Mobile computation offloading architecture for mobile augmented reality, case study: Visualization of cetacean skeleton
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 1
Abstract
Augmented Reality applications can serve as teach-ing tools in different contexts of use. Augmented reality appli-cation on mobile devices can help to provide tourist information on cities or to give information on visits to museums. For example, during visits to museums of natural history, applications of augmented reality on mobile devices can be used by some visitors to interact with the skeleton of a whale. However, making rendering heavy models can be computationally infeasible on devices with limited resources such as smart phones or tablets. One solution to this problem is to use techniques to Mobile Computation Offloading. This work proposes a mobile computation offloading architecture for mobile augmented reality. This solution would allow users to interact with a whale skeleton through an augmented reality application on mobile devices. Finally testing to assess the optimization of the resources of the mobile device when performing heavy render tests were made.
Authors and Affiliations
Belen Rodriguez-Santana, Amilcar Viveros, Blanca Carvajal-Gamez, Diana Trejo-Osorio
Keywords
Related Articles
- EP ID EP148946
- DOI 10.14569/IJACSA.2016.070190
- Views 66
- Downloads 0
El Niño / La Niña Identification based on Takens Reconstruction Theory
An identification method for earth observation data according to a chaotic behavior based on Takens reconstruction theory is proposed. The proposed method is examined by using the observed time series data of SST (Sea Su...
Analysis of Biometric Technology Adaption and Acceptance in Canada
This study aimed at analyzing the analysis biometric technology adoption and acceptance in Canada. From the introduction, the paper reveals that biometrics technology has been in existence for many decades despite rising...
Pattern Discovery using Fuzzy FP-growth Algorithm from Gene Expression Data
The goal of microarray experiments is to identify genes that are differentially transcribed with respect to different biological conditions of cell cultures and samples. Hence, method of data analysis needs to be c...
Software Bug Prediction using Machine Learning Approach
Software Bug Prediction (SBP) is an important issue in software development and maintenance processes, which concerns with the overall of software successes. This is because predicting the software faults in earlier phas...
A Bottom-up Approach for Visual Object Recognition on FPGA based Embedded Multiprocessor Architecture
This paper presents an object recognition approach of outdoor autonomous systems identifying the nature of the interested object when observing an image. Therefore, seeking for effective and robust recognition method, th...