sudo apt-get install ros-<rosdistro>-openni-camera sudo apt-get install ros-<rosdistro>-openni-launch

mkdir ~/kinectdriver
cd ~/kinectdriver
git clone https://github.com/avin2/SensorKinect
cd SensorKinect/Bin/
tar xvjf SensorKinect093-Bin-Linux-x64-v5.1.2.1.tar.bz2
cd Sensor-Bin-Linux-x64-v5.1.2.1/
sudo ./install.sh

USB interface is not supported!

$ sudo gedit /etc/openni/GlobalDefaults.ini

;UsbInterface=2

rosrun image_view extract_images _sec_per_frame:=0.1 image:=/camera/rgb/image_color

rosrun image_view image_saver image:=/camera/depth_registered/image_raw _encoding:=16UC1 _filename_format:="image%04i.png"

/* Este es un nodo de ROS Indigo para guardar imagenes de /camera/depth_registered/image_rect_raw* y de /camera/rgb/color/image_rect_raw de un Turtlebot1 para luego procesarlas con otro programa. * Las de profundidad se guardan como unsigned int de 16 bits * y 1 canal, las de color se guardan como unsigned int de 8 bits en 3 canales.* Se utiliza un suscriptor sincronizado para guardar el par de imagenes que estén más* cercanas en el tiempo.* LAS IMAGENES SE GUARDAN ADONDE SE EJECUTE EL NODO.* ---------------------------------------------------------* Creado por Fabricio Emder y Pablo Aguado en el 2016 *//* This is a ROS Indigo node for saving Turtlebot images from the /camera/depth_registered/image_rect_raw* and /camera/rgb/color/image_rect_raw topics, for further processing outside of the program. * Depth images are saved as 1 channel 16 bit unsigned int PNGs (CV_16UC1), and * RGB images are saved as 3 channel 8 bit unsigned int PNGs (CV_8UC3).* A synchronized subscriber is used, for saving the pair of images that are most closer in time.* THE IMAGES ARE SAVED WHEREVER THE NODE IS RUN.* Created by Fabricio Emder and Pablo Aguado - 2016* */#include <ros/ros.h>
#include <cv_bridge/cv_bridge.h>  // OpenCV
#include <sensor_msgs/Image.h>
#include <sensor_msgs/image_encodings.h>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>#include <message_filters/subscriber.h>
#include <message_filters/synchronizer.h>/* La política de sincronización exacta NO FUNCIONA para los topics seleccionados, ya * que la Kinect o sus drivers no los están publicando con la misma marca temporal.* Ver más en http://wiki.ros.org/message_filters * * Exact sychronization policy IS NOT WORKING for the topics used, because the kinect* is not publishing them with the same timestamp. * See more in http://wiki.ros.org/message_filters  *///#define EXACT
#define APPROXIMATE#ifdef EXACT
#include <message_filters/sync_policies/exact_time.h>
#endif
#ifdef APPROXIMATE
#include <message_filters/sync_policies/approximate_time.h>
#endifusing namespace std;
//using namespace sensor_msgs;
using namespace message_filters;// Contador para la numeración de los archivos.
// Counter for filenames.
unsigned int cnt = 1;// Handler / callback
void callback( const sensor_msgs::ImageConstPtr& msg_rgb , const sensor_msgs::ImageConstPtr& msg_depth )
{ROS_INFO_STREAM(" callback\n");cv_bridge::CvImagePtr img_ptr_rgb;cv_bridge::CvImagePtr img_ptr_depth;try{img_ptr_depth = cv_bridge::toCvCopy(*msg_depth, sensor_msgs::image_encodings::TYPE_16UC1);//TYPE_16UC1 TYPE_32FC1}catch (cv_bridge::Exception& e){ROS_ERROR("cv_bridge exception:  %s", e.what());return;}try{img_ptr_rgb = cv_bridge::toCvCopy(*msg_rgb, sensor_msgs::image_encodings::BGR8);//TYPE_8UC3  BGR8}catch (cv_bridge::Exception& e){ROS_ERROR("cv_bridge exception:  %s", e.what());return;}
ROS_INFO_STREAM(" convert ok!\n");cv::Mat& mat_depth = img_ptr_depth->image;cv::Mat& mat_rgb = img_ptr_rgb->image;char file_rgb[100];char file_depth[100];sprintf( file_rgb, "%04d_rgb.png", cnt );sprintf( file_depth, "%04d_depth.png", cnt );vector<int> png_parameters;png_parameters.push_back( CV_IMWRITE_PNG_COMPRESSION );/* We save with no compression for faster processing.* Guardamos PNG sin compresión para menor retardo. */png_parameters.push_back( 9 ); cv::imwrite( file_rgb , mat_rgb, png_parameters );cv::imwrite( file_depth, mat_depth, png_parameters );ROS_INFO_STREAM(cnt << "\n");ROS_INFO_STREAM("Ok!""Images saved\n");cnt++;}int main(int argc, char** argv)
{// Initialize the ROS system and become a node.ros::init(argc, argv, "guardar_imagenes");ros::NodeHandle nh;message_filters::Subscriber<sensor_msgs::Image> subscriber_depth( nh , "/camera/depth/image_raw" , 1 );message_filters::Subscriber<sensor_msgs::Image> subscriber_rgb( nh , "/camera/rgb/image_raw" , 1 );#ifdef EXACTtypedef sync_policies::ExactTime<sensor_msgs::Image, sensor_msgs::Image> MySyncPolicy;
#endif
#ifdef APPROXIMATEtypedef sync_policies::ApproximateTime<sensor_msgs::Image, sensor_msgs::Image> MySyncPolicy;
#endif// ExactTime or ApproximateTime take a queue size as its constructor argument, hence MySyncPolicy(10)Synchronizer<MySyncPolicy> sync(MySyncPolicy(10), subscriber_rgb, subscriber_depth );sync.registerCallback(boost::bind(&callback, _1, _2));while(ros::ok()){char c;ROS_INFO_STREAM("\nIngrese 'a' para guardar un par de imágenes o 'b' para guardar 300 imágenes\n""Enter 'a' to save a pair of images or 'b' to automatically save 300 images\n");cin.get(c);cin.ignore();c = tolower(c);ROS_INFO_STREAM("You entered " << c << "\n");if( c == 'a' ){/* Le damos el control a la función callback cuando haya imágenes.* We give control to the callback function.*/ROS_INFO_STREAM("I am running! \n");      ros::spin();    ROS_INFO_STREAM("I am OVER! \n"); }else if( c == 'b' ){unsigned int cnt_init = cnt;while( cnt - cnt_init < 300 ){ros::spinOnce();}}else break;}ROS_INFO_STREAM("Cerrando nodo\nClosing node\n");return 0;
}