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- /*M///////////////////////////////////////////////////////////////////////////////////////
- //
- // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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- // 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.
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- // License Agreement
- // For Open Source Computer Vision Library
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- // Copyright (C) 2015, OpenCV Foundation, all rights reserved.
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- /*#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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