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Diffstat (limited to 'thirdparty1/linux/include/opencv2/ximgproc/estimated_covariance.hpp')
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diff --git a/thirdparty1/linux/include/opencv2/ximgproc/estimated_covariance.hpp b/thirdparty1/linux/include/opencv2/ximgproc/estimated_covariance.hpp new file mode 100644 index 0000000..e4f5ddf --- /dev/null +++ b/thirdparty1/linux/include/opencv2/ximgproc/estimated_covariance.hpp @@ -0,0 +1,82 @@ +/* +By downloading, copying, installing or using the software you agree to this license. +If you do not agree to this license, do not download, install, +copy or use the software. + + + License Agreement + For Open Source Computer Vision Library + (3-clause BSD License) + +Copyright (C) 2000-2015, Intel Corporation, all rights reserved. +Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved. +Copyright (C) 2009-2015, NVIDIA Corporation, all rights reserved. +Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved. +Copyright (C) 2015, OpenCV Foundation, all rights reserved. +Copyright (C) 2015, Itseez Inc., all rights reserved. +Third party copyrights are property of their respective owners. + +Redistribution and use in source and binary forms, with or without modification, +are permitted provided that the following conditions are met: + + * Redistributions of source code must retain the above copyright 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 names of the copyright holders nor the names of the 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 implied +warranties of merchantability and fitness for a particular purpose are disclaimed. +In no event shall copyright holders or contributors be liable for any direct, +indirect, incidental, special, exemplary, or consequential damages +(including, but not limited to, procurement of substitute goods or services; +loss of use, data, or profits; or business interruption) however caused +and on any theory of liability, whether in contract, strict liability, +or tort (including negligence or otherwise) arising in any way out of +the use of this software, even if advised of the possibility of such damage. + +Algorithmic details of this algorithm can be found at: + * O. Green, Y. Birk, "A Computationally Efficient Algorithm for the 2D Covariance Method", ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis, Denver, Colorado, 2013 +A previous and less efficient version of the algorithm can be found: + * O. Green, L. David, A. Galperin, Y. Birk, "Efficient parallel computation of the estimated covariance matrix", arXiv, 2013 + + +*/ +#ifndef __OPENCV_ESTIMATECOVARIANCE_HPP__ +#define __OPENCV_ESTIMATECOVARIANCE_HPP__ +#ifdef __cplusplus + +#include <opencv2/core.hpp> + +namespace cv +{ +namespace ximgproc +{ + +/** @brief Computes the estimated covariance matrix of an image using the sliding +window forumlation. + +@param src The source image. Input image must be of a complex type. +@param dst The destination estimated covariance matrix. Output matrix will be size (windowRows*windowCols, windowRows*windowCols). +@param windowRows The number of rows in the window. +@param windowCols The number of cols in the window. +The window size parameters control the accuracy of the estimation. +The sliding window moves over the entire image from the top-left corner +to the bottom right corner. Each location of the window represents a sample. +If the window is the size of the image, then this gives the exact covariance matrix. +For all other cases, the sizes of the window will impact the number of samples +and the number of elements in the estimated covariance matrix. +*/ + +CV_EXPORTS_W void covarianceEstimation(InputArray src, OutputArray dst, int windowRows, int windowCols); + +} +} +#endif +#endif |