/*
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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)

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Copyright (C) 2009-2016, NVIDIA Corporation, all rights reserved.
Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
Copyright (C) 2015-2016, OpenCV Foundation, all rights reserved.
Copyright (C) 2015-2016, Itseez Inc., all rights reserved.
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*/

/*
Contributed by Gregor Kovalcik <gregor dot kovalcik at gmail dot com>
    based on code provided by Martin Krulis, Jakub Lokoc and Tomas Skopal.

References:
    Martin Krulis, Jakub Lokoc, Tomas Skopal.
    Efficient Extraction of Clustering-Based Feature Signatures Using GPU Architectures.
    Multimedia tools and applications, 75(13), pp.: 8071–8103, Springer, ISSN: 1380-7501, 2016

    Christian Beecks, Merih Seran Uysal, Thomas Seidl.
    Signature quadratic form distance.
    In Proceedings of the ACM International Conference on Image and Video Retrieval, pages 438-445.
    ACM, 2010.
*/


#ifndef _OPENCV_XFEATURES_2D_PCT_SIGNATURES_CONSTANTS_HPP_
#define _OPENCV_XFEATURES_2D_PCT_SIGNATURES_CONSTANTS_HPP_

#ifdef __cplusplus

namespace cv
{
    namespace xfeatures2d
    {
        namespace pct_signatures
        {
            const int SIGNATURE_DIMENSION = 8;

            const int WEIGHT_IDX = 0;
            const int X_IDX = 1;
            const int Y_IDX = 2;
            const int L_IDX = 3;
            const int A_IDX = 4;
            const int B_IDX = 5;
            const int CONTRAST_IDX = 6;
            const int ENTROPY_IDX = 7;

            const float L_COLOR_RANGE = 100;
            const float A_COLOR_RANGE = 127;
            const float B_COLOR_RANGE = 127;

            const float SAMPLER_CONTRAST_NORMALIZER = 25.0;   // both determined empirically
            const float SAMPLER_ENTROPY_NORMALIZER = 4.0;

        }
    }
}

#endif

#endif
