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