Accurate overlaying for mobile augmented reality

Pasman, W.; Schaaf, van der Arjen; Lagendijk, R.L.; Jansen, Frederick W.

doi:10.1016/s0097-8493(99)00118-1

Cited by 24 publications

(16 citation statements)

References 15 publications

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“…For a remote display we are looking at personal digital assistants (PDAs). Our goal is to develop or adapt tracking technology and user interface paradigms that will allow a remote medical advisor to use a PDA as a "magic lens" for looking at the remote scene [11]- [14].…”

Section: B Displaysmentioning

confidence: 99%

Remote 3D medical consultation

Welch

Sonnenwald²,

Mayer-Patel³

et al. 2005

2nd International Conference on Broadband Networks, 2005.

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Abstract-Two-dimensional (2D) video-based telemedical consultation has been explored widely in the past 15-20 years. Two issues that seem to arise in most relevant case studies are the difficulty associated with obtaining the desired 2D camera views, and poor depth perception. To address these problems we are exploring the use of a small array of cameras to reconstruct a real-time, on-line 3D computer model of the real environment and events. We call this 3D medical consultation (3DMC). The idea is to give remote users what amounts to an infinite set of stereoscopic viewpoints, simultaneously addressing the visibility and depth perception problems associated with 2D video. Here we describe our current prototype system, some of the methods we use, and some early experimental results.

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Section: B Displaysmentioning

confidence: 99%

Remote 3D medical consultation

Welch

Sonnenwald²,

Mayer-Patel³

et al. 2005

2nd International Conference on Broadband Networks, 2005.

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“…Within the UbiCom program at Delft University a mobile augmented reality system is being developed [24,12] that will consist of a mobile receiver with an augmented reality display that will receive the rendering data over a mobile link from a base station. As the augmented reality is to operate in perfect alignment/registration with the real world, the latency requirements are extremely severe.…”

Section: Prototype Implementationmentioning

confidence: 99%

“…As the augmented reality is to operate in perfect alignment/registration with the real world, the latency requirements are extremely severe. Earlier, we presented an approach to enable low-latency rendering on a mobile platform [12]. With the limited CPU power and communication bandwidth available to the mobile unit, our prototype implementation can handle about 350 texture-mapped polygons with a maximum end-to-end latency of 8 ms.…”

Section: Prototype Implementationmentioning

confidence: 99%

Scheduling level of detail with guaranteed quality and cost

Pasman

Jansen

2002

Proceedings of the Seventh International Conference on 3D Web Technology

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This paper presents a framework for handling and on-the-fly generation of levels of detail. The application directly controls the trade-off between the amount of resources to be used and the accuracy of the final images. The basis for this choice is an accuracy curve which explicates the trade-off. This curve is calculated and updated hierarchically, which makes it especially suited for use with a scene graph. Integration of the framework with VRML is described. Measurements on our prototype implementation show that target resource loads and accuracies can adequately be reached.

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“…Configurations using optical AR however, are more latency sensitive than immersive VR configurations since real world objects have no latency and delays of virtual objects can be seen directly. For mobile AR tasks such as tourist information, remote maintenance and support, we estimate that 10 ms will be acceptable [6].…”

Section: Previous Workmentioning

confidence: 99%

“…We have measured a latency of 8.5 ms between the moment the tracker data comes in and the moment the picture part corresponding to that position has fully been displayed [6,22]. To be cleared and rendered …”

Section: Low Latency Renderingmentioning

confidence: 99%

Distributed low-latency rendering for mobile AR

Pasman

Jansen²

Proceedings IEEE and ACM International Symposium on Augmented Reality

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Wearable augmented reality (AR) can help the task of a user by adding virtual objects to his view on the real world. To save power in the mobile unit, rendering can be offloaded to the backbone as much as possible. However, because of low latency requirements, images for mobile AR can not be rendered completely in the backbone. We developed a system capable of end-to-end latencies of 10ms, with a seamless fitting dynamic level-of-detail framework extending the VRML and Inventor language, and building on current trends in QoS handling. In this paper we outline the structure and components of our system, and discuss a demo application projecting a statue on the campus.

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Accurate overlaying for mobile augmented reality

Cited by 24 publications

References 15 publications

Remote 3D medical consultation

Remote 3D medical consultation

Scheduling level of detail with guaranteed quality and cost

Distributed low-latency rendering for mobile AR

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