Object-oriented middleware infrastructure for distributed augmented reality

Tokunaga, Eiji; Zee, A. van der; Kurahashi, M.; Nemoto, Masahiro; Nakajima, Tatsuo

doi:10.1109/isorc.2003.1199250

Cited by 10 publications

(8 citation statements)

References 22 publications

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“…Object-oriented middleware has synchronous requests as its default form of interaction, however many systems include support for asynchronous communications. Not being designed for concurrent event management, these usually do not attain the same level of performance as systems explicitly designed for the event-based interaction paradigm [18]. Since data of smart grids are collected and exchanged as the result of events, the interaction paradigm of choice appears to be the MessageOriented Middleware (MOM) [19].…”

Section: Relevant Messaging Systemsmentioning

confidence: 99%

Message-oriented middleware for smart grids

Albano

Ferreira

Pinho

et al. 2015

Computer Standards & Interfaces

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Section: Relevant Messaging Systemsmentioning

confidence: 99%

Message-oriented middleware for smart grids

Albano

Ferreira

Pinho

et al. 2015

Computer Standards & Interfaces

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“…These requirements inspired from Tokunaga & al. work [22] are: high-level abstraction, distribution and context-Awareness. They will be discussed further.…”

Section: Requirementsmentioning

confidence: 99%

“…It also meets the three requirements quoted from [22] and we will explain how it is done for each point:…”

Section: Architecture Designmentioning

confidence: 99%

Component-based middleware for distributed augmented reality applications

Chouiten

Didier

Mallem

2011

Proceedings of the 5th International Conference on Communication System Software and Middleware

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This paper describes the design and implementation of a middleware for a framework dedicated to Augmented Reality / Mixed Reality (AR/MR) applications. The goal is to offer an environment for the development of distributed applications running on mobile devices (wearable computers and/or smartphones). The paper first presents the main needs of an AR application and introduces the necessity of distribution in this field. Then we make a quick overview of existing distributed AR frameworks. The goal of this overview is to extract main features and strengths of each framework's architecture based on a set of defined criteria.This comparison being meant as a starting point to extend our own framework (ARCS: Augmented Reality Component System), the last section is about the design and implementation of our own software infrastructure for transparent distributed Augmented Reality taking in consideration our own goals and constraints and taking profit of the strengths of the studied existing frameworks.

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“…In a particular class of AR applications, video frames are captured using remotely located devices. These applications include mobile edge computing [Ali and Simeone 2017], computation offloading [Lin et al 2017] and AR distribution [Caetano et al 2014, Chouiten, Didier and Mallem 2011, Tokunaga et al 2003, Tokunaga et al 2004.…”

Section: Motivationmentioning

confidence: 99%

“…Software architecture design has, among others, the objective of providing a higher abstraction level of the main components and their interaction in a software system [Tokunaga et al 2003]. In addition, software architectures offer solutions to important quality attributes such as generalization, modularity, reusability, maintainability and portability [Didier et al 2012, Dobrica andNiemela 2002].…”

Section: Component Based Software Architecturesmentioning

confidence: 99%

Deep visual tracking for fiducial markers: a pilot study in telerehabilitation

Mattioli¹

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In the past few decades, technology evolution has brought many improvements to the field of human rehabilitation. Among these improvements, the delivery of rehabilitation services to users at distant locations-known as telerehabilitation-made it possible to provide patients with home-based therapy, reducing the need for displacement to rehabilitation centers. In addition, the use of virtual and augmented training environments have enabled realistic simulation in the rehabilitation process, enhancing patients' experience and reducing exposure to real-world risks. Despite these benefits, when used in a distributed context, Augmented Reality technology brings additional challenges to the development process, including the integration of software components provided by heterogeneous sources. Also, the development of robust tracking techniques, less prone to detection errors resulting from network transmission is desired. This particular requirement motivated the development of alternative tracking algorithms, including the use of deep neural networks in visual tracking. When designing these trackers, the major role of network's topology selection has lead to the investigation of automatic search techniques, including evolutionary computation algorithms. In this context, this work presents as contribution a software architecture model for Augmented Reality, focusing on the reliable integration of independent software components for augmented content streaming. In addition, deep visual trackers for fiducial marker detection were designed and evaluated, outperforming other trackers when processing remotely captured video frames. Finally, the application of an evolutionary algorithm in deep neural networks' topology selection is discussed, presenting competitive results when compared to state-of-the-art methods.

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Object-oriented middleware infrastructure for distributed augmented reality

Cited by 10 publications

References 22 publications

Message-oriented middleware for smart grids

Message-oriented middleware for smart grids

Component-based middleware for distributed augmented reality applications

Deep visual tracking for fiducial markers: a pilot study in telerehabilitation

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