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Reorganized user guide

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Maksim Shabunin
2015-05-13 18:42:31 +03:00
parent 3f91b0d340
commit 6d1cbc6458
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doc/tutorials/highgui/intelperc.markdown
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Using Creative Senz3D and other Intel Perceptual Computing SDK compatible depth sensors {#tutorial_intelperc}
=======================================================================================
Depth sensors compatible with Intel Perceptual Computing SDK 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 Intel Perceptual Computing SDK (from here <http://www.intel.com/software/perceptual>).
-# Configure OpenCV with Intel Perceptual Computing SDK support by setting WITH_INTELPERC flag in
CMake. If Intel Perceptual Computing SDK is found in install folders OpenCV will be built with
Intel Perceptual Computing SDK library (see a status INTELPERC in CMake log). If CMake process
doesn't find Intel Perceptual Computing SDK installation folder automatically, the user should
change corresponding CMake variables INTELPERC_LIB_DIR and INTELPERC_INCLUDE_DIR to the
proper value.
-# Build OpenCV.
VideoCapture can retrieve the following data:
-# data given from depth generator:
- CAP_INTELPERC_DEPTH_MAP - each pixel is a 16-bit integer. The value indicates the
distance from an object to the camera's XY plane or the Cartesian depth. (CV_16UC1)
- CAP_INTELPERC_UVDEPTH_MAP - each pixel contains two 32-bit floating point values in
the range of 0-1, representing the mapping of depth coordinates to the color
coordinates. (CV_32FC2)
- CAP_INTELPERC_IR_MAP - each pixel is a 16-bit integer. The value indicates the
intensity of the reflected laser beam. (CV_16UC1)
-# data given from RGB image generator:
- CAP_INTELPERC_IMAGE - color image. (CV_8UC3)
In order to get depth map from depth sensor use VideoCapture::operator \>\>, e. g. :
@code{.cpp}
VideoCapture capture( CAP_INTELPERC );
for(;;)
{
Mat depthMap;
capture >> depthMap;
if( waitKey( 30 ) >= 0 )
break;
}
@endcode
For getting several data maps use VideoCapture::grab and VideoCapture::retrieve, e.g. :
@code{.cpp}
VideoCapture capture(CAP_INTELPERC);
for(;;)
{
Mat depthMap;
Mat image;
Mat irImage;
capture.grab();
capture.retrieve( depthMap, CAP_INTELPERC_DEPTH_MAP );
capture.retrieve( image, CAP_INTELPERC_IMAGE );
capture.retrieve( irImage, CAP_INTELPERC_IR_MAP);
if( waitKey( 30 ) >= 0 )
break;
}
@endcode
For setting and getting some property of sensor\` data generators use VideoCapture::set and
VideoCapture::get methods respectively, e.g. :
@code{.cpp}
VideoCapture capture( CAP_INTELPERC );
capture.set( CAP_INTELPERC_DEPTH_GENERATOR | CAP_PROP_INTELPERC_PROFILE_IDX, 0 );
cout << "FPS " << capture.get( CAP_INTELPERC_DEPTH_GENERATOR+CAP_PROP_FPS ) << endl;
@endcode
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:
- CAP_INTELPERC_IMAGE_GENERATOR -- a flag for access to the image generator properties.
- CAP_INTELPERC_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 set.
For more information please refer to the example of usage
[intelperc_capture.cpp](https://github.com/Itseez/opencv/tree/master/samples/cpp/intelperc_capture.cpp)
in opencv/samples/cpp folder.
doc/tutorials/highgui/kinect_openni.markdown
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Using Kinect and other OpenNI compatible depth sensors {#tutorial_kinect_openni}
======================================================
Depth sensors compatible with OpenNI (Kinect, XtionPRO, ...) are supported through VideoCapture
class. Depth map, BGR 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{.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
@endcode
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:
- CAP_OPENNI_DEPTH_MAP - depth values in mm (CV_16UC1)
- CAP_OPENNI_POINT_CLOUD_MAP - XYZ in meters (CV_32FC3)
- CAP_OPENNI_DISPARITY_MAP - disparity in pixels (CV_8UC1)
- CAP_OPENNI_DISPARITY_MAP_32F - disparity in pixels (CV_32FC1)
- CAP_OPENNI_VALID_DEPTH_MASK - mask of valid pixels (not ocluded, not shaded etc.)
(CV_8UC1)
-# data given from BGR image generator:
- CAP_OPENNI_BGR_IMAGE - color image (CV_8UC3)
- CAP_OPENNI_GRAY_IMAGE - gray image (CV_8UC1)
In order to get depth map from depth sensor use VideoCapture::operator \>\>, e. g. :
@code{.cpp}
VideoCapture capture( CAP_OPENNI );
for(;;)
{
Mat depthMap;
capture >> depthMap;
if( waitKey( 30 ) >= 0 )
break;
}
@endcode
For getting several data maps use VideoCapture::grab and VideoCapture::retrieve, e.g. :
@code{.cpp}
VideoCapture capture(0); // or CAP_OPENNI
for(;;)
{
Mat depthMap;
Mat bgrImage;
capture.grab();
capture.retrieve( depthMap, CAP_OPENNI_DEPTH_MAP );
capture.retrieve( bgrImage, CAP_OPENNI_BGR_IMAGE );
if( waitKey( 30 ) >= 0 )
break;
}
@endcode
For setting and getting some property of sensor\` data generators use VideoCapture::set and
VideoCapture::get methods respectively, e.g. :
@code{.cpp}
VideoCapture capture( CAP_OPENNI );
capture.set( CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, CAP_OPENNI_VGA_30HZ );
cout << "FPS " << capture.get( CAP_OPENNI_IMAGE_GENERATOR+CAP_PROP_FPS ) << endl;
@endcode
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:
- CAP_OPENNI_IMAGE_GENERATOR -- A flag for access to the image generator properties.
- 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.
Some depth sensors (for example XtionPRO) do not have image generator. In order to check it you can
get CAP_OPENNI_IMAGE_GENERATOR_PRESENT property.
@code{.cpp}
bool isImageGeneratorPresent = capture.get( CAP_PROP_OPENNI_IMAGE_GENERATOR_PRESENT ) != 0; // or == 1
@endcode
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:
- CAP_PROP_OPENNI_OUTPUT_MODE -- Three output modes are supported: CAP_OPENNI_VGA_30HZ
used by default (image generator returns images in VGA resolution with 30 FPS),
CAP_OPENNI_SXGA_15HZ (image generator returns images in SXGA resolution with 15 FPS) and
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:
- 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 process’s 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:
- CAP_PROP_OPENNI_FRAME_MAX_DEPTH -- A maximum supported depth of Kinect in mm.
- CAP_PROP_OPENNI_BASELINE -- Baseline value in mm.
- CAP_PROP_OPENNI_FOCAL_LENGTH -- A focal length in pixels.
- CAP_PROP_FRAME_WIDTH -- Frame width in pixels.
- CAP_PROP_FRAME_HEIGHT -- Frame height in pixels.
- CAP_PROP_FPS -- Frame rate in FPS.
- Some typical flags combinations "generator type + property" are defined as single flags:
- CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE = CAP_OPENNI_IMAGE_GENERATOR + CAP_PROP_OPENNI_OUTPUT_MODE
- CAP_OPENNI_DEPTH_GENERATOR_BASELINE = CAP_OPENNI_DEPTH_GENERATOR + CAP_PROP_OPENNI_BASELINE
- CAP_OPENNI_DEPTH_GENERATOR_FOCAL_LENGTH = CAP_OPENNI_DEPTH_GENERATOR + CAP_PROP_OPENNI_FOCAL_LENGTH
- CAP_OPENNI_DEPTH_GENERATOR_REGISTRATION = CAP_OPENNI_DEPTH_GENERATOR + CAP_PROP_OPENNI_REGISTRATION
For more information please refer to the example of usage
[openni_capture.cpp](https://github.com/Itseez/opencv/tree/master/samples/cpp/openni_capture.cpp) in
opencv/samples/cpp folder.
doc/tutorials/highgui/table_of_content_highgui.markdown
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*Author:* Marvin Smith
Read common GIS Raster and DEM files to display and manipulate geographic data.
- @subpage tutorial_kinect_openni
- @subpage tutorial_intelperc