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A mapping-based redirected walking algorithm for large-scale VR
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AI
DOI：10.1007/s10055-023-00841-9.png)
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摘要
En 中文
In VR, the size mismatch between virtual and real space is one of the difficulties, so walking through a large-scale VR scene in a real small area (tracking space) is a challenging problem. We design a novel redirected walking (RDW) algorithm based on a mapping approach to direct users away from the boundary of the tracking area with low rotational distortion. First, the virtual path is decomposed into a set of segments. Then, each segment is mapped into curves and stitched together by minimizing the internal energy with smoothness constraints between adjacent curves. Ultimately, we obtain continuous and smooth curves in the real space. We conduct both simulated and live-user studies to validate the algorithm. Experimental results show that our algorithm has no reset compared with other RDW methods, can significantly speed up and smooth the navigation, reduce perceptual distortion, and show the potential to steer multi-user simultaneously in realtime.
Keyword:
Virtual Reality
Real Walking
Redirected Walking
Internal Energy
期刊
IF:
5
论文数:
1.3K
被引数:
4.5K
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