Exemplo n.º 1
0
void PCDReader::Read() {
	  pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_xyz (new pcl::PointCloud<pcl::PointXYZ>);
	  if (pcl::io::loadPCDFile<pcl::PointXYZ> (filename, *cloud_xyz) == -1) //* load the file
	  {
		cout <<"Błąd"<<endl;
	  }
	  out_cloud_xyz.write(cloud_xyz);

	  pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud_xyzrgb (new pcl::PointCloud<pcl::PointXYZRGB>);
	  if (pcl::io::loadPCDFile<pcl::PointXYZRGB> (filename, *cloud_xyzrgb) == -1) //* load the file
	  {
		cout <<"Błąd"<<endl;
	  }
	  out_cloud_xyzrgb.write(cloud_xyzrgb);

	  pcl::PointCloud<PointXYZSIFT>::Ptr cloud_xyzsift (new pcl::PointCloud<PointXYZSIFT>);
	  if (pcl::io::loadPCDFile<PointXYZSIFT> (filename, *cloud_xyzsift) == -1) //* load the file
	  {
		cout <<"Błąd"<<endl;
	  }
	  out_cloud_xyzsift.write(cloud_xyzsift);
}
Exemplo n.º 2
0
void PCDReader::Read() {
	CLOG(LTRACE) << "PCDReader::Read\n";
	// Try to read the cloud of XYZ points.
	pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_xyz (new pcl::PointCloud<pcl::PointXYZ>);
/*
	if (pcl::io::loadPCDFile<pcl::PointXYZ> (filename, *cloud_xyz) == -1){
		CLOG(LWARNING) <<"Cannot read PointXYZ cloud from "<<filename;
	}else{
		out_cloud_xyz.write(cloud_xyz);
		CLOG(LINFO) <<"PointXYZ size: "<<cloud_xyz->size();
		CLOG(LINFO) <<"PointXYZ cloud loaded properly from "<<filename;
        //return;
	}// else
*/
	  
	// Try to read the cloud of XYZRGB points.
	pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud_xyzrgb (new pcl::PointCloud<pcl::PointXYZRGB>);
	if (pcl::io::loadPCDFile<pcl::PointXYZRGB> (filename, *cloud_xyzrgb) == -1){
		CLOG(LWARNING) <<"Cannot read PointXYZRGB cloud from "<<filename;
	}else{
		out_cloud_xyzrgb.write(cloud_xyzrgb);
		CLOG(LINFO) <<"PointXYZRGB cloud loaded properly from "<<filename;
        //return;
	}// else

	// Try to read the cloud of XYZSIFT points.
	pcl::PointCloud<PointXYZSIFT>::Ptr cloud_xyzsift (new pcl::PointCloud<PointXYZSIFT>);
    if (pcl::io::loadPCDFile<PointXYZSIFT> (filename, *cloud_xyzsift) == -1){
    	CLOG(LWARNING) <<"Cannot read PointXYZSIFT cloud from "<<filename;
	}else{
    	out_cloud_xyzsift.write(cloud_xyzsift);
		CLOG(LINFO) <<"PointXYZSIFT cloud loaded properly from "<<filename;
        //return;
	}// else

}
Exemplo n.º 3
0
void xyzrgb2xyzsift::compute() {
    CLOG(LTRACE) << "xyzrgb2xyzsift::compute";
    pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud = in_cloud_xyzrgb.read();

    cloud->is_dense = true ;

    cv::Mat rgbimg(cloud->height, cloud->width, CV_8UC3, cv::Scalar::all(0)) ;
    for (register int row = 0; row  < cloud->height; row++)
        for (register int col = 0; col < cloud->width ; col++) {
            pcl::PointXYZRGB& pt = cloud->at(col, row) ;
            cv::Vec3b &rgbvec = rgbimg.at<cv::Vec3b>(row, col) ;
            rgbvec[2] = pt.r ; //Creating image for all pixels: normal and NaN
            rgbvec[1] = pt.g ;
            rgbvec[0] = pt.b ;
    }


    std::vector<cv::KeyPoint> keypoints;
    cv::Mat descriptors;
    try {
        //-- Step 1: Detect the keypoints.
        cv::SiftFeatureDetector detector;

        detector.detect(rgbimg, keypoints);

        //-- Step 2: Calculate descriptors (feature vectors).
        cv::SiftDescriptorExtractor extractor;

        extractor.compute( rgbimg, keypoints, descriptors);
    } catch (...) {
        LOG(LERROR) << "sdasdas\n";
    }

    pcl::PointCloud<PointXYZSIFT>::Ptr cloud_xyzsift(new pcl::PointCloud<PointXYZSIFT>);

    //Create output point cloud (this time - unorganized)
    cloud_xyzsift->height = 1 ;
    cloud_xyzsift->width = keypoints.size() ;
    cloud_xyzsift->is_dense = false ;
    cloud_xyzsift->points.resize(cloud_xyzsift->height * cloud_xyzsift->width) ;



    //Convert SIFT keypoints/descriptors into PointXYZRGBSIFT cloud
    pcl::PointCloud<PointXYZSIFT>::iterator pt_iter = cloud_xyzsift->begin();
    for (register int i = 0; i < keypoints.size() ; i++) {

        //std::cout << " " << keypoints[i].pt.x << " " << keypoints[i].pt.y << std::endl ;
        int keyx = std::min(std::max(((unsigned int) round(keypoints[i].pt.x)), 0u), cloud->width) ;
        int keyy = std::min(std::max(((unsigned int) round(keypoints[i].pt.y)), 0u), cloud->height) ;
        //std::cout << keyx << " " << keyy << std::endl ;
        cv::Mat desc = descriptors(cv::Range(i,i + 1), cv::Range::all()) ;
        //std::cout << "descriptor " << desc << std::endl ;

        //Make XYZSIFT point
        PointXYZSIFT& pt_out = *pt_iter++ ;
        pcl::PointXYZRGB& pt_in = cloud->at(keyx, keyy) ;
        pt_out.x = pt_in.x; pt_out.y = pt_in.y; pt_out.z = pt_in.z ;
        for(int j=0; j<descriptors.cols;j++){
            pt_out.descriptor[j] = descriptors.row(i).at<float>(j);
        }
    }

    out_cloud_xyzsift.write(cloud_xyzsift);
}