I am trying to convert a laser scan into point cloud so i can use its cartesian cordintes for computer vision purpose. But when i do it it seems like the width of point cloud converted is only 1. Before this i was using kinect sensor where both height and width were not 1. i'm getting confused to use the hokuyo sensor/multisense sensor. I am using gazbo for getting the lidar scan data. To convert lidar scan into pointcloud2 data i'm using this program:

#include <ros/ros.h>

    #include <tf/transform_listener.h>
    #include <laser_geometry/laser_geometry.h>

    class My_Filter {
     public:
        My_Filter();
        void scanCallback(const sensor_msgs::LaserScan::ConstPtr& scan);
     private:
        ros::NodeHandle node_;
        laser_geometry::LaserProjection projector_;
        tf::TransformListener tfListener_;

        ros::Publisher point_cloud_publisher_;
        ros::Subscriber scan_sub_;
};

My_Filter::My_Filter(){
        scan_sub_ = node_.subscribe<sensor_msgs::LaserScan> ("/multisense/lidar_scan", 100, 

&My_Filter::scanCallback, this);
            point_cloud_publisher_ = node_.advertise<sensor_msgs::PointCloud2> ("/my_cloud", 100, false);
                tfListener_.setExtrapolationLimit(ros::Duration(0.1));
        }
void My_Filter::scanCallback(const sensor_msgs::LaserScan::ConstPtr& scan){
    sensor_msgs::PointCloud2 cloud;
    projector_.transformLaserScanToPointCloud("/head", *scan, cloud, tfListener_);
    point_cloud_publisher_.publish(cloud);
}

int main(int argc, char** argv)
{
    ros::init(argc, argv, "my_filter");

    My_Filter filter;

    ros::spin();

    return 0;
}

Here when i run this node, the height of point cloud is fine but width is only 1. and when i visualize the laser scan or pointcloud or pointcloud2 in rviz even when the lidar is rotating i can only see 2-d points as shown in below screenshot. Why is this happening. what should i do to convert it into 3d point cloud? Here all the point lies in single plane.

I need the point data like from kinect sensor which will have height and weight, and where the points will be in cartesian form.