Distributed low-latency rendering for mobile AR

Pasman, W.; Jansen, Frederick W.

doi:10.1109/isar.2001.970520

Cited by 12 publications

(7 citation statements)

References 23 publications

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“…Not only frame rate is affected by latency, another problem that may occur is object misplacement. Indeed, more than 10ms of delay leads to object misplacement of at least three degrees [31] in mobile AR. Figure 7 highlights the misplacement of 3D objects in the real world experienced in the 4G VOLUME 4, 2016 This work is licensed under a Creative Commons Attribution 4.0 License.…”

Section: Validation Resultsmentioning

confidence: 99%

A 5G-Based eHealth Monitoring and Emergency Response System: Experience and Lessons Learned

Antevski¹,

Girletti

Bernardos

et al. 2021

IEEE Access

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5G is being deployed in major cities across the globe. Although the benefits brought by the new 5G air interface will be numerous, 5G is more than just an evolution of the radio technology. New concepts, such as the application of network softwarization and programmability paradigms to the overall network design, the reduced latency promised by edge computing or the concept of network slicing -just to cite some of them -will open the door to new vertical-specific services, even capable of saving more lives. This article discusses the implementation and validation of an eHealth service specially tailored for the Emergency Services of the Madrid Municipality. This new vertical application makes use of the novel characteristics of 5G, enabling dynamic instantiation of services at the edge, federation of domains and execution of real on-the-field augmented reality. The article provides an explanation of the design of the use case and its real life implementation and demonstration in collaboration with the Madrid emergency response team. The major outcome of this work is a real-life proof-of-concept of this system, which can reduce the time required to respond to an emergency in minutes and perform more efficient triage, increasing the chances of saving lives.

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Section: Validation Resultsmentioning

confidence: 99%

A 5G-Based eHealth Monitoring and Emergency Response System: Experience and Lessons Learned

Antevski¹,

Girletti

Bernardos

et al. 2021

IEEE Access

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“…Experts estimate the maximum end-to-end latency a user wearing an HMD can perceive at 10 ms [52], where in some non-HMD applications considerably higher latencies are tolerable [53].…”

Section: Overviewmentioning

confidence: 99%

6DoF Object Tracking based on 3D Scans for Augmented Reality Remote Live Support

et al. 2018

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Abstract:Tracking the 6DoF pose of arbitrary 3D objects is a fundamental topic in Augmented Reality (AR) research, having received a large amount of interest in the last decades. The necessity of accurate and computationally efficient object tracking is evident for a broad base of today's AR applications. In this work we present a fully comprehensive pipeline for 6DoF Object Tracking based on 3D scans of objects, covering object registration, initialization and frame to frame tracking, implemented to optimize the user experience and to perform well in all typical challenging conditions such as fast motion, occlusions and illumination changes. Furthermore, we present the deployment of our tracking system in a Remote Live Support AR application with 3D object-aware registration of annotations and remote execution for delay and performance optimization. Experimental results demonstrate the tracking quality, real-time capability and the advantages of remote execution for computationally less powerful mobile devices.

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“…The delay problem has been well dealt in mobile AR applications [12]. Pasman and Jansen [13] proposed coarse-to-fine representation of virtual objects for AR applications. In their application, 3D CG models were rendered in a mobile device.…”

Section: Reducing Network Delay For Ar Applicationsmentioning

confidence: 99%

Forensic CG Video Generation with Augmented Reality Technology

Sugiura¹,

Toyoura²,

Mao³

2013

The Journal of the Society for Art and Science

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This paper presents a technology for supporting in-house forensic CG video generation by police and prosecution. For confidentiality, it is usually not allowed to generate criminal CG video through subcontracting, whereas existing CG modeling and video editing systems are too complicated to use for police or prosecution.The proposed technique solves this problem with Augmented Reality (AR) technology. We propose to deploy multiple cameras and AR markers on criminal site. While a user of the police or the prosecution plays a role of the criminal wearing a video see-through head mount display, video is automatically generated. CG objects, such as the virtual victim, are displayed on the head mount display and rendered in the video. Our main contributions in this research are concurrent displaying of first-person and third-person views for visualizing spatial relationship between the user and its surroundings, and complementary use of marker information from multiple cameras for solving the occlusion problem inherently caused by operating at the actual criminal site.

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Distributed low-latency rendering for mobile AR

Cited by 12 publications

References 23 publications

A 5G-Based eHealth Monitoring and Emergency Response System: Experience and Lessons Learned

A 5G-Based eHealth Monitoring and Emergency Response System: Experience and Lessons Learned

6DoF Object Tracking based on 3D Scans for Augmented Reality Remote Live Support

Forensic CG Video Generation with Augmented Reality Technology

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