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+/*M///////////////////////////////////////////////////////////////////////////////////////
+ //
+ //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+ //
+ //  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
+ //
+ // Copyright (C) 2015, OpenCV Foundation, 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:
+ //
+ //   * Redistribution's of source code must retain the above copyright notice,
+ //     this list of conditions and the following disclaimer.
+ //
+ //   * Redistribution's 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.
+ //
+ //   * The name of the copyright holders may not be used to endorse or promote products
+ //     derived from this software without specific prior written permission.
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+ // This software is provided by the copyright holders and contributors "as is" and
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+ // In no event shall the Intel Corporation or contributors be liable for any direct,
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+ //M*/
+
+/*#ifdef __OPENCV_BUILD
+ #error this is a compatibility header which should not be used inside the OpenCV library
+ #endif*/
+
+#include "opencv2/structured_light/structured_light.hpp"
+#include "opencv2/structured_light/graycodepattern.hpp"
+#include "opencv2/structured_light/sinusoidalpattern.hpp"
+
+/** @defgroup structured_light Structured Light API
+
+ Structured light is considered one of the most effective techniques to acquire 3D models.
+ This technique is based on projecting a light pattern and capturing the illuminated scene
+ from one or more points of view. Since the pattern is coded, correspondences between image
+ points and points of the projected pattern can be quickly found and 3D information easily
+ retrieved.
+
+ One of the most commonly exploited coding strategies is based on trmatime-multiplexing. In this
+ case, a set of patterns  are successively projected onto the measuring surface.
+ The codeword for a given pixel is usually formed by  the sequence of illuminance values for that
+ pixel across the projected patterns. Thus, the codification is called  temporal because the bits
+ of the codewords are multiplexed in time @cite pattern .
+
+ In this module a time-multiplexing coding strategy based on Gray encoding is implemented following the
+ (stereo) approach described in 3DUNDERWORLD algorithm @cite UNDERWORLD .
+ For more details, see @ref tutorial_structured_light.
+
+ */
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