added help on Kinect usage to user guide
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\chapter{cv::Mat. Operations with images.}
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\renewcommand{\curModule}{cv::Mat. Operations with images.}
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\input{user_guide/user_mat}
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\chapter{Features2d.}
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\renewcommand{\curModule}{Features2d}
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\input{user_guide/user_features2d}
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\chapter{Highgui.}
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\renewcommand{\curModule}{Highgui.}
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\input{user_guide/user_highgui}
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doc/user_guide/user_highgui.tex
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doc/user_guide/user_highgui.tex
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% %
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% C++ %
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% %
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\ifCpp
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\section{Using Kinect sensor.}
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To get Kinect data there is support in VideoCapture class. So the user can retrieve depth map,
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rgb image and some other formats of Kinect output by using familiar interface of \texttt{VideoCapture}.\par
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To use existing support of Kinect sensor the user should do the following preliminary steps:\newline
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1.) Install OpenNI library and PrimeSensor Module for OpenNI from here \url{http://www.openni.
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org/downloadfiles}. The installation should be made in default folders listed in install instrac-
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tions of these products:
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\begin{lstlisting}
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OpenNI:
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Linux & MacOSX:
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Libs into: /usr/lib
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Includes into: /usr/include/ni
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Windows:
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Libs into: c:/Program Files/OpenNI/Lib
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Includes into: c:/Program Files/OpenNI/Include
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PrimeSensor Module:
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Linux & MacOSX:
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Libs into: /usr/lib
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Bins into: /usr/bin
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Windows:
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Libs into: c:/Program Files/Prime Sense/Sensor/Lib
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Bins into: c:/Program Files/Prime Sense/Sensor/Bin
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\end{lstlisting}
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2.) Configure OpenCV with OpenNI support by setting \texttt{WITH\_OPENNI} flag in CMake. If OpenNI
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is found in default install folders OpenCV will be built with OpenNI library regardless of whether
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PrimeSensor Module is found or not. If PrimeSensor Module was not found the user get warning
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about this in CMake log. OpenCV is compiled with OpenNI library even though PrimeSensor
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Module was not detected, but \texttt{VideoCapture} object can not grab the data from Kinect sensor in
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such case. Build OpenCV.\par
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VideoCapture provides retrieving the following Kinect data:
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\begin{lstlisting}
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a.) data given from depth generator:
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OPENNI_DEPTH_MAP - depth values in mm (CV_16UC1)
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OPENNI_POINT_CLOUD_MAP - XYZ in meters (CV_32FC3)
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OPENNI_DISPARITY_MAP - disparity in pixels (CV_8UC1)
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OPENNI_DISPARITY_MAP_32F - disparity in pixels (CV_32FC1)
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OPENNI_VALID_DEPTH_MASK - mask of valid pixels (not ocluded,
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not shaded etc.) (CV_8UC1)
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b.) data given from RGB image generator:
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OPENNI_BGR_IMAGE - color image (CV_8UC3)
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OPENNI_GRAY_IMAGE - gray image (CV_8UC1)
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\end{lstlisting}
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To get depth map from Kinect the user can use \texttt{VideoCapture::operator >>}, e. g.
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\begin{lstlisting}
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VideoCapture capture(0); // or CV_CAP_OPENNI
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for(;;)
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{
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Mat depthMap;
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capture >> depthMap;
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if( waitKey( 30 ) >= 0 )
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break;
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}
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\end{lstlisting}
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To get several Kinect maps the user should use \texttt{VideoCapture::grab + VideoCapture::retrieve},
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e. g.
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\begin{lstlisting}
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VideoCapture capture(0); // or CV_CAP_OPENNI
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for(;;)
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{
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Mat depthMap;
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Mat rgbImage
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capture.grab();
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capture.retrieve( depthMap, OPENNI_DEPTH_MAP );
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capture.retrieve( bgrImage, OPENNI_BGR_IMAGE );
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if( waitKey( 30 ) >= 0 )
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break;
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}
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\end{lstlisting}
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For more information see example kinect maps.cpp in sample folder.
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\fi
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