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Regular Paper

ARSlice: Head-Mounted Display Augmented with Dynamic Tracking and Projection

Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
Institute of Semiconductors, Guangdong Academy of Sciences, Guangzhou 510651, China
Data Science Research Division, Information Technology Center, The University of Tokyo, Tokyo 113-8656, Japan
Core Network Department, Advanced Operations Development Division, KDDI Cooperation, Tokyo 206-0034, Japan
Tokyo University of Science, Tokyo 113-8601, Japan
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Abstract

Computed tomography (CT) generates cross-sectional images of the body. Visualizing CT images has been a challenging problem. The emergence of the augmented and virtual reality technology has provided promising solutions. However, existing solutions suffer from tethered display or wireless transmission latency. In this paper, we present ARSlice, a proof-of-concept prototype that can visualize CT images in an untethered manner without wireless transmission latency. Our ARSlice prototype consists of two parts, the user end and the projector end. By employing dynamic tracking and projection, the projector end can track the user-end equipment and project CT images onto it in real time. The user-end equipment is responsible for displaying these CT images into the 3D space. Its main feature is that the user-end equipment is a pure optical device with light weight, low cost, and no energy consumption. Our experiments demonstrate that our ARSlice prototype provides part of six degrees of freedom for the user, and a high frame rate. By interactively visualizing CT images into the 3D space, our ARSlice prototype can help untrained users better understand that CT images are slices of a body.

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Journal of Computer Science and Technology
Pages 666-679

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Cite this article:
Wang Y-P, Xie S-W, Wang L-H, et al. ARSlice: Head-Mounted Display Augmented with Dynamic Tracking and Projection. Journal of Computer Science and Technology, 2022, 37(3): 666-679. https://doi.org/10.1007/s11390-022-2173-y

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Received: 20 January 2022
Accepted: 24 April 2022
Published: 31 May 2022
©Institute of Computing Technology, Chinese Academy of Sciences 2022