opencv/doc/user_guide/ug_highgui.rst

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HighGUI
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.. highlight:: cpp
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Using Kinect and other OpenNI compatible depth sensors
======================================================
Depth sensors compatible with OpenNI (Kinect, XtionPRO, ...) are supported through ``VideoCapture`` class. Depth map, RGB image and some other formats of output can be retrieved by using familiar interface of ``VideoCapture``.
In order to use depth sensor with OpenCV you should do the following preliminary steps:
#.
Install OpenNI library (from here http://www.openni.org/downloadfiles) and PrimeSensor Module for OpenNI (from here https://github.com/avin2/SensorKinect). The installation should be done to default folders listed in the instructions of these products, e.g.:
.. code-block:: text
OpenNI:
Linux & MacOSX:
Libs into: /usr/lib
Includes into: /usr/include/ni
Windows:
Libs into: c:/Program Files/OpenNI/Lib
Includes into: c:/Program Files/OpenNI/Include
PrimeSensor Module:
Linux & MacOSX:
Bins into: /usr/bin
Windows:
Bins into: c:/Program Files/Prime Sense/Sensor/Bin
If one or both products were installed to the other folders, the user should change corresponding CMake variables ``OPENNI_LIB_DIR``, ``OPENNI_INCLUDE_DIR`` or/and ``OPENNI_PRIME_SENSOR_MODULE_BIN_DIR``.
#.
Configure OpenCV with OpenNI support by setting ``WITH_OPENNI`` flag in CMake. If OpenNI is found in install folders OpenCV will be built with OpenNI library (see a status ``OpenNI`` in CMake log) whereas PrimeSensor Modules can not be found (see a status ``OpenNI PrimeSensor Modules`` in CMake log). Without PrimeSensor module OpenCV will be successfully compiled with OpenNI library, but ``VideoCapture`` object will not grab data from Kinect sensor.
#.
Build OpenCV.
VideoCapture can retrieve the following data:
#.
data given from depth generator:
* ``CV_CAP_OPENNI_DEPTH_MAP`` - depth values in mm (CV_16UC1)
* ``CV_CAP_OPENNI_POINT_CLOUD_MAP`` - XYZ in meters (CV_32FC3)
* ``CV_CAP_OPENNI_DISPARITY_MAP`` - disparity in pixels (CV_8UC1)
* ``CV_CAP_OPENNI_DISPARITY_MAP_32F`` - disparity in pixels (CV_32FC1)
* ``CV_CAP_OPENNI_VALID_DEPTH_MASK`` - mask of valid pixels (not ocluded, not shaded etc.) (CV_8UC1)
#.
data given from RGB image generator:
* ``CV_CAP_OPENNI_BGR_IMAGE`` - color image (CV_8UC3)
* ``CV_CAP_OPENNI_GRAY_IMAGE`` - gray image (CV_8UC1)
In order to get depth map from depth sensor use ``VideoCapture::operator >>``, e. g. ::
VideoCapture capture( CV_CAP_OPENNI );
for(;;)
{
Mat depthMap;
capture >> depthMap;
if( waitKey( 30 ) >= 0 )
break;
}
For getting several data maps use ``VideoCapture::grab`` and ``VideoCapture::retrieve``, e.g. ::
VideoCapture capture(0); // or CV_CAP_OPENNI
for(;;)
{
Mat depthMap;
Mat rgbImage
capture.grab();
capture.retrieve( depthMap, CV_CAP_OPENNI_DEPTH_MAP );
capture.retrieve( bgrImage, CV_CAP_OPENNI_BGR_IMAGE );
if( waitKey( 30 ) >= 0 )
break;
}
For setting and getting some property of sensor` data generators use ``VideoCapture::set`` and ``VideoCapture::get`` methods respectively, e.g. ::
VideoCapture capture( CV_CAP_OPENNI );
capture.set( CV_CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, CV_CAP_OPENNI_VGA_30HZ );
cout << "FPS " << capture.get( CV_CAP_OPENNI_IMAGE_GENERATOR+CV_CAP_PROP_FPS ) << endl;
Since two types of sensor's data generators are supported (image generator and depth generator), there are two flags that should be used to set/get property of the needed generator:
* CV_CAP_OPENNI_IMAGE_GENERATOR -- A flag for access to the image generator properties.
* CV_CAP_OPENNI_DEPTH_GENERATOR -- A flag for access to the depth generator properties. This flag value is assumed by default if neither of the two possible values of the property is not set.
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Some depth sensors (for example XtionPRO) do not have image generator. In order to check it you can get ``CV_CAP_OPENNI_IMAGE_GENERATOR_PRESENT`` property.
::
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bool isImageGeneratorPresent = capture.get( CV_CAP_PROP_OPENNI_IMAGE_GENERATOR_PRESENT ) != 0; // or == 1
Flags specifing the needed generator type must be used in combination with particular generator property. The following properties of cameras available through OpenNI interfaces are supported:
*
For image generator:
- ``CV_CAP_PROP_OPENNI_OUTPUT_MODE`` -- Three output modes are supported: ``CV_CAP_OPENNI_VGA_30HZ`` used by default (image generator returns images in VGA resolution with 30 FPS), ``CV_CAP_OPENNI_SXGA_15HZ`` (image generator returns images in SXGA resolution with 15 FPS) and ``CV_CAP_OPENNI_SXGA_30HZ`` (image generator returns images in SXGA resolution with 30 FPS, the mode is supported by XtionPRO Live); depth generator's maps are always in VGA resolution.
*
For depth generator:
- ``CV_CAP_PROP_OPENNI_REGISTRATION`` -- Flag that registers the remapping depth map to image map by changing depth generator's view point (if the flag is ``"on"``) or sets this view point to its normal one (if the flag is ``"off"``). The registration processs resulting images are pixel-aligned,which means that every pixel in the image is aligned to a pixel in the depth image.
Next properties are available for getting only:
- ``CV_CAP_PROP_OPENNI_FRAME_MAX_DEPTH`` -- A maximum supported depth of Kinect in mm.
- ``CV_CAP_PROP_OPENNI_BASELINE`` -- Baseline value in mm.
- ``CV_CAP_PROP_OPENNI_FOCAL_LENGTH`` -- A focal length in pixels.
- ``CV_CAP_PROP_FRAME_WIDTH`` -- Frame width in pixels.
- ``CV_CAP_PROP_FRAME_HEIGHT`` -- Frame height in pixels.
- ``CV_CAP_PROP_FPS`` -- Frame rate in FPS.
*
Some typical flags combinations "generator type + property" are defined as single flags:
- ``CV_CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE = CV_CAP_OPENNI_IMAGE_GENERATOR + CV_CAP_PROP_OPENNI_OUTPUT_MODE``
- ``CV_CAP_OPENNI_DEPTH_GENERATOR_BASELINE = CV_CAP_OPENNI_DEPTH_GENERATOR + CV_CAP_PROP_OPENNI_BASELINE``
- ``CV_CAP_OPENNI_DEPTH_GENERATOR_FOCAL_LENGTH = CV_CAP_OPENNI_DEPTH_GENERATOR + CV_CAP_PROP_OPENNI_FOCAL_LENGTH``
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- ``CV_CAP_OPENNI_DEPTH_GENERATOR_REGISTRATION = CV_CAP_OPENNI_DEPTH_GENERATOR + CV_CAP_PROP_OPENNI_REGISTRATION``
For more information please refer to the example of usage openni_capture.cpp_ in ``opencv/samples/cpp`` folder.
.. _openni_capture.cpp: https://github.com/Itseez/opencv/tree/master/samples/cpp/openni_capture.cpp