Name
Abstract | ||
|---|---|---|
For an augmented reality application to be realistic, exact tracking of target objects is essential. However, recent mobile augmented reality applications such as location-based applications or recognition-based applications, showed less quality of realistic augmentation due to inexact tracking methods. Vision based tracking is capable of being exact and robust, but as a mobile augmented reality system, the number of objects it can augment was far limited. In this paper, we propose a new framework that overcomes limitations of previous works in two points. One, our framework is scalable to the number of objects being augmented. Two, our framework provides improved realistic augmentation adopting real-time accurate visual tracking method. To our best knowledge, there has been no system proposed successfully integrating both properties. To achieve scalability, bag of visual words based recognition module with large database runs on remote server and mobile phone tracks and augments the target object by itself. The server and mobile phone is connected through conventional Wi-Fi. Including network latency, our implementation takes 0.2sec for initiating AR service on 10,000 object database, which is acceptable in real-world augmented reality application. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1900179.1900213 | VRCAI |
Keywords | Field | DocType |
exact tracking,recent mobile augmented reality,mobile augmented reality system,mobile phone track,target object,new framework,mobile phone,real-time accurate visual tracking,scalable recognition,real-world augmented reality application,augmented reality application,real time,bag of visual words,visual tracking,augmented reality | Computer vision,Bag-of-words model in computer vision,Simulation,Computer science,Latency (engineering),Augmented reality,Vision based,Eye tracking,Video tracking,Artificial intelligence,Mobile phone,Scalability | Conference |
Citations | PageRank | References |
3 | 0.45 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jae-won Ha | 1 | 5 | 1.53 |
| Kyusung Cho | 2 | 45 | 7.29 |
| H S Yang | 3 | 111 | 29.72 |