TY - GEN
T1 - OverLay
T2 - 13th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2015
AU - Jain, Puneet
AU - Manweiler, Justin
AU - Choudhury, Romit Roy
N1 - Publisher Copyright:
Copyright © 2015 ACM.
PY - 2015/5/18
Y1 - 2015/5/18
N2 - The idea of augmented reality - the ability to look at a physical object through a camera and view annotations about the object - is certainly not new. Yet, this apparently feasible vision has not yet materialized into a precise, fast, and comprehensively usable system. This paper asks: What does it take to enable augmented reality (AR) on smartphones today? To build a ready-to-use mobile AR system, we adopt a top-down approach cutting across smartphone sensing, computer vision, cloud offloading, and linear optimization. Our core contribution is in a novel location-free geometric representation of the environment - from smartphone sensors - and using this geometry to prune down the visual search space. Metrics of success include both accuracy and latency of object identification, coupled with the ease of use and scalability in uncontrolled environments. Our converged system, OverLay, is currently deployed in the engineering building and open for use to regular public; ongoing work is focussed on campuswide deployment to serve as a "historical tour guide" of UIUC. Performance results and user responses thus far have been promising, to say the least.
AB - The idea of augmented reality - the ability to look at a physical object through a camera and view annotations about the object - is certainly not new. Yet, this apparently feasible vision has not yet materialized into a precise, fast, and comprehensively usable system. This paper asks: What does it take to enable augmented reality (AR) on smartphones today? To build a ready-to-use mobile AR system, we adopt a top-down approach cutting across smartphone sensing, computer vision, cloud offloading, and linear optimization. Our core contribution is in a novel location-free geometric representation of the environment - from smartphone sensors - and using this geometry to prune down the visual search space. Metrics of success include both accuracy and latency of object identification, coupled with the ease of use and scalability in uncontrolled environments. Our converged system, OverLay, is currently deployed in the engineering building and open for use to regular public; ongoing work is focussed on campuswide deployment to serve as a "historical tour guide" of UIUC. Performance results and user responses thus far have been promising, to say the least.
KW - Augmented Reality
KW - Gyroscope
KW - Localization
KW - Mobile
KW - Tagging
UR - http://www.scopus.com/inward/record.url?scp=84954225226&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84954225226&partnerID=8YFLogxK
U2 - 10.1145/2742647.2742666
DO - 10.1145/2742647.2742666
M3 - Conference contribution
AN - SCOPUS:84954225226
T3 - MobiSys 2015 - Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services
SP - 331
EP - 344
BT - MobiSys 2015 - Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services
PB - Association for Computing Machinery
Y2 - 18 May 2015 through 22 May 2015
ER -