Universiti Teknologi Malaysia Institutional Repository

A prototype of augmented reality for visualising large sensors datasets

Ayinde, Folorunso Olufemi and Sunar, Mohd. Shahrizal and Kari, Sarudin and Mohamad, Dzulkifli (2011) A prototype of augmented reality for visualising large sensors datasets. In: International Conference On Applied Computer Science And Engineering (ICACSE 2011).

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Official URL: https://www.researchgate.net/publication/286752909...

Abstract

In this paper we discuss the development of an Augmented Reality (AR) - based scientific visualization system prototype that supports identification, localisation, and 3D visualisation of oil leakages sensors datasets. Sensors generates significant amount of multivariate datasets during normal and leak situations. Therefore we have developed a data model to effectively manage such data and enhance the computational support needed for the effective data explorations. A challenge of this approach is to reduce the data inefficiency powered by the disparate, repeated, inconsistent and missing attributes of most available sensors datasets. To handle this challenge, this paper aim to develop an AR-based scientific visualization interface which automatically identifies, localise and visualizes all necessary data relevant to a particularly selected region of interest (ROI) along the virtual pipeline network. Necessary system architectural supports needed as well as the interface requirements for such visualizations are also discussed in this paper.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:augmented reality
Divisions:Computing
ID Code:45502
Deposited By: Haliza Zainal
Deposited On:10 Jun 2015 03:01
Last Modified:20 Sep 2017 01:28

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