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@@ -6,6 +6,9 @@ The produced 3D reconstruction is in the form of a coloured point cloud, with po
   * capturing a “panoramic” 3D structure of a scene (extending the field of view of one sensor by using many),
   * increasing the density of a point cloud captured by a single sensor, by having multiple sensors capture the same scene.
 
+You will find examples of the first two use scenarios in the video below (click to go to YouTube):
+[![IMAGE ALT TEXT HERE](http://img.youtube.com/vi/9y_WglwpJtE/0.jpg)](http://www.youtube.com/watch?v=9y_WglwpJtE)
+
 At the moment connecting multiple Kinect v2 devices to a single computer is difficult and only possible under Linux. Also, the number of the devices or capture speed might be low, because of the limitations of the PCI-E bus.
 
 Because of those limitations, in our system each Kinect v2 sensor is connected to a separate computer. Each of those computers is connected to a server which governs all of the sensors. The server allows the user to perform calibration, filtering, synchronized frame capture, and to visualize the acquired point cloud live.