Optimal Pose Guided Redirected Walking with Pose Score Precomputation

Xu, Sen‐Zhe; Lv, Tian; He, Guoqing; Chen, Chia-Hao; Zhang, Fang-Lue; Zhang, Song-Hai

doi:10.1109/vr51125.2022.00086

Cited by 10 publications

(3 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Zhang and Xu et al manipulate the reset to optimize the interruption experience. [23][24][25][26] There are few large-scale RDW approaches. The Giant 2 manipulates the avatar size and speed gains.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

DreamWalk: Dynamic remapping and multiperspectivity for large‐scale redirected walking

Xiong

Chen

et al. 2023

Computer Animation & Virtual

View full text Add to dashboard Cite

SummaryRedirected walking (RDW) provides an immersive user experience in virtual reality applications. In RDW, the size of the physical play area is limited, which makes it challenging to design the virtual path in a larger virtual space. Mainstream RDW approaches rigidly manipulate gains to guide the user to follow predetermined rules. However, these methods may cause simulator sickness, boundary collision, and reset. Static mapping approaches warp the virtual path through expensive vertex replacement in the stage of model pre‐processing. They are restricted to narrow spaces with non‐looping pathways, partition walls, and planar surfaces. These methods fail to provide a smooth walking experience for large‐scale open scenes. To tackle these problems, we propose a novel approach that dynamically redirects the user to walk in a non‐linear virtual space. More specifically, we propose a Bezier‐curve‐based mapping algorithm to warp the virtual space dynamically and apply multiperspective fusion for visualization augmentation. We conduct comparable experiments to show its superiority over state‐of‐the‐art large‐scale redirected walking approaches on our self‐collected photogrammetry dataset.

show abstract

Section: Related Workmentioning

confidence: 99%

“…Cheng et al 22 designed a tower climbing game to provide an infinite walking experience. Zhang and Xu et al manipulate the reset to optimize the interruption experience 23‐26 …”

Section: Related Workmentioning

confidence: 99%

DreamWalk: Dynamic remapping and multiperspectivity for large‐scale redirected walking

Xiong

Chen

et al. 2023

Computer Animation & Virtual

View full text Add to dashboard Cite

show abstract

“…Cheng et al 22 designed a tower climbing game to provide an infinite walking experience. Zhang and Xu et al manipulate the reset to optimize the interruption experience 23,24,25,26 .…”

Section: Related Workmentioning

confidence: 99%

DreamWalk: Dynamic Remapping and Multiperspectivity for Large-Scale Redirected Walking

Xiong

Chen

et al. 2023

Preprint

View full text Add to dashboard Cite

Redirected walking (RDW) provides an immersive user experience in virtual reality applications. In RDW, the size of the physical play area is limited, which makes it challenging to design the virtual path in a larger virtual space. Mainstream RDW approaches rigidly manipulate gains to guide the user to follow predetermined rules. However, these methods may cause simulator sickness, boundary collision, and reset. Static mapping approaches warp the virtual path through expensive vertex replacement in the stage of model pre-processing. They are restricted to narrow spaces with non-looping pathways, partition walls, and planar surfaces. These methods fail to provide a smooth walking experience for large-scale open scenes. To tackle these problems, we propose a novel approach that dynamically redirects the user to walk in a non-linear virtual space. More specifically, we propose a Bezier-curve-based mapping algorithm to warp the virtual space dynamically and apply multiperspective fusion for visualization augmentation. We conduct comparable experiments to show its superiority over state-of-the-art large-scale redirected walking approaches on our self-collected photogrammetry dataset.

show abstract

The Role of the Field Dependence-Independence Construct on the Curvature Gain of Redirected Walking Technology in Virtual Reality

Jing,

Lv,

Luan

et al. 2024

Advances in Computer Graphics

View full text Add to dashboard Cite

Optimal Pose Guided Redirected Walking with Pose Score Precomputation

Cited by 10 publications

References 27 publications

DreamWalk: Dynamic remapping and multiperspectivity for large‐scale redirected walking

DreamWalk: Dynamic remapping and multiperspectivity for large‐scale redirected walking

DreamWalk: Dynamic Remapping and Multiperspectivity for Large-Scale Redirected Walking

The Role of the Field Dependence-Independence Construct on the Curvature Gain of Redirected Walking Technology in Virtual Reality

Contact Info

Product

Resources

About