fast-yolo4/3rdparty/opencv/inc/opencv2/structured_light/structured_light.hpp

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#ifndef __OPENCV_STRUCTURED_LIGHT_HPP__
#define __OPENCV_STRUCTURED_LIGHT_HPP__
#include "opencv2/core.hpp"
namespace cv {
namespace structured_light {
//! @addtogroup structured_light
//! @{
//! Type of the decoding algorithm
// other algorithms can be implemented
enum
{
DECODE_3D_UNDERWORLD = 0 //!< Kyriakos Herakleous, Charalambos Poullis. "3DUNDERWORLD-SLS: An Open-Source Structured-Light Scanning System for Rapid Geometry Acquisition", arXiv preprint arXiv:1406.6595 (2014).
};
/** @brief Abstract base class for generating and decoding structured light patterns.
*/
class CV_EXPORTS_W StructuredLightPattern : public virtual Algorithm
{
public:
/** @brief Generates the structured light pattern to project.
@param patternImages The generated pattern: a vector<Mat>, in which each image is a CV_8U Mat at projector's resolution.
*/
CV_WRAP
virtual bool generate( OutputArrayOfArrays patternImages ) = 0;
/** @brief Decodes the structured light pattern, generating a disparity map
@param patternImages The acquired pattern images to decode (vector<vector<Mat>>), loaded as grayscale and previously rectified.
@param disparityMap The decoding result: a CV_64F Mat at image resolution, storing the computed disparity map.
@param blackImages The all-black images needed for shadowMasks computation.
@param whiteImages The all-white images needed for shadowMasks computation.
@param flags Flags setting decoding algorithms. Default: DECODE_3D_UNDERWORLD.
@note All the images must be at the same resolution.
*/
CV_WRAP
virtual bool decode( const std::vector< std::vector<Mat> >& patternImages, OutputArray disparityMap,
InputArrayOfArrays blackImages = noArray(),
InputArrayOfArrays whiteImages = noArray(),
int flags = DECODE_3D_UNDERWORLD ) const = 0;
};
//! @}
}
}
#endif