point.oP[0]);
    res = res * 31 + hash<double>()(point.oP[1]);
    res = res * 31 + hash<double>()(point.oP[2]);
    res = res * 31 + hash<double>()(point.p[0]);
    res = res * 31 + hash<double>()(point.p[1]);

    return res;
  }
};

// For unordered_map<vpPoint>
struct ComparePointDuplicateUnorderedMap {
  bool operator()(const vpPoint &point1, const vpPoint &point2) const
  {
    return (std::fabs(point1.oP[0] - point2.oP[0]) < std::numeric_limits<double>::epsilon() &&
            std::fabs(point1.oP[1] - point2.oP[1]) < std::numeric_limits<double>::epsilon() &&
            std::fabs(point1.oP[2] - point2.oP[2]) < std::numeric_limits<double>::epsilon() &&
            std::fabs(point1.p[0] - point2.p[0]) < std::numeric_limits<double>::epsilon() &&
            std::fabs(point1.p[1] - point2.p[1]) < std::numeric_limits<double>::epsilon());
  }
};
#endif
}

bool vpPose::RansacFunctor::poseRansacImpl()
{
  unsigned int size = (unsigned int)m_listOfUniquePoints.size();
  int nbTrials = 0;
  unsigned int nbMinRandom = 4;

#if defined(_WIN32) && (defined(_MSC_VER) || defined(__MINGW32__))
  srand(m_initial_seed);
#endif

  vpPoint p; // Point used to project using the estimated pose

  bool foundSolution = false;
  while (nbTrials < m_ransacMaxTrials && m_nbInliers < (unsigned int)m_ransacNbInlierConsensus) {
    // Hold the list of the index of the inliers (points in the consensus set)
    std::vector<unsigned int> cur_consensus;
    // Hold the list of the index of the outliers
    std::vector<unsigned int> cur_outliers;
    // Hold the list of the index of the points randomly picked
    std::vector<unsigned int> cur_randoms;
    // Hold the list of the current inliers points to avoid to add a
    // degenerate point if the flag is set
    std::vector<vpPoint> cur_inliers;

    vpHomogeneousMatrix cMo_lagrange, cMo_dementhon;
    // Use a temporary variable because if not, the cMo passed in parameters
    // will be modified when
    // we compute the pose for the minimal sample sets but if the pose is not
    // correct when we pass a function pointer we do not want to modify the
    // cMo passed in parameters
    vpHomogeneousMatrix cMo_tmp;

    // Vector of used points, initialized at false for all points
    std::vector<bool> usedPt(size, false);

    vpPose poseMin;
    for (unsigned int i = 0; i < nbMinRandom;) {
      if ((size_t)std::count(usedPt.begin(), usedPt.end(), true) == usedPt.size()) {
        // All points was picked once, break otherwise we stay in an infinite
        // loop
        break;
      }

// Pick a point randomly
#if defined(_WIN32) && (defined(_MSC_VER) || defined(__MINGW32__))
      unsigned int r_ = (unsigned int)rand() % size;
#else
      unsigned int r_ = (unsigned int)rand_r(&m_initial_seed) % size;
#endif

      while (usedPt[r_]) {
// If already picked, pick another point randomly
#if defined(_WIN32) && (defined(_MSC_VER) || defined(__MINGW32__))
        r_ = (unsigned int)rand() % size;
#else
        r_ = (unsigned int)rand_r(&m_initial_seed) % size;
#endif
      }
      // Mark this point as already picked
      usedPt[r_] = true;
      vpPoint pt = m_listOfUniquePoints[r_];

      bool degenerate = false;
      if (m_checkDegeneratePoints) {
        if (std::find_if(poseMin.listOfPoints.begin(), poseMin.listOfPoints.end(), FindDegeneratePoint(pt)) !=
            poseMin.listOfPoints.end()) {
          degenerate = true;
        }
      }

      if (!degenerate) {
        poseMin.addPoint(pt);
        cur_randoms.push_back(r_);
        // Increment the number of points picked
        i++;
      }
    }

    if (poseMin.npt < nbMinRandom) {
      nbTrials++;
      continue;
    }

    // Flags set if pose computation is OK
    bool is_valid_lagrange = false;
    bool is_valid_dementhon = false;

    // Set maximum value for residuals
    double r_lagrange = DBL_MAX;
    double r_dementhon = DBL_MAX;

    try {
      poseMin.computePose(vpPose::LAGRANGE, cMo_lagrange);
      r_lagrange = poseMin.computeResidual(cMo_lagrange);
      is_valid_lagrange = true;
    } catch (...) {
    }

    try {
      poseMin.computePose(vpPose::DEMENTHON, cMo_dementhon);
      r_dementhon = poseMin.computeResidual(cMo_dementhon);
      is_valid_dementhon = true;
    } catch (...) {
    }

    // If residual returned is not a number (NAN), set valid to false
    if (vpMath::isNaN(r_lagrange)) {
      is_valid_lagrange = false;
      r_lagrange = DBL_MAX;
    }

    if (vpMath::isNaN(r_dementhon)) {
      is_valid_dementhon = false;
      r_dementhon = DBL_MAX;
    }

    // If at least one pose computation is OK,
    // we can continue, otherwise pick another random set
    if (is_valid_lagrange || is_valid_dementhon) {
      double r;
      if (r_lagrange < r_dementhon) {
        r = r_lagrange;
        cMo_tmp = cMo_lagrange;
      } else {
        r = r_dementhon;
        cMo_tmp = cMo_dementhon;
      }
      r = sqrt(r) / (double)nbMinRandom;

      // Filter the pose using some criterion (orientation angles,
      // translations, etc.)
      bool isPoseValid = true;
      if (m_func != NULL) {
        isPoseValid = m_func(&cMo_tmp);
        if (isPoseValid) {
          m_cMo = cMo_tmp;
        }
      } else {
        // No post filtering on pose, so copy cMo_temp to cMo
        m_cMo = cMo_tmp;
      }

      if (isPoseValid && r < m_ransacThreshold) {
        unsigned int nbInliersCur = 0;
        unsigned int iter = 0;
        for (std::vector<vpPoint>::const_iterator it = m_listOfUniquePoints.begin(); it != m_listOfUniquePoints.end();
             ++it, iter++) {
          p.setWorldCoordinates(it->get_oX(), it->get_oY(), it->get_oZ());
          p.track(m_cMo);

          double d = vpMath::sqr(p.get_x() - it->get_x()) + vpMath::sqr(p.get_y() - it->get_y());
          double error = sqrt(d);
          if (error < m_ransacThreshold) {
            bool degenerate = false;
            if (m_checkDegeneratePoints) {
              if (std::find_if(cur_inliers.begin(), cur_inliers.end(), FindDegeneratePoint(*it)) != cur_inliers.end()) {
                degenerate = true;
              }
            }

            if (!degenerate) {
              // the point is considered as inlier if the error is below the
              // threshold
              nbInliersCur++;
              cur_consensus.push_back(iter);
              cur_inliers.push_back(*it);
            } else {
              cur_outliers.push_back(iter);
            }
          } else {
            cur_outliers.push_back(iter);
          }
        }

        if (nbInliersCur > m_nbInliers) {
          foundSolution = true;
          m_best_consensus = cur_consensus;
          m_nbInliers = nbInliersCur;
        }

        nbTrials++;

        if (nbTrials >= m_ransacMaxTrials) {
          foundSolution = true;
        }
      } else {
        nbTrials++;
      }
    } else {
      nbTrials++;
    }
  }

  return foundSolution;
}

#if defined(VISP_HAVE_PTHREAD) || (defined(_WIN32) && !defined(WINRT_8_0))
vpThread::Return vpPose::poseRansacImplThread(vpThread::Args arg)
{
  vpPose::RansacFunctor *f = reinterpret_cast<vpPose::RansacFunctor *>(arg);
  (*f)();
  return 0;
}
#endif

bool vpPose::poseRansac(vpHomogeneousMatrix &cMo, bool (*func)(vpHomogeneousMatrix *))
{
  // Check only for adding / removing problem
  // Do not take into account problem with element modification here
  if (listP.size() != listOfPoints.size()) {
    std::cerr << "You should not modify vpPose::listP!" << std::endl;
    listOfPoints = std::vector<vpPoint>(listP.begin(), listP.end());
  }

  ransacInliers.clear();
  ransacInlierIndex.clear();

  std::vector<unsigned int> best_consensus;
  unsigned int nbInliers = 0;

  vpHomogeneousMatrix cMo_lagrange, cMo_dementhon;

  if (listOfPoints.size() < 4) {
    // vpERROR_TRACE("Not enough point to compute the pose");
    throw(vpPoseException(vpPoseException::notInitializedError, "Not enough point to compute the pose"));
  }

  std::vector<vpPoint> listOfUniquePoints;
  std::map<size_t, size_t> mapOfUniquePointIndex;

  // Get RANSAC flags
  bool prefilterDuplicatePoints = (ransacFlags & PREFILTER_DUPLICATE_POINTS) != 0;
  bool prefilterAlmostDuplicatePoints = (ransacFlags & PREFILTER_ALMOST_DUPLICATE_POINTS) != 0;
  bool prefilterDegeneratePoints = (ransacFlags & PREFILTER_DEGENERATE_POINTS) != 0;
  bool checkDegeneratePoints = (ransacFlags & CHECK_DEGENERATE_POINTS) != 0;

  if (prefilterDuplicatePoints || prefilterAlmostDuplicatePoints || prefilterDegeneratePoints) {
    // Prefiltering
    if (prefilterDuplicatePoints) {
#if defined(VISP_HAVE_CPP11_COMPATIBILITY)
      std::unordered_map<vpPoint, size_t, HashDuplicate, ComparePointDuplicateUnorderedMap> filterMap;
      size_t index_pt = 0;
      for (std::vector<vpPoint>::const_iterator it_pt = listOfPoints.begin(); it_pt != listOfPoints.end();
           ++it_pt, index_pt++) {
        if (filterMap.find(*it_pt) == filterMap.end()) {
          filterMap[*it_pt] = index_pt;

          listOfUniquePoints.push_back(*it_pt);
          mapOfUniquePointIndex[listOfUniquePoints.size() - 1] = index_pt;
        }
      }
#else
      std::map<vpPoint, size_t, ComparePointDuplicate> filterMap;
      size_t index_pt = 0;
      for (std::vector<vpPoint>::const_iterator it_pt = listOfPoints.begin(); it_pt != listOfPoints.end();
           ++it_pt, index_pt++) {
        if (filterMap.find(*it_pt) == filterMap.end()) {
          filterMap[*it_pt] = index_pt;

          listOfUniquePoints.push_back(*it_pt);
          mapOfUniquePointIndex[listOfUniquePoints.size() - 1] = index_pt;
        }
      }
#endif
    } else if (prefilterAlmostDuplicatePoints) {
      std::map<vpPoint, size_t, ComparePointAlmostDuplicate> filterMap;
      size_t index_pt = 0;
      for (std::vector<vpPoint>::const_iterator it_pt = listOfPoints.begin(); it_pt != listOfPoints.end();
           ++it_pt, index_pt++) {
        if (filterMap.find(*it_pt) == filterMap.end()) {
          filterMap[*it_pt] = index_pt;

          listOfUniquePoints.push_back(*it_pt);
          mapOfUniquePointIndex[listOfUniquePoints.size() - 1] = index_pt;
        }
      }
    } else {
      // Remove other degenerate object points
      std::map<vpPoint, size_t, CompareObjectPointDegenerate> filterObjectPointMap;
      size_t index_pt = 0;
      for (std::vector<vpPoint>::const_iterator it_pt = listOfPoints.begin(); it_pt != listOfPoints.end();
           ++it_pt, index_pt++) {
        if (filterObjectPointMap.find(*it_pt) == filterObjectPointMap.end()) {
          filterObjectPointMap[*it_pt] = index_pt;
        }
      }

      std::map<vpPoint, size_t, CompareImagePointDegenerate> filterImagePointMap;
      for (std::map<vpPoint, size_t>::const_iterator it = filterObjectPointMap.begin();
           it != filterObjectPointMap.end(); ++it) {
        if (filterImagePointMap.find(it->first) == filterImagePointMap.end()) {
          filterImagePointMap[it->first] = it->second;

          listOfUniquePoints.push_back(it->first);
          mapOfUniquePointIndex[listOfUniquePoints.size() - 1] = it->second;
        }
      }
    }
  } else {
    // No prefiltering
    listOfUniquePoints = listOfPoints;

    size_t index_pt = 0;
    for (std::vector<vpPoint>::const_iterator it_pt = listOfPoints.begin(); it_pt != listOfPoints.end();
         ++it_pt, index_pt++) {
      mapOfUniquePointIndex[index_pt] = index_pt;
    }
  }

  unsigned int size = (unsigned int)listOfUniquePoints.size();
  if (size < 4) {
    throw(vpPoseException(vpPoseException::notInitializedError, "Not enough point to compute the pose"));
  }

  bool executeParallelVersion = useParallelRansac;

#if defined(VISP_HAVE_PTHREAD) || (defined(_WIN32) && !defined(WINRT_8_0))
#define VP_THREAD_OK
  int nbThreads = 1;
#endif

  if (executeParallelVersion) {
#if !defined(VP_THREAD_OK) && !defined(VISP_HAVE_OPENMP)
    executeParallelVersion = false;
    std::cerr << "Pthread or WIN32 API or OpenMP is needed to use the "
                 "parallel RANSAC version."
              << std::endl;
#elif !defined(VP_THREAD_OK)
// Use OpenMP
#define PARALLEL_RANSAC_OPEN_MP
#elif !defined(VISP_HAVE_OPENMP)
    if (nbParallelRansacThreads <= 0) {
      // Cannot get the number of CPU threads so use the sequential mode
      executeParallelVersion = false;
      std::cerr << "OpenMP is needed to get the number of CPU threads so use "
                   "the sequential mode instead."
                << std::endl;
    } else {
      nbThreads = nbParallelRansacThreads;
      if (nbThreads == 1) {
        executeParallelVersion = false;
      }
    }
#elif defined(VP_THREAD_OK) && defined(VISP_HAVE_OPENMP)
    if (nbParallelRansacThreads <= 0) {
      // Use OpenMP to get the number of CPU threads
      nbThreads = omp_get_max_threads();
      if (nbThreads <= 1) {
        nbThreads = 1;
        executeParallelVersion = false;
      }
    }
#endif
  }

  bool foundSolution = false;

  if (executeParallelVersion) {
#if defined(PARALLEL_RANSAC_OPEN_MP)
// List of points picked randomly (minimal sample set, MSS)
// std::vector<unsigned int> best_randoms; // never used

// Section of code run in parallel
// All variables declared before the parallel keyword are shared between the
// team of threads (if private keyword is not used)  Code in parallel section
// are duplicated between the team of threads
#pragma omp parallel
    {
#if defined(VISP_HAVE_OPENMP)
      // Set different seeds for each thread in the team, rand() is not thread
      // safe
      unsigned int initial_seed = (unsigned int)omp_get_thread_num(); // same seed each time
      //(unsigned int) (int(time(NULL)) ^ omp_get_thread_num());
      if (omp_get_num_threads() == 1) {
        initial_seed = 0; // Same seed at each run
      }
#else
      unsigned int initial_seed = 0;
#endif

#if defined(_WIN32) && (defined(_MSC_VER) || defined(__MINGW32__))
      srand(initial_seed);
#endif

      unsigned int nbMinRandom = 4;

      // Numbers of points in the best consensus set
      unsigned int nb_best_inliers = 0;

      // True if we found a consensus set with a size >
      // ransacNbInlierConsensus
      bool foundSolutionWithConsensus = false;

      vpPoint p; // Point used to project using the estimated pose

#pragma omp for
      for (int nbTrials = 0; nbTrials < ransacMaxTrials; nbTrials++) {
        // Flag to check if a solution has been founded, used to "cancel" the
        // threads
        if (!foundSolutionWithConsensus) {
          // Hold the list of the index of the inliers (points in the
          // consensus set)
          std::vector<unsigned int> cur_consensus;
          // Hold the list of the index of the outliers
          std::vector<unsigned int> cur_outliers;
          // Hold the list of the index of the points randomly picked
          std::vector<unsigned int> cur_randoms;
          // Hold the list of the current inliers points to avoid to add a
          // degenerate point if the flag is set
          std::vector<vpPoint> cur_inliers;

          vpHomogeneousMatrix cMo_lagrange, cMo_dementhon;
          vpHomogeneousMatrix cMo_tmp;

          // Vector of used points, initialized at false for all points
          std::vector<bool> usedPt(size, false);

          vpPose poseMin;

          for (unsigned int i = 0; i < nbMinRandom;) {
            if ((size_t)std::count(usedPt.begin(), usedPt.end(), true) == usedPt.size()) {
              // All points was picked once, break otherwise we stay in an
              // infinite loop
              break;
            }

// Pick a point randomly
#if defined(_WIN32) && (defined(_MSC_VER) || defined(__MINGW32__))
            unsigned int r_ = (unsigned int)rand() % size;
#else
            unsigned int r_ = (unsigned int)rand_r(&initial_seed) % size;
#endif

            while (usedPt[r_]) {
// If already picked, pick another point randomly
#if defined(_WIN32) && (defined(_MSC_VER) || defined(__MINGW32__))
              r_ = (unsigned int)rand() % size;
#else
              r_ = (unsigned int)rand_r(&initial_seed) % size;
#endif
            }
            // Mark this point as already picked
            usedPt[r_] = true;
            vpPoint pt = listOfUniquePoints[r_];

            bool degenerate = false;
            if (checkDegeneratePoints) {
              if (std::find_if(poseMin.listOfPoints.begin(), poseMin.listOfPoints.end(), FindDegeneratePoint(pt)) !=
                  poseMin.listOfPoints.end()) {
                degenerate = true;
              }
            }

            if (!degenerate) {
              poseMin.addPoint(pt);
              cur_randoms.push_back(r_);
              // Increment the number of points picked
              i++;
            }
          }

          if (poseMin.npt >= nbMinRandom) {
            // Flags set if pose computation is OK
            bool is_valid_lagrange = false;
            bool is_valid_dementhon = false;

            // Set maximum value for residuals
            double r = DBL_MAX;
            double r_lagrange = DBL_MAX;
            double r_dementhon = DBL_MAX;

            try {
              poseMin.computePose(vpPose::LAGRANGE, cMo_lagrange);
              r_lagrange = poseMin.computeResidual(cMo_lagrange);
              is_valid_lagrange = true;
            } catch (...) {
            }

            try {
              poseMin.computePose(vpPose::DEMENTHON, cMo_dementhon);
              r_dementhon = poseMin.computeResidual(cMo_dementhon);
              is_valid_dementhon = true;
            } catch (...) {
            }

            // If residual returned is not a number (NAN), set valid to false
            if (vpMath::isNaN(r_lagrange)) {
              is_valid_lagrange = false;
              r_lagrange = DBL_MAX;
            }

            if (vpMath::isNaN(r_dementhon)) {
              is_valid_dementhon = false;
              r_dementhon = DBL_MAX;
            }

            // If at least one pose computation is OK,
            // we can continue, otherwise pick another random set
            if (is_valid_lagrange || is_valid_dementhon) {
              if (r_lagrange < r_dementhon) {
                r = r_lagrange;
                cMo_tmp = cMo_lagrange;
              } else {
                r = r_dementhon;
                cMo_tmp = cMo_dementhon;
              }
              r = sqrt(r) / (double)nbMinRandom;

              // Filter the pose using some criterion (orientation angles,
              // translations, etc.)
              bool isPoseValid = true;
              if (func != NULL) {
                isPoseValid = func(&cMo_tmp);
              }

              if (isPoseValid && r < ransacThreshold) {
                unsigned int nbInliersCur = 0;
                unsigned int iter = 0;
                for (std::vector<vpPoint>::const_iterator it = listOfUniquePoints.begin();
                     it != listOfUniquePoints.end(); ++it, iter++) {
                  p.setWorldCoordinates(it->get_oX(), it->get_oY(), it->get_oZ());
                  p.track(cMo_tmp);

                  double d = vpMath::sqr(p.get_x() - it->get_x()) + vpMath::sqr(p.get_y() - it->get_y());
                  double error = sqrt(d);
                  if (error < ransacThreshold) {
                    bool degenerate = false;
                    if (checkDegeneratePoints) {
                      if (std::find_if(cur_inliers.begin(), cur_inliers.end(), FindDegeneratePoint(*it)) !=
                          cur_inliers.end()) {
                        degenerate = true;
                      }
                    }

                    if (!degenerate) {
                      // the point is considered as inlier if the error is
                      // below the threshold
                      nbInliersCur++;
                      cur_consensus.push_back(iter);
                      cur_inliers.push_back(*it);
                    } else {
                      cur_outliers.push_back(iter);
                    }
                  } else {
                    cur_outliers.push_back(iter);
                  }
                }

#pragma omp critical(update_best_consensus_set)
                {
                  if (nbInliersCur > nb_best_inliers) {
                    foundSolution = true;
                    best_consensus = cur_consensus;
                    // best_randoms = cur_randoms; // never used
                    nb_best_inliers = nbInliersCur;

                    if (nbInliersCur >= ransacNbInlierConsensus) {
                      foundSolutionWithConsensus = true;
                    }
                  }
                }
              }
            }
          }
        }
      }

      nbInliers = best_consensus.size();
    }
#elif defined(VP_THREAD_OK)
    std::vector<vpThread *> threads((size_t)nbThreads);
    std::vector<RansacFunctor> ransac_func((size_t)nbThreads);

    int splitTrials = ransacMaxTrials / nbThreads;
    for (size_t i = 0; i < (size_t)nbThreads; i++) {
      unsigned int initial_seed = (unsigned int)i; //((unsigned int) time(NULL) ^ i);
      if (i < (size_t)nbThreads - 1) {
        ransac_func[i] = RansacFunctor(cMo, ransacNbInlierConsensus, splitTrials, ransacThreshold, initial_seed,
                                       checkDegeneratePoints, listOfUniquePoints, func);
      } else {
        int maxTrialsRemainder = ransacMaxTrials - splitTrials * (nbThreads - 1);
        ransac_func[i] = RansacFunctor(cMo, ransacNbInlierConsensus, maxTrialsRemainder, ransacThreshold, initial_seed,
                                       checkDegeneratePoints, listOfUniquePoints, func);
      }

      threads[(size_t)i] = new vpThread((vpThread::Fn)poseRansacImplThread, (vpThread::Args)&ransac_func[i]);
    }

    // Get the best pose between the threads
    vpPose final_pose;
    for (std::vector<vpPoint>::const_iterator it = listOfPoints.begin(); it != listOfPoints.end(); ++it) {
      final_pose.addPoint(*it);
    }

    for (size_t i = 0; i < (size_t)nbThreads; i++) {
      threads[i]->join();
      delete threads[i];
    }

    bool successRansac = false;
    size_t best_consensus_size = 0;
    for (size_t i = 0; i < (size_t)nbThreads; i++) {
      if (ransac_func[i].getResult()) {
        successRansac = true;

        if (ransac_func[i].getBestConsensus().size() > best_consensus_size) {
          nbInliers = ransac_func[i].getNbInliers();
          best_consensus = ransac_func[i].getBestConsensus();
          best_consensus_size = ransac_func[i].getBestConsensus().size();
        }
      }
    }

    foundSolution = successRansac;
#endif
  } else {
    // Sequential RANSAC
    RansacFunctor sequentialRansac(cMo, ransacNbInlierConsensus, ransacMaxTrials, ransacThreshold, 0,
                                   checkDegeneratePoints, listOfUniquePoints, func);
    sequentialRansac();
    foundSolution = sequentialRansac.getResult();

    if (foundSolution) {
      nbInliers = sequentialRansac.getNbInliers();
      best_consensus = sequentialRansac.getBestConsensus();
    }
  }

  if (foundSolution) {
    unsigned int nbMinRandom = 4;
    //    std::cout << "Nombre d'inliers " << nbInliers << std::endl ;

    // Display the random picked points
    /*
    std::cout << "Randoms : ";
    for(unsigned int i = 0 ; i < cur_randoms.size() ; i++)
      std::cout << cur_randoms[i] << " ";
    std::cout << std::endl;
    */

    // Display the outliers
    /*
    std::cout << "Outliers : ";
    for(unsigned int i = 0 ; i < cur_outliers.size() ; i++)
      std::cout << cur_outliers[i] << " ";
    std::cout << std::endl;
    */

    // Even if the cardinality of the best consensus set is inferior to
    // ransacNbInlierConsensus,  we want to refine the solution with data in
    // best_consensus and return this pose.  This is an approach used for
    // example in p118 in Multiple View Geometry in Computer Vision, Hartley,
    // R.~I. and Zisserman, A.
    if (nbInliers >= nbMinRandom) // if(nbInliers >= (unsigned)ransacNbInlierConsensus)
    {
      // Refine the solution using all the points in the consensus set and
      // with VVS pose estimation
      vpPose pose;
      for (size_t i = 0; i < best_consensus.size(); i++) {
        vpPoint pt = listOfUniquePoints[best_consensus[i]];

        pose.addPoint(pt);
        ransacInliers.push_back(pt);
      }

      // Update the list of inlier index
      for (std::vector<unsigned int>::const_iterator it_index = best_consensus.begin();
           it_index != best_consensus.end(); ++it_index) {
        ransacInlierIndex.push_back((unsigned int)mapOfUniquePointIndex[*it_index]);
      }

      // Flags set if pose computation is OK
      bool is_valid_lagrange = false;
      bool is_valid_dementhon = false;

      // Set maximum value for residuals
      double r_lagrange = DBL_MAX;
      double r_dementhon = DBL_MAX;

      try {
        pose.computePose(vpPose::LAGRANGE, cMo_lagrange);
        r_lagrange = pose.computeResidual(cMo_lagrange);
        is_valid_lagrange = true;
      } catch (...) {
      }

      try {
        pose.computePose(vpPose::DEMENTHON, cMo_dementhon);
        r_dementhon = pose.computeResidual(cMo_dementhon);
        is_valid_dementhon = true;
      } catch (...) {
      }

      // If residual returned is not a number (NAN), set valid to false
      if (vpMath::isNaN(r_lagrange)) {
        is_valid_lagrange = false;
        r_lagrange = DBL_MAX;
      }

      if (vpMath::isNaN(r_dementhon)) {
        is_valid_dementhon = false;
        r_dementhon = DBL_MAX;
      }

      if (is_valid_lagrange || is_valid_dementhon) {
        if (r_lagrange < r_dementhon) {
          cMo = cMo_lagrange;
        } else {
          cMo = cMo_dementhon;
        }

        pose.setCovarianceComputation(computeCovariance);
        pose.computePose(vpPose::VIRTUAL_VS, cMo);

        // In some rare cases, the final pose could not respect the pose
        // criterion even  if the 4 minimal points picked respect the pose
        // criterion.
        if (func != NULL && !func(&cMo)) {
          return false;
        }

        if (computeCovariance) {
          covarianceMatrix = pose.covarianceMatrix;
        }
      }
    } else {
      return false;
    }
  }

  return foundSolution;
}

int vpPose::computeRansacIterations(double probability, double epsilon, const int sampleSize, int maxIterations)
{
  probability = (std::max)(probability, 0.0);
  probability = (std::min)(probability, 1.0);
  epsilon = (std::max)(epsilon, 0.0);
  epsilon = (std::min)(epsilon, 1.0);

  if (vpMath::nul(epsilon)) {
    // no outliers
    return 1;
  }

  if (maxIterations <= 0) {
    maxIterations = std::numeric_limits<int>::max();
  }

  double logarg, logval, N;
  logarg = -std::pow(1.0 - epsilon, sampleSize);
#ifdef VISP_HAVE_FUNC_LOG1P
  logval = log1p(logarg);
#else
  logval = log(1.0 + logarg);
#endif
  if (vpMath::nul(logval, std::numeric_limits<double>::epsilon())) {
    std::cerr << "vpMath::nul(log(1.0 - std::pow(1.0 - epsilon, "
                 "sampleSize)), std::numeric_limits<double>::epsilon())"
              << std::endl;
    return 0;
  }

  N = log((std::max)(1.0 - probability, std::numeric_limits<double>::epsilon())) / logval;
  if (logval < 0.0 && N < maxIterations) {
    return (int)ceil(N);
  }

  return maxIterations;
}

void vpPose::findMatch(std::vector<vpPoint> &p2D, std::vector<vpPoint> &p3D,
                       const unsigned int &numberOfInlierToReachAConsensus, const double &threshold,
                       unsigned int &ninliers, std::vector<vpPoint> &listInliers, vpHomogeneousMatrix &cMo,
                       const int &maxNbTrials)
{
  vpPose pose;

  int nbPts = 0;
  for (unsigned int i = 0; i < p2D.size(); i++) {
    for (unsigned int j = 0; j < p3D.size(); j++) {
      vpPoint pt(p3D[j].getWorldCoordinates());
      pt.set_x(p2D[i].get_x());
      pt.set_y(p2D[i].get_y());
      pose.addPoint(pt);
      nbPts++;
    }
  }

  if (pose.listP.size() < 4) {
    vpERROR_TRACE("Ransac method cannot be used in that case ");
    vpERROR_TRACE("(at least 4 points are required)");
    vpERROR_TRACE("Not enough point (%d) to compute the pose  ", pose.listP.size());
    throw(vpPoseException(vpPoseException::notEnoughPointError, "Not enough point (%d) to compute the pose by ransac",
                          pose.listP.size()));
  } else {
    pose.setRansacMaxTrials(maxNbTrials);
    pose.setRansacNbInliersToReachConsensus(numberOfInlierToReachAConsensus);
    pose.setRansacThreshold(threshold);
    pose.computePose(vpPose::RANSAC, cMo);
    ninliers = pose.getRansacNbInliers();
    listInliers = pose.getRansacInliers();
  }
}