Title
JanusVF: accurate navigation using SCAAT and virtual fiducials.
Abstract
Several critical limitations exist in the currently available tracking technologies for fully enclosed virtual reality (VR) systems. While several 6DOF tracking projects such as Hedgehog have successfully demonstrated excellent accuracy, precision, and robustness within moderate budgets, these projects still include elements of hardware that can interfere with the user's visual experience. The objective of this project is to design a tracking solution for fully enclosed VR displays that achieves comparable performance to available commercial solutions but without any artifacts that can obscure the user's view. JanusVF is a tracking solution involving a cooperation of both the hardware sensors and the software rendering system. A small, high-resolution camera is worn on the user's head, but faces backward (180 degree rotation about vertical from the user's perspective). After acquisition of the initial state, the VR rendering software draws specific fiducial markers with known size and absolute position inside the VR scene. These virtual markers are only drawn behind the user and in view of the camera. These fiducials are tracked by ARToolkitPlus and integrated by a single-constraint-at-a-time (SCAAT) filter algorithm to update the head pose. Experiments analyzing accuracy, precision, and latency in a six-sided CAVE-like system show performance that is comparable to alternative commercial technologies.
Year
DOI
Venue
2011
10.1109/TVCG.2010.91
VR
Keywords
Field
DocType
head,tracking,stereo,hardware,virtual reality,kalman filters
Graphics,Computer vision,Fiducial marker,Virtual reality,Computer graphics (images),Computer science,Robustness (computer science),Kalman filter,Software system,Artificial intelligence,Software rendering,Filter algorithm
Journal
Volume
Issue
ISSN
17
1
1941-0506
Citations 
PageRank 
References 
1
0.35
16
Authors
3
Name
Order
Citations
PageRank
Malcolm Hutson110.69
steven w white210.35
Dirk Reiners310915.14