/******************************************************************** ** Image Component Library (ICL) ** ** ** ** Copyright (C) 2006-2013 CITEC, University of Bielefeld ** ** Neuroinformatics Group ** ** Website: www.iclcv.org and ** ** http://opensource.cit-ec.de/projects/icl ** ** ** ** File : ICLMarkers/src/ICLMarkers/ ** ** MarkerGridBasedUndistortionOptimizer.h ** ** Module : ICLMarkers ** ** Authors: Christof Elbrechter ** ** ** ** ** ** GNU LESSER GENERAL PUBLIC LICENSE ** ** This file may be used under the terms of the GNU Lesser General ** ** Public License version 3.0 as published by the ** ** ** ** Free Software Foundation and appearing in the file LICENSE.LGPL ** ** included in the packaging of this file. Please review the ** ** following information to ensure the license requirements will ** ** be met: http://www.gnu.org/licenses/lgpl-3.0.txt ** ** ** ** The development of this software was supported by the ** ** Excellence Cluster EXC 277 Cognitive Interaction Technology. ** ** The Excellence Cluster EXC 277 is a grant of the Deutsche ** ** Forschungsgemeinschaft (DFG) in the context of the German ** ** Excellence Initiative. ** ** ** ********************************************************************/ #pragma once #include namespace icl{ namespace markers{ class ICLMarkers_API MarkerGridBasedUndistortionOptimizer{ typedef AdvancedMarkerGridDetector::Marker Marker; typedef AdvancedMarkerGridDetector::MarkerGrid MarkerGrid; struct Data; Data *m_data; void undistort(const MarkerGrid &src, MarkerGrid &dst, const float k[9]) const; public: MarkerGridBasedUndistortionOptimizer(); ~MarkerGridBasedUndistortionOptimizer(); int size() const; void add(const MarkerGrid &grid); void clear(); void setUseOpenCL(bool on); /// k = k0,k1,k2,k3,k4, w/2 + ix-offset, h/2 + iy-offset float computeError(const float k[9]); std::vector optimizeSample(const float kInit[9], int idx, float min, float max, const std::vector steps=std::vector(3,10)); std::vector optimizeAutoSample(const utils::Size &imageSize); std::vector optimizeAutoSimplex(const utils::Size &imageSize); }; } }