DocumentCode :
3105630
Title :
JanusVF: Accurate Navigation Using SCAAT and Virtual Fiducials
Author :
Hutson, Malcolm ; White, Steven ; Reiners, Dirk
Author_Institution :
University of Louisiana at Lafayette e-mail: malcolm@louisiana.edu
fYear :
2009
fDate :
14-18 March 2009
Firstpage :
43
Lastpage :
50
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 [24] 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 backwards (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 [25] and integrated by a single-constraint-at-a-time (SCAAT) [26] filter algorithm to update the head pose. Early experiments in a six-sided CAVE-like system show performance that is comparable to alternative commercial technologies.
Keywords :
Cameras; Displays; Filters; Hardware; Layout; Navigation; Robustness; Sensor systems; Software systems; Virtual reality; H.5.2 [Information Interfaces and Presentation (I.7)]: User Interfaces (D.2.2, H.1.2, I.3.6)¿Evaluation/methodology, Input devices and strategies; I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism¿Virtual reality; I.4.8 [Image Processing and Computer Vision]: Scene Analysis¿Stereo, Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Virtual Reality Conference, 2009. VR 2009. IEEE
Conference_Location :
Lafayette, LA
ISSN :
1087-8270
Print_ISBN :
978-1-4244-3943-0
Electronic_ISBN :
1087-8270
Type :
conf
DOI :
10.1109/VR.2009.4810997
Filename :
4810997
Link To Document :
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