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Open Source Computer Vision Library
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107 lines
4.2 KiB
107 lines
4.2 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. |
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#ifndef __OPENCV_PRECOMP_H__ |
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#define __OPENCV_PRECOMP_H__ |
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#include "opencv2/calib3d.hpp" |
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#include "opencv2/imgproc.hpp" |
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#include "opencv2/features2d.hpp" |
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#include "opencv2/core/utility.hpp" |
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#include "opencv2/core/private.hpp" |
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#include "opencv2/core/ocl.hpp" |
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#ifdef HAVE_TEGRA_OPTIMIZATION |
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#include "opencv2/calib3d/calib3d_tegra.hpp" |
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#else |
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#define GET_OPTIMIZED(func) (func) |
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#endif |
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namespace cv |
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{ |
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int RANSACUpdateNumIters( double p, double ep, int modelPoints, int maxIters ); |
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class CV_EXPORTS LMSolver : public Algorithm |
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{ |
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public: |
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class CV_EXPORTS Callback |
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{ |
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public: |
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virtual ~Callback() {} |
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virtual bool compute(InputArray param, OutputArray err, OutputArray J) const = 0; |
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}; |
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virtual void setCallback(const Ptr<LMSolver::Callback>& cb) = 0; |
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virtual int run(InputOutputArray _param0) const = 0; |
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}; |
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CV_EXPORTS Ptr<LMSolver> createLMSolver(const Ptr<LMSolver::Callback>& cb, int maxIters); |
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class CV_EXPORTS PointSetRegistrator : public Algorithm |
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{ |
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public: |
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class CV_EXPORTS Callback |
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{ |
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public: |
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virtual ~Callback() {} |
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virtual int runKernel(InputArray m1, InputArray m2, OutputArray model) const = 0; |
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virtual void computeError(InputArray m1, InputArray m2, InputArray model, OutputArray err) const = 0; |
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virtual bool checkSubset(InputArray, InputArray, int) const { return true; } |
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}; |
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virtual void setCallback(const Ptr<PointSetRegistrator::Callback>& cb) = 0; |
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virtual bool run(InputArray m1, InputArray m2, OutputArray model, OutputArray mask) const = 0; |
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}; |
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CV_EXPORTS Ptr<PointSetRegistrator> createRANSACPointSetRegistrator(const Ptr<PointSetRegistrator::Callback>& cb, |
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int modelPoints, double threshold, |
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double confidence=0.99, int maxIters=1000 ); |
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CV_EXPORTS Ptr<PointSetRegistrator> createLMeDSPointSetRegistrator(const Ptr<PointSetRegistrator::Callback>& cb, |
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int modelPoints, double confidence=0.99, int maxIters=1000 ); |
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} |
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#endif
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