/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
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// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
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// derived from this software without specific prior written permission.
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#include "precomp.hpp"
#include "opencv2/core.hpp"
#include "opencv2/imgproc.hpp"
#ifdef HAVE_OPENNI2
#if defined TBB_INTERFACE_VERSION && TBB_INTERFACE_VERSION < 5000
# undef HAVE_TBB
#endif
#include <queue>
#ifndef i386
# define i386 0
#endif
#ifndef __arm__
# define __arm__ 0
#endif
#ifndef _ARC
# define _ARC 0
#endif
#ifndef __APPLE__
# define __APPLE__ 0
#endif
#define CV_STREAM_TIMEOUT 2000
#define CV_DEPTH_STREAM 0
#define CV_COLOR_STREAM 1
#include "OpenNI.h"
#include "PS1080.h"
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
class CvCapture_OpenNI2 : public CvCapture
{
public:
enum { DEVICE_DEFAULT=0, DEVICE_MS_KINECT=0, DEVICE_ASUS_XTION=1, DEVICE_MAX=1 };
static const int INVALID_PIXEL_VAL = 0;
static const int INVALID_COORDINATE_VAL = 0;
#ifdef HAVE_TBB
static const int DEFAULT_MAX_BUFFER_SIZE = 8;
#else
static const int DEFAULT_MAX_BUFFER_SIZE = 2;
#endif
static const int DEFAULT_IS_CIRCLE_BUFFER = 0;
static const int DEFAULT_MAX_TIME_DURATION = 20;
CvCapture_OpenNI2(int index = 0);
CvCapture_OpenNI2(const char * filename);
virtual ~CvCapture_OpenNI2();
virtual double getProperty(int propIdx) const;
virtual bool setProperty(int probIdx, double propVal);
virtual bool grabFrame();
virtual IplImage* retrieveFrame(int outputType);
bool isOpened() const;
protected:
struct OutputMap
{
public:
cv::Mat mat;
IplImage* getIplImagePtr();
private:
IplImage iplHeader;
};
static const int outputMapsTypesCount = 7;
static openni::VideoMode defaultColorOutputMode();
static openni::VideoMode defaultDepthOutputMode();
IplImage* retrieveDepthMap();
IplImage* retrievePointCloudMap();
IplImage* retrieveDisparityMap();
IplImage* retrieveDisparityMap_32F();
IplImage* retrieveValidDepthMask();
IplImage* retrieveBGRImage();
IplImage* retrieveGrayImage();
bool readCamerasParams();
double getDepthGeneratorProperty(int propIdx) const;
bool setDepthGeneratorProperty(int propIdx, double propVal);
double getImageGeneratorProperty(int propIdx) const;
bool setImageGeneratorProperty(int propIdx, double propVal);
double getCommonProperty(int propIdx) const;
bool setCommonProperty(int propIdx, double propVal);
// OpenNI context
openni::Device device;
bool isContextOpened;
openni::Recorder recorder;
// Data generators with its metadata
openni::VideoStream depth, color, **streams;
openni::VideoFrameRef depthFrame, colorFrame;
cv::Mat depthImage, colorImage;
int maxBufferSize, maxTimeDuration; // for approx sync
bool isCircleBuffer;
//cv::Ptr<ApproximateSyncGrabber> approxSyncGrabber;
// Cameras settings:
// TODO find in OpenNI function to convert z->disparity and remove fields "baseline" and depthFocalLength_VGA
// Distance between IR projector and IR camera (in meters)
double baseline;
// Focal length for the IR camera in VGA resolution (in pixels)
int depthFocalLength_VGA;
// The value for shadow (occluded pixels)
int shadowValue;
// The value for pixels without a valid disparity measurement
int noSampleValue;
int currentStream;
int numStream;
std::vector<OutputMap> outputMaps;
};
IplImage* CvCapture_OpenNI2::OutputMap::getIplImagePtr()
{
if( mat.empty() )
return 0;
iplHeader = IplImage(mat);
return &iplHeader;
}
bool CvCapture_OpenNI2::isOpened() const
{
return isContextOpened;
}
openni::VideoMode CvCapture_OpenNI2::defaultColorOutputMode()
{
openni::VideoMode mode;
mode.setResolution(640, 480);
mode.setFps(30);
mode.setPixelFormat(openni::PIXEL_FORMAT_RGB888);
return mode;
}
openni::VideoMode CvCapture_OpenNI2::defaultDepthOutputMode()
{
openni::VideoMode mode;
mode.setResolution(640, 480);
mode.setFps(30);
mode.setPixelFormat(openni::PIXEL_FORMAT_DEPTH_1_MM);
return mode;
}
CvCapture_OpenNI2::CvCapture_OpenNI2( int index )
{
numStream = 2;
const char* deviceURI = openni::ANY_DEVICE;
openni::Status status;
int deviceType = DEVICE_DEFAULT;
noSampleValue = shadowValue = 0;
isContextOpened = false;
maxBufferSize = DEFAULT_MAX_BUFFER_SIZE;
isCircleBuffer = DEFAULT_IS_CIRCLE_BUFFER;
maxTimeDuration = DEFAULT_MAX_TIME_DURATION;
if( index >= 10 )
{
deviceType = index / 10;
index %= 10;
}
// Asus XTION and Occipital Structure Sensor do not have an image generator
if (deviceType == DEVICE_ASUS_XTION)
numStream = 1;
if( deviceType > DEVICE_MAX )
return;
// Initialize and configure the context.
status = openni::OpenNI::initialize();
if (status != openni::STATUS_OK)
{
CV_Error(CV_StsError, cv::format("Failed to initialize:", openni::OpenNI::getExtendedError()));
return;
}
status = device.open(deviceURI);
if( status != openni::STATUS_OK )
{
CV_Error(CV_StsError, cv::format("OpenCVKinect: Device open failed see: %s\n", openni::OpenNI::getExtendedError()));
openni::OpenNI::shutdown();
return;
}
//device.setDepthColorSyncEnabled(true);
status = depth.create(device, openni::SENSOR_DEPTH);
if (status == openni::STATUS_OK)
{
if (depth.isValid())
{
CV_Assert(depth.setVideoMode(defaultDepthOutputMode()) == openni::STATUS_OK); // xn::DepthGenerator supports VGA only! (Jan 2011)
}
status = depth.start();
if (status != openni::STATUS_OK)
{
CV_Error(CV_StsError, cv::format("CvCapture_OpenNI2::CvCapture_OpenNI2 : Couldn't start depth stream: %s\n", openni::OpenNI::getExtendedError()));
depth.destroy();
return;
}
}
else
{
CV_Error(CV_StsError, cv::format("CvCapture_OpenNI2::CvCapture_OpenNI2 : Couldn't find depth stream:: %s\n", openni::OpenNI::getExtendedError()));
return;
}
streams = new openni::VideoStream*[numStream];
streams[CV_DEPTH_STREAM] = &depth;
// create a color object
status = color.create(device, openni::SENSOR_COLOR);
if (status == openni::STATUS_OK)
{
// Set map output mode.
if (color.isValid())
{
CV_Assert(color.setVideoMode(defaultColorOutputMode()) == openni::STATUS_OK);
}
status = color.start();
if (status != openni::STATUS_OK)
{
CV_Error(CV_StsError, cv::format("CvCapture_OpenNI2::CvCapture_OpenNI2 : Couldn't start color stream: %s\n", openni::OpenNI::getExtendedError()));
color.destroy();
return;
}
streams[CV_COLOR_STREAM] = &color;
}
else if (numStream == 2)
{
CV_Error(CV_StsError, cv::format("CvCapture_OpenNI2::CvCapture_OpenNI2 : Couldn't find color stream: %s\n", openni::OpenNI::getExtendedError()));
return;
}
if( !readCamerasParams() )
{
CV_Error(CV_StsError, cv::format("CvCapture_OpenNI2::CvCapture_OpenNI2 : Could not read cameras parameters\n"));
return;
}
// if( deviceType == DEVICE_ASUS_XTION )
// {
// //ps/asus specific
// imageGenerator.SetIntProperty("InputFormat", 1 /*XN_IO_IMAGE_FORMAT_YUV422*/);
// imageGenerator.SetPixelFormat(XN_PIXEL_FORMAT_RGB24);
// depthGenerator.SetIntProperty("RegistrationType", 1 /*XN_PROCESSING_HARDWARE*/);
// }
outputMaps.resize( outputMapsTypesCount );
isContextOpened = true;
setProperty(CV_CAP_PROP_OPENNI_REGISTRATION, 1.0);
}
CvCapture_OpenNI2::CvCapture_OpenNI2(const char * filename)
{
numStream = 2;
openni::Status status;
isContextOpened = false;
maxBufferSize = DEFAULT_MAX_BUFFER_SIZE;
isCircleBuffer = DEFAULT_IS_CIRCLE_BUFFER;
maxTimeDuration = DEFAULT_MAX_TIME_DURATION;
// Initialize and configure the context.
status = openni::OpenNI::initialize();
if (status != openni::STATUS_OK)
{
CV_Error(CV_StsError, cv::format("Failed to initialize:", openni::OpenNI::getExtendedError()));
return;
}
// Open file
status = device.open(filename);
if( status != openni::STATUS_OK )
{
CV_Error(CV_StsError, cv::format("CvCapture_OpenNI2::CvCapture_OpenNI2 : Failed to open input file (%s): %s\n", filename, openni::OpenNI::getExtendedError()));
return;
}
if( !readCamerasParams() )
{
CV_Error(CV_StsError, cv::format("CvCapture_OpenNI2::CvCapture_OpenNI2 : Could not read cameras parameters\n"));
return;
}
outputMaps.resize( outputMapsTypesCount );
isContextOpened = true;
}
CvCapture_OpenNI2::~CvCapture_OpenNI2()
{
this->depthFrame.release();
this->colorFrame.release();
this->depth.stop();
this->color.stop();
openni::OpenNI::shutdown();
}
bool CvCapture_OpenNI2::readCamerasParams()
{
double pixelSize = 0;
if (depth.getProperty<double>(XN_STREAM_PROPERTY_ZERO_PLANE_PIXEL_SIZE, &pixelSize) != openni::STATUS_OK)
{
CV_Error(CV_StsError, cv::format("CvCapture_OpenNI2::readCamerasParams : Could not read pixel size!\n"));
return false;
}
// pixel size @ VGA = pixel size @ SXGA x 2
pixelSize *= 2.0; // in mm
// focal length of IR camera in pixels for VGA resolution
int zeroPlanDistance; // in mm
if (depth.getProperty(XN_STREAM_PROPERTY_ZERO_PLANE_DISTANCE, &zeroPlanDistance) != openni::STATUS_OK)
{
CV_Error(CV_StsError, cv::format("CvCapture_OpenNI2::readCamerasParams : Could not read virtual plane distance!\n"));
return false;
}
if (depth.getProperty<double>(XN_STREAM_PROPERTY_EMITTER_DCMOS_DISTANCE, &baseline) != openni::STATUS_OK)
{
CV_Error(CV_StsError, cv::format("CvCapture_OpenNI2::readCamerasParams : Could not read base line!\n"));
return false;
}
// baseline from cm -> mm
baseline *= 10;
// focal length from mm -> pixels (valid for 640x480)
depthFocalLength_VGA = (int)((double)zeroPlanDistance / (double)pixelSize);
return true;
}
double CvCapture_OpenNI2::getProperty( int propIdx ) const
{
double propValue = 0;
if( isOpened() )
{
int purePropIdx = propIdx & ~CV_CAP_OPENNI_GENERATORS_MASK;
if( (propIdx & CV_CAP_OPENNI_GENERATORS_MASK) == CV_CAP_OPENNI_IMAGE_GENERATOR )
{
propValue = getImageGeneratorProperty( purePropIdx );
}
else if( (propIdx & CV_CAP_OPENNI_GENERATORS_MASK) == CV_CAP_OPENNI_DEPTH_GENERATOR )
{
propValue = getDepthGeneratorProperty( purePropIdx );
}
else
{
propValue = getCommonProperty( purePropIdx );
}
}
return propValue;
}
bool CvCapture_OpenNI2::setProperty( int propIdx, double propValue )
{
bool isSet = false;
if( isOpened() )
{
int purePropIdx = propIdx & ~CV_CAP_OPENNI_GENERATORS_MASK;
if( (propIdx & CV_CAP_OPENNI_GENERATORS_MASK) == CV_CAP_OPENNI_IMAGE_GENERATOR )
{
isSet = setImageGeneratorProperty( purePropIdx, propValue );
}
else if( (propIdx & CV_CAP_OPENNI_GENERATORS_MASK) == CV_CAP_OPENNI_DEPTH_GENERATOR )
{
isSet = setDepthGeneratorProperty( purePropIdx, propValue );
}
else
{
isSet = setCommonProperty( purePropIdx, propValue );
}
}
return isSet;
}
double CvCapture_OpenNI2::getCommonProperty( int propIdx ) const
{
double propValue = 0;
switch( propIdx )
{
// There is a set of properties that correspond to depth generator by default
// (is they are pass without particular generator flag). Two reasons of this:
// 1) We can assume that depth generator is the main one for depth sensor.
// 2) In the initial vertions of OpenNI integration to OpenCV the value of
// flag CV_CAP_OPENNI_DEPTH_GENERATOR was 0 (it isn't zero now).
case CV_CAP_PROP_OPENNI_GENERATOR_PRESENT :
case CV_CAP_PROP_FRAME_WIDTH :
case CV_CAP_PROP_FRAME_HEIGHT :
case CV_CAP_PROP_FPS :
case CV_CAP_PROP_OPENNI_FRAME_MAX_DEPTH :
case CV_CAP_PROP_OPENNI_BASELINE :
case CV_CAP_PROP_OPENNI_FOCAL_LENGTH :
case CV_CAP_PROP_OPENNI_REGISTRATION :
propValue = getDepthGeneratorProperty( propIdx );
break;
case CV_CAP_PROP_OPENNI2_SYNC :
propValue = const_cast<CvCapture_OpenNI2 *>(this)->device.getDepthColorSyncEnabled();
case CV_CAP_PROP_OPENNI2_MIRROR:
{
bool isMirroring = color.getMirroringEnabled() && depth.getMirroringEnabled();
propValue = isMirroring ? 1.0 : 0.0;
break;
}
default :
CV_Error( CV_StsBadArg, cv::format("Such parameter (propIdx=%d) isn't supported for getting.\n", propIdx) );
}
return propValue;
}
bool CvCapture_OpenNI2::setCommonProperty( int propIdx, double propValue )
{
bool isSet = false;
switch( propIdx )
{
case CV_CAP_PROP_OPENNI2_MIRROR:
{
bool mirror = propValue > 0.0 ? true : false;
isSet = color.setMirroringEnabled(mirror) == openni::STATUS_OK;
isSet = depth.setMirroringEnabled(mirror) == openni::STATUS_OK;
}
break;
// There is a set of properties that correspond to depth generator by default
// (is they are pass without particular generator flag).
case CV_CAP_PROP_OPENNI_REGISTRATION:
isSet = setDepthGeneratorProperty( propIdx, propValue );
break;
case CV_CAP_PROP_OPENNI2_SYNC:
isSet = device.setDepthColorSyncEnabled(propValue > 0.0) == openni::STATUS_OK;
break;
default:
CV_Error( CV_StsBadArg, cv::format("Such parameter (propIdx=%d) isn't supported for setting.\n", propIdx) );
}
return isSet;
}
double CvCapture_OpenNI2::getDepthGeneratorProperty( int propIdx ) const
{
double propValue = 0;
if( !depth.isValid() )
return propValue;
openni::VideoMode mode;
switch( propIdx )
{
case CV_CAP_PROP_OPENNI_GENERATOR_PRESENT :
CV_DbgAssert(depth.isValid());
propValue = 1.;
break;
case CV_CAP_PROP_FRAME_WIDTH :
propValue = depth.getVideoMode().getResolutionX();
break;
case CV_CAP_PROP_FRAME_HEIGHT :
propValue = depth.getVideoMode().getResolutionY();
break;
case CV_CAP_PROP_FPS :
mode = depth.getVideoMode();
propValue = mode.getFps();
break;
case CV_CAP_PROP_OPENNI_FRAME_MAX_DEPTH :
propValue = depth.getMaxPixelValue();
break;
case CV_CAP_PROP_OPENNI_BASELINE :
propValue = baseline;
break;
case CV_CAP_PROP_OPENNI_FOCAL_LENGTH :
propValue = (double)depthFocalLength_VGA;
break;
case CV_CAP_PROP_OPENNI_REGISTRATION :
propValue = device.getImageRegistrationMode();
break;
case CV_CAP_PROP_POS_MSEC :
propValue = (double)depthFrame.getTimestamp();
break;
case CV_CAP_PROP_POS_FRAMES :
propValue = depthFrame.getFrameIndex();
break;
default :
CV_Error( CV_StsBadArg, cv::format("Depth generator does not support such parameter (propIdx=%d) for getting.\n", propIdx) );
}
return propValue;
}
bool CvCapture_OpenNI2::setDepthGeneratorProperty( int propIdx, double propValue )
{
bool isSet = false;
CV_Assert( depth.isValid() );
switch( propIdx )
{
case CV_CAP_PROP_OPENNI_REGISTRATION:
{
if( propValue < 1.0 ) // "on"
{
// if there isn't image generator (i.e. ASUS XtionPro doesn't have it)
// then the property isn't avaliable
if ( color.isValid() )
{
openni::ImageRegistrationMode mode = propValue < 1.0 ? openni::IMAGE_REGISTRATION_DEPTH_TO_COLOR : openni::IMAGE_REGISTRATION_OFF;
if( !device.getImageRegistrationMode() == mode )
{
if (device.isImageRegistrationModeSupported(mode))
{
openni::Status status = device.setImageRegistrationMode(mode);
if( status != openni::STATUS_OK )
CV_Error(CV_StsError, cv::format("CvCapture_OpenNI2::setDepthGeneratorProperty : %s\n", openni::OpenNI::getExtendedError()));
else
isSet = true;
}
else
CV_Error(CV_StsError, cv::format("CvCapture_OpenNI2::setDepthGeneratorProperty : Unsupported viewpoint.\n"));
}
else
isSet = true;
}
}
else // "off"
{
openni::Status status = device.setImageRegistrationMode(openni::IMAGE_REGISTRATION_OFF);
if( status != openni::STATUS_OK )
CV_Error(CV_StsError, cv::format("CvCapture_OpenNI2::setDepthGeneratorProperty : %s\n", openni::OpenNI::getExtendedError()));
else
isSet = true;
}
}
break;
default:
CV_Error( CV_StsBadArg, cv::format("Depth generator does not support such parameter (propIdx=%d) for setting.\n", propIdx) );
}
return isSet;
}
double CvCapture_OpenNI2::getImageGeneratorProperty( int propIdx ) const
{
double propValue = 0.;
if( !color.isValid() )
return propValue;
openni::VideoMode mode;
switch( propIdx )
{
case CV_CAP_PROP_OPENNI_GENERATOR_PRESENT :
CV_DbgAssert( color.isValid() );
propValue = 1.;
break;
case CV_CAP_PROP_FRAME_WIDTH :
propValue = color.getVideoMode().getResolutionX();
break;
case CV_CAP_PROP_FRAME_HEIGHT :
propValue = color.getVideoMode().getResolutionY();
break;
case CV_CAP_PROP_FPS :
propValue = color.getVideoMode().getFps();
break;
case CV_CAP_PROP_POS_MSEC :
propValue = (double)colorFrame.getTimestamp();
break;
case CV_CAP_PROP_POS_FRAMES :
propValue = (double)colorFrame.getFrameIndex();
break;
default :
CV_Error( CV_StsBadArg, cv::format("Image generator does not support such parameter (propIdx=%d) for getting.\n", propIdx) );
}
return propValue;
}
bool CvCapture_OpenNI2::setImageGeneratorProperty(int propIdx, double propValue)
{
bool isSet = false;
if( !color.isValid() )
return isSet;
switch( propIdx )
{
case CV_CAP_PROP_OPENNI_OUTPUT_MODE :
{
openni::VideoMode mode = color.getVideoMode();
switch( cvRound(propValue) )
{
case CV_CAP_OPENNI_VGA_30HZ :
mode.setResolution(640,480);
mode.setFps(30);
break;
case CV_CAP_OPENNI_SXGA_15HZ :
mode.setResolution(1280, 960);
mode.setFps(15);
break;
case CV_CAP_OPENNI_SXGA_30HZ :
mode.setResolution(1280, 960);
mode.setFps(30);
break;
case CV_CAP_OPENNI_QVGA_30HZ :
mode.setResolution(320, 240);
mode.setFps(30);
break;
case CV_CAP_OPENNI_QVGA_60HZ :
mode.setResolution(320, 240);
mode.setFps(60);
break;
default :
CV_Error( CV_StsBadArg, "Unsupported image generator output mode.\n");
}
openni::Status status = color.setVideoMode( mode );
if( status != openni::STATUS_OK )
CV_Error(CV_StsError, cv::format("CvCapture_OpenNI2::setImageGeneratorProperty : %s\n", openni::OpenNI::getExtendedError()));
else
isSet = true;
break;
}
default:
CV_Error( CV_StsBadArg, cv::format("Image generator does not support such parameter (propIdx=%d) for setting.\n", propIdx) );
}
return isSet;
}
bool CvCapture_OpenNI2::grabFrame()
{
if( !isOpened() )
return false;
bool isGrabbed = false;
openni::Status status = openni::OpenNI::waitForAnyStream(streams, numStream, ¤tStream, CV_STREAM_TIMEOUT);
if( status != openni::STATUS_OK )
return false;
if( depth.isValid() )
depth.readFrame(&depthFrame);
if (color.isValid())
color.readFrame(&colorFrame);
isGrabbed = true;
return isGrabbed;
}
inline void getDepthMapFromMetaData(const openni::VideoFrameRef& depthMetaData, cv::Mat& depthMap, int noSampleValue, int shadowValue)
{
depthMap.create(depthMetaData.getHeight(), depthMetaData.getWidth(), CV_16UC1);
depthMap.data = (uchar*)depthMetaData.getData();
cv::Mat badMask = (depthMap == (double)noSampleValue) | (depthMap == (double)shadowValue) | (depthMap == 0);
// mask the pixels with invalid depth
depthMap.setTo( cv::Scalar::all( CvCapture_OpenNI2::INVALID_PIXEL_VAL ), badMask );
}
IplImage* CvCapture_OpenNI2::retrieveDepthMap()
{
if( !depth.isValid() )
return 0;
getDepthMapFromMetaData( depthFrame, outputMaps[CV_CAP_OPENNI_DEPTH_MAP].mat, noSampleValue, shadowValue );
return outputMaps[CV_CAP_OPENNI_DEPTH_MAP].getIplImagePtr();
}
IplImage* CvCapture_OpenNI2::retrievePointCloudMap()
{
if( !depthFrame.isValid() )
return 0;
cv::Mat depthImg;
getDepthMapFromMetaData(depthFrame, depthImg, noSampleValue, shadowValue);
const int badPoint = INVALID_PIXEL_VAL;
const float badCoord = INVALID_COORDINATE_VAL;
int cols = depthFrame.getWidth(), rows = depthFrame.getHeight();
cv::Mat pointCloud_XYZ( rows, cols, CV_32FC3, cv::Scalar::all(badPoint) );
float worldX, worldY, worldZ;
for( int y = 0; y < rows; y++ )
{
for (int x = 0; x < cols; x++)
{
openni::CoordinateConverter::convertDepthToWorld(depth, x, y, depthImg.at<unsigned short>(y, x), &worldX, &worldY, &worldZ);
if (depthImg.at<unsigned short>(y, x) == badPoint) // not valid
pointCloud_XYZ.at<cv::Point3f>(y, x) = cv::Point3f(badCoord, badCoord, badCoord);
else
{
pointCloud_XYZ.at<cv::Point3f>(y, x) = cv::Point3f(worldX*0.001f, worldY*0.001f, worldZ*0.001f); // from mm to meters
}
}
}
outputMaps[CV_CAP_OPENNI_POINT_CLOUD_MAP].mat = pointCloud_XYZ;
return outputMaps[CV_CAP_OPENNI_POINT_CLOUD_MAP].getIplImagePtr();
}
static void computeDisparity_32F( const openni::VideoFrameRef& depthMetaData, cv::Mat& disp, double baseline, int F, int noSampleValue, int shadowValue)
{
cv::Mat depth;
getDepthMapFromMetaData( depthMetaData, depth, noSampleValue, shadowValue );
CV_Assert( depth.type() == CV_16UC1 );
// disparity = baseline * F / z;
float mult = (float)(baseline /*mm*/ * F /*pixels*/);
disp.create( depth.size(), CV_32FC1);
disp = cv::Scalar::all( CvCapture_OpenNI2::INVALID_PIXEL_VAL );
for( int y = 0; y < disp.rows; y++ )
{
for( int x = 0; x < disp.cols; x++ )
{
unsigned short curDepth = depth.at<unsigned short>(y,x);
if( curDepth != CvCapture_OpenNI2::INVALID_PIXEL_VAL )
disp.at<float>(y,x) = mult / curDepth;
}
}
}
IplImage* CvCapture_OpenNI2::retrieveDisparityMap()
{
if (!depthFrame.isValid())
return 0;
cv::Mat disp32;
computeDisparity_32F(depthFrame, disp32, baseline, depthFocalLength_VGA, noSampleValue, shadowValue);
disp32.convertTo( outputMaps[CV_CAP_OPENNI_DISPARITY_MAP].mat, CV_8UC1 );
return outputMaps[CV_CAP_OPENNI_DISPARITY_MAP].getIplImagePtr();
}
IplImage* CvCapture_OpenNI2::retrieveDisparityMap_32F()
{
if (!depthFrame.isValid())
return 0;
computeDisparity_32F(depthFrame, outputMaps[CV_CAP_OPENNI_DISPARITY_MAP_32F].mat, baseline, depthFocalLength_VGA, noSampleValue, shadowValue);
return outputMaps[CV_CAP_OPENNI_DISPARITY_MAP_32F].getIplImagePtr();
}
IplImage* CvCapture_OpenNI2::retrieveValidDepthMask()
{
if (!depthFrame.isValid())
return 0;
cv::Mat d;
getDepthMapFromMetaData(depthFrame, d, noSampleValue, shadowValue);
outputMaps[CV_CAP_OPENNI_VALID_DEPTH_MASK].mat = d != CvCapture_OpenNI2::INVALID_PIXEL_VAL;
return outputMaps[CV_CAP_OPENNI_VALID_DEPTH_MASK].getIplImagePtr();
}
inline void getBGRImageFromMetaData( const openni::VideoFrameRef& imageMetaData, cv::Mat& bgrImage )
{
cv::Mat bufferImage;
if( imageMetaData.getVideoMode().getPixelFormat() != openni::PIXEL_FORMAT_RGB888 )
CV_Error( CV_StsUnsupportedFormat, "Unsupported format of grabbed image\n" );
bgrImage.create(imageMetaData.getHeight(), imageMetaData.getWidth(), CV_8UC3);
bufferImage.create(imageMetaData.getHeight(), imageMetaData.getWidth(), CV_8UC3);
bufferImage.data = (uchar*)imageMetaData.getData();
cv::cvtColor(bufferImage, bgrImage, cv::COLOR_RGB2BGR);
}
IplImage* CvCapture_OpenNI2::retrieveBGRImage()
{
if( !color.isValid() )
return 0;
getBGRImageFromMetaData( colorFrame, outputMaps[CV_CAP_OPENNI_BGR_IMAGE].mat );
return outputMaps[CV_CAP_OPENNI_BGR_IMAGE].getIplImagePtr();
}
IplImage* CvCapture_OpenNI2::retrieveGrayImage()
{
if (!colorFrame.isValid())
return 0;
CV_Assert(colorFrame.getVideoMode().getPixelFormat() == openni::PIXEL_FORMAT_RGB888); // RGB
cv::Mat rgbImage;
getBGRImageFromMetaData(colorFrame, rgbImage);
cv::cvtColor( rgbImage, outputMaps[CV_CAP_OPENNI_GRAY_IMAGE].mat, CV_BGR2GRAY );
return outputMaps[CV_CAP_OPENNI_GRAY_IMAGE].getIplImagePtr();
}
IplImage* CvCapture_OpenNI2::retrieveFrame( int outputType )
{
IplImage* image = 0;
CV_Assert( outputType < outputMapsTypesCount && outputType >= 0);
if( outputType == CV_CAP_OPENNI_DEPTH_MAP )
{
image = retrieveDepthMap();
}
else if( outputType == CV_CAP_OPENNI_POINT_CLOUD_MAP )
{
image = retrievePointCloudMap();
}
else if( outputType == CV_CAP_OPENNI_DISPARITY_MAP )
{
image = retrieveDisparityMap();
}
else if( outputType == CV_CAP_OPENNI_DISPARITY_MAP_32F )
{
image = retrieveDisparityMap_32F();
}
else if( outputType == CV_CAP_OPENNI_VALID_DEPTH_MASK )
{
image = retrieveValidDepthMask();
}
else if( outputType == CV_CAP_OPENNI_BGR_IMAGE )
{
image = retrieveBGRImage();
}
else if( outputType == CV_CAP_OPENNI_GRAY_IMAGE )
{
image = retrieveGrayImage();
}
return image;
}
CvCapture* cvCreateCameraCapture_OpenNI( int index )
{
CvCapture_OpenNI2* capture = new CvCapture_OpenNI2( index );
if( capture->isOpened() )
return capture;
delete capture;
return 0;
}
CvCapture* cvCreateFileCapture_OpenNI( const char* filename )
{
CvCapture_OpenNI2* capture = new CvCapture_OpenNI2( filename );
if( capture->isOpened() )
return capture;
delete capture;
return 0;
}
#endif