Reducing Gross Errors of Perspective 3-point Pose Computation

Lee, Joongul; Park, Jun

doi:10.1007/978-3-642-32645-5_39

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Although tracking by detection can be more stable and accurate using a greater number of features [39], reducing the number of reference points to three represents a valuable feature with regard to computational efficiency of the tracking algorithm. In addition, reducing the number of tracking markers is particularly important for those applications that demand for a reduced logistic impact in the setup phase and that require for limited line-of-sight constraints (e.g., in surgical or industrial applications) [2].…”

Section: Optical Inside-out Tracking Algorithmmentioning

confidence: 99%

Ambiguity-Free Optical–Inertial Tracking for Augmented Reality Headsets

Cutolo

Mamone

Carbonaro

et al. 2020

Sensors

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The increasing capability of computing power and mobile graphics has made possible the release of self-contained augmented reality (AR) headsets featuring efficient head-anchored tracking solutions. Ego motion estimation based on well-established infrared tracking of markers ensures sufficient accuracy and robustness. Unfortunately, wearable visible-light stereo cameras with short baseline and operating under uncontrolled lighting conditions suffer from tracking failures and ambiguities in pose estimation. To improve the accuracy of optical self-tracking and its resiliency to marker occlusions, degraded camera calibrations, and inconsistent lighting, in this work we propose a sensor fusion approach based on Kalman filtering that integrates optical tracking data with inertial tracking data when computing motion correlation. In order to measure improvements in AR overlay accuracy, experiments are performed with a custom-made AR headset designed for supporting complex manual tasks performed under direct vision. Experimental results show that the proposed solution improves the head-mounted display (HMD) tracking accuracy by one third and improves the robustness by also capturing the orientation of the target scene when some of the markers are occluded and when the optical tracking yields unstable and/or ambiguous results due to the limitations of using head-anchored stereo tracking cameras under uncontrollable lighting conditions.

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Section: Optical Inside-out Tracking Algorithmmentioning

confidence: 99%

Ambiguity-Free Optical–Inertial Tracking for Augmented Reality Headsets

Cutolo

Mamone

Carbonaro

et al. 2020

Sensors

View full text Add to dashboard Cite

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Teachers and Technostress During Covid-19 Pandemic: A Modification of Technology Acceptance Model

Anindita,

Lukito,

Amalia

2023

Advances in Social Science, Education and Humanities Research

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Investigating e-Retailers’ Intentions to Adopt Cryptocurrency Considering the Mediation of Technostress and Technology Involvement

Ishfaq

Hussain

et al. 2022

Sustainability

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Cryptocurrencies have transgressed ever-changing economic trends in the global economy, owing to their conveyance, security, trust, and the ability to make transactions without the aid of formal institutions and governing bodies. However, the adoption of cryptocurrency remains low among stakeholders, including e-retailers. Thus, the current work explores the intentions of e-retailers in the Asia and Pacific region to adopt cryptocurrencies. This study considers the TAM-based SOR, with a combination of non-cognitive attributes (compatibility and convenience) proposed as stimuli for e-retailers to adopt the examined cryptocurrencies. The findings indicate that the proposed non-cognitive attributes are critical in determining e-retailers’ technostress (emotional state). Moreover, it was found that technostress among e-retailers profoundly impacts their intentions to adopt cryptocurrency in business settings. Meanwhile, regulatory support communication can be used to help regulatory bodies and governing institutions control the future economy worldwide. The proposed study offers significant theoretical and practical contributions through its investigation of e-retailers’ intentions to adopt cryptocurrency for the first time in the particular context of technostress and regulatory support.

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Reducing Gross Errors of Perspective 3-point Pose Computation

Cited by 3 publications

References 6 publications

Ambiguity-Free Optical–Inertial Tracking for Augmented Reality Headsets

Ambiguity-Free Optical–Inertial Tracking for Augmented Reality Headsets

Teachers and Technostress During Covid-19 Pandemic: A Modification of Technology Acceptance Model

Investigating e-Retailers’ Intentions to Adopt Cryptocurrency Considering the Mediation of Technostress and Technology Involvement

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