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Demo: ARFlow: A Framework for Simplifying AR Experimentation Workflow

Published: 28 February 2024 Publication History

Abstract

The recent advancement in computer vision and XR hardware has ignited the community's interest in AR systems research. Similar to traditional systems research, the evaluation of AR systems involves capturing real-world data with AR hardware and iteratively evaluating the targeted system designs [1]. However, it is challenging to conduct scalable and reproducible AR experimentation [2] due to two key reasons. First, there is a lack of integrated framework support in real-world data capturing, which makes it a time-consuming process. Second, AR data often exhibits characteristics, including temporal and spatial variations, and is in a multi-modal format, which makes it difficult to conduct controlled evaluations.

References

[1]
A. Ganj, Y. Zhao, F. Galbiati, and T. Guo. Toward Scalable and Controllable AR Experimentation. In Proceedings of the 1st ACM Workshop on Mobile Immersive Computing, Networking, and Systems, 2023.
[2]
B. Han, P. Pathak, S. Chen, and L.-F. C. Yu. CoMIC: A Collaborative Mobile Immersive Computing Infrastructure for Conducting Multi-user XR Research. IEEE Network, 2022.
[3]
Y. Zhao and T. Guo. Xihe: A 3D Vision-Based Lighting Estimation Framework for Mobile Augmented Reality. In Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys'21, 2021.

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Published In

cover image ACM Conferences
HOTMOBILE '24: Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications
February 2024
167 pages
ISBN:9798400704970
DOI:10.1145/3638550
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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Association for Computing Machinery

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Publication History

Published: 28 February 2024

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  • Demonstration

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  • VMware
  • National Science Foundation

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HOTMOBILE '24
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Overall Acceptance Rate 96 of 345 submissions, 28%

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