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Tracking volume

834 bytes added, 11:37, 18 January 2016
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{{see also|Positional tracking}}
[[Tracking volume]] is a term used to describe the size of the area within which the tracking camera is still able to capture user’s physical movements. Usually, the tracking volume is determined by camera’s horizontal and vertical [[field of view]].
For practical reasons, most [[virtual reality]] experiences have been limited to just sitting. Most users simply do not have an area large enough to take advantage of all possibilities that large-scale tracking offers. Despite this fact, [[Oculus]] has successfully demonstrated a room-sized tracking volume experience at E3 2015. By using two cameras mounted on a wall a few feet away from each other, the company has managed to cover an area of approximately 12x12 feet. The tracking space extended from wall to wall and from floor to ceiling.
==Tracking volume for each HMD==
[[File:tracking volume default room1.png|400px]]
 
Default 15 feet by 15 feet room
 
===Oculus Rift DK2===
{{see also|Oculus Rift DK2}}
[[File:oculus rift dk2 tracking volume2.png|400px]]
 
72°H x 52°V (8.2 feet range)
===Oculus Rift CV1===
{{see also|Oculus Rift CV1}}
[[File:oculus rift cv1 tracking volume1.png|270px]] [[File:oculus rift cv1 tracking volume2.png|410px]]
 
100°H x 70°V (>18 feet range)
 
===HTC Vive===
{{see also|HTC Vive}}
[[File:htc vive tracking volume1.png|400px]]
 
120°H x 120°V (>21 feet range)
===PlayStation VR===
{{see also|PlayStation VR}}
[[File:playstation vr tracking volume1.png|400px]]
 
72°H x 45°V (15 feet range estimate)<ref>https://www.reddit.com/r/oculus/comments/41bm6s/vr_headset_tracking_volumes_visualised/</ref>
==Commonly used positional tracking technologies==
There are many different [[positional tracking]] technologies used to determine the exact position of the user inside the tracking volume and change the viewpoint accordingly. Such tracking helps to blur the line between virtual experiences and the real world.
===Marker-less Optical Tracking===
In those cases where the geometry of scene or object is already known, it is possible to utilize various object recognition methods to determine changes in real-time without the need to place any markers on the object.
 
==References==
<references />
[[Category:Terms]]
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