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Through an AR Lens: Augmented Reality Magnification through Feature Detection and Matching

Published: 24 January 2023 Publication History

Abstract

Sensing and Augmented Reality (AR) can benefit a wide range of applications that involve the use of magnifying lenses. Recent developments in AR magnification provide a direct overlay of the magnified scenes in AR. However, instrumentation tasks that require high precision and visual acuity need to selectively magnify a region of interest while maintaining the visual perception of the rest of the environment. In this demo, we present AR-Magnifier, an AR magnification system through feature detection and matching. We propose a general framework based on an edge-computing architecture that can be applied to various types of instrumentation tasks. A pipeline is developed for detecting feature points and computing the homography matching to identify the magnified region of an object. We showcase how selective magnification in AR through sensing can assist the user in complex instrumentation tasks by providing visualization-based guidance.

References

[1]
Kittipat Apicharttrisorn, Xukan Ran, Jiasi Chen, Srikanth V Krishnamurthy, and Amit K Roy-Chowdhury. 2019. Frugal following: power thrifty object detection and tracking for mobile augmented reality. In Proc. ACM SenSys.
[2]
Zubin Choudhary, Jesus Ugarte, Gerd Bruder, and Greg Welch. 2021. Real-time magnification in augmented reality. In Proc. ACM SUI.
[3]
Sangjun Eom, David Sykes, Shervin Rahimpour, and Maria Gorlatova. 2022. NeuroLens: augmented reality-based contextual guidance through surgical tool tracking in neurosurgery. In Proc. IEEE ISMAR.
[4]
Long Qian, Tianyu Song, Mathias Unberath, and Peter Kazanzides. 2022. AR-Loupe: magnified augmented reality by combining an optical see-through head-mounted display and a loupe. IEEE Transactions on Visualization and Computer Graphics, 28, 7, 2550--2562.
[5]
Hessam Roodaki, Konstantinos Filippatos, Abouzar Eslami, and Nassir Navab. 2015. Introducing augmented reality to optical coherence tomography in ophthalmic microsurgery. In Proc. IEEE ISMAR.
[6]
Lee Stearns, Leah Findlater, and Jon E Froehlich. 2018. Design of an augmented reality magnification aid for low vision users. In Proc. ACM ASSETS.

Cited By

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  • (2024)Virtual Keymysteries Unveiled: Detecting Keystrokes in VR with External Side-Channels2024 IEEE Security and Privacy Workshops (SPW)10.1109/SPW63631.2024.00031(260-266)Online publication date: 23-May-2024

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  1. Through an AR Lens: Augmented Reality Magnification through Feature Detection and Matching

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    cover image ACM Conferences
    SenSys '22: Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems
    November 2022
    1280 pages
    ISBN:9781450398862
    DOI:10.1145/3560905
    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.

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    New York, NY, United States

    Publication History

    Published: 24 January 2023

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    Author Tags

    1. augmented reality
    2. edge computing
    3. feature detection
    4. magnification

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    SenSys '22 Paper Acceptance Rate 52 of 187 submissions, 28%;
    Overall Acceptance Rate 198 of 990 submissions, 20%

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    • (2024)Virtual Keymysteries Unveiled: Detecting Keystrokes in VR with External Side-Channels2024 IEEE Security and Privacy Workshops (SPW)10.1109/SPW63631.2024.00031(260-266)Online publication date: 23-May-2024

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