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Merge branch 'master' of https://github.com/MarekKowalski/LiveScan3d.git

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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), * 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. * increasing the density of a point cloud captured by a single sensor, by having multiple sensors capture the same scene.
You will also find a short presentation of LiveScan3D 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. 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. 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.