Abstract Several common systems satisfy some but not all of the VR This paper describes the CAVE (CAVE Automatic Virtual Environment) virtual reality/scientific visualization system in detail and demonstrates that projection technology applied to virtual-reality goals achieves a system that matches

the computation complexity, limited resolution, or quantization artifacts of previous volumetric approaches. We demonstrate the use of this algorithm in a real-time virtualized reality application running off a small number of video streams.

The role of computers in the modern office has tended to split our activities between virtual interactions in the realm of the computer and physical interactions with real objects that have been part of the traditional office infrastructure. This paper discusses a variety of scenarios we have

This paper describes Steve, an animated agent that helps students learn to perform physical, procedural tasks. The student and Steve cohabit a three-dimensional, simulated mock-up of the student's work environment. Steve can demonstrate how to perform tasks and can also monitor students while

mass-spring and other adaptive approaches. In particular, damped elastic vibration modes are shown to be nearly unchanged for several levels of refinement. Results are presented in the context of a virtual reality system. The user interacts in real-time with the dynamic object through the control of a

Accurate registration between real and virtual objects is crucial for augmented reality applications. Existing tracking methods are individually inadequate: magnetic trackers are inaccurate, mechanical trackers are cumbersome, and vision-based trackers are computationally problematic. We present a

In Augmented Reality, see-through HMDs superimpose virtual 3D objects on the real world. This technology has the potential to enhance a user’s perception and interaction with the real world. However, many Augmented Reality applications will not be accepted until we can accurately register virtual

, the view of the scene is determined at the transcription time, independent of the viewer. We have been developing a new visual medium called virtualized reality. It delays the selection of the viewing angle till view time, using techniques from computer vision and computer graphics. The visual event

by 1) tracking regions and color fiducial points at frame rate, and 2) representing virtual objects in a non-Euclidean, affine frame of reference that allows their projection to be computed as a linear combination of the projection of the fiducial points. Experimental results on two augmented reality

This paper explores techniques for evaluating and improving immersion in Desktop Virtual Reality (VR). Three experiments are reported which extend findings on immersion in VR reported by Pausch et al. [9]. In the current experiments, a visual search paradigm was used to examine navigation