Name
Abstract | ||
|---|---|---|
In this paper, a new mobile Augmented Reality (AR) framework which is scalable to the number of objects being augmented is proposed. The scalability is achieved by a visual word recognition module on the remote server and a mobile phone which detects, tracks, and augments target objects with the received information from the server. The server and the mobile phone are connected through a conventional Wi-Fi. In the experiment, it takes 0.2 seconds for the cold start of an AR service initiation on a 10k object database, which is fairly acceptable in a real-world AR application. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/VR.2011.5759473 | VR |
Keywords | Field | DocType |
mobile handsets,augments target object,visual word recognition module,mobile phone,scalable recognition,object database,ar service initiation,real-world ar application,tracking,augmented reality,cold start,new mobile augmented reality,mobile augmented reality,wireless lan,mobile computing,visual word recognition,remote server,conventional wi-fi,wi-fi,visualization,servers,scalability,mobile communication | Mobile computing,Computer vision,Computer science,Server,Augmented reality,Mobile database,Artificial intelligence,Mobile phone,Mobile telephony,Visual Word,Scalability | Conference |
ISSN | ISBN | Citations |
1087-8270 E-ISBN : 978-1-4577-0037-8 | 978-1-4577-0037-8 | 2 |
PageRank | References | Authors |
0.41 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jae-won Ha | 1 | 5 | 1.53 |
| Jinki Jung | 2 | 33 | 7.50 |
| ByungOk Han | 3 | 14 | 2.03 |
| Kyusung Cho | 4 | 45 | 7.29 |
| H S Yang | 5 | 111 | 29.72 |