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Marek
2015-10-16 18:16:10 +02:00
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@@ -6,7 +6,7 @@ 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 find examples of the first two use scenarios in the video below (click to go to YouTube): 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) [![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.