Cloud Supported Augmented Reality
(2014) MAMM01 20141Ergonomics and Aerosol Technology
- Abstract
- This Masters’ Thesis aimed to explore the possibilities that the new generation of portable hardware called wearables presents us with. More powerful and smaller devices with a wide array of sensors and cameras are not only becoming possible, but available at prices that are affordable to the average consumer in the first world. But as powerful as modern day technology is, things such as advanced data processing and data storage take space, generate head, and requires power. If this can be done somewhere else than on the small devices the consumer is willing to carry with them, many previously impossible things become possible.
In this Thesis we used the Oculus Rift and the Raspberry PI to create a portable augmented reality device and... (More) - This Masters’ Thesis aimed to explore the possibilities that the new generation of portable hardware called wearables presents us with. More powerful and smaller devices with a wide array of sensors and cameras are not only becoming possible, but available at prices that are affordable to the average consumer in the first world. But as powerful as modern day technology is, things such as advanced data processing and data storage take space, generate head, and requires power. If this can be done somewhere else than on the small devices the consumer is willing to carry with them, many previously impossible things become possible.
In this Thesis we used the Oculus Rift and the Raspberry PI to create a portable augmented reality device and test the effects of stereoscopic vision on the quality of perception. We also tried to displace the processing and calculations to a Cloud server, theoretically allowing us to perform tasks previously impossible for a Raspberry PI. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/4812230
- author
- Chernenko, Gleb LU and Gullstrand, Fredrik LU
- supervisor
- organization
- course
- MAMM01 20141
- year
- 2014
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Augmented Reality, The Cloud, Oculus Rift, Raspberry Pi, Linux, Streaming
- language
- English
- id
- 4812230
- date added to LUP
- 2014-11-24 11:14:14
- date last changed
- 2015-06-04 13:36:17
@misc{4812230, abstract = {{This Masters’ Thesis aimed to explore the possibilities that the new generation of portable hardware called wearables presents us with. More powerful and smaller devices with a wide array of sensors and cameras are not only becoming possible, but available at prices that are affordable to the average consumer in the first world. But as powerful as modern day technology is, things such as advanced data processing and data storage take space, generate head, and requires power. If this can be done somewhere else than on the small devices the consumer is willing to carry with them, many previously impossible things become possible. In this Thesis we used the Oculus Rift and the Raspberry PI to create a portable augmented reality device and test the effects of stereoscopic vision on the quality of perception. We also tried to displace the processing and calculations to a Cloud server, theoretically allowing us to perform tasks previously impossible for a Raspberry PI.}}, author = {{Chernenko, Gleb and Gullstrand, Fredrik}}, language = {{eng}}, note = {{Student Paper}}, title = {{Cloud Supported Augmented Reality}}, year = {{2014}}, }