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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Baheti, Pawan K. Swaminathan, Ashwin Chari, Murali Diaz, Serafin Grzechnik, Slawek |
| Copyright Year | 2011 |
| Description | Author affiliation: Qualcomm Corporate Research and Development, San Diego, CA (Baheti, Pawan K.; Swaminathan, Ashwin; Chari, Murali; Diaz, Serafin; Grzechnik, Slawek) |
| Abstract | Recently, there has been tremendous interest in the area of mobile Augmented Reality (AR) with applications including navigation, social networking, gaming and education. Current generation mobile phones are equipped with camera, GPS and other sensors, e.g., magnetic compass, accelerometer, gyro in addition to having ever increasing computing/graphics capabilities and memory storage. Mobile AR applications process the output of one or more sensors to augment the real world view with useful information. This paper's focus is on the camera sensor output, and describes the building blocks for a vision-based AR system. We present information-theoretic techniques to build and maintain an image (feature) database based on reference images, and for querying the captured input images against this database. Performance results using standard image sets are provided demonstrating superior recognition performance even with dramatic reductions in feature database size. |
| Starting Page | 47 |
| Ending Page | 53 |
| File Size | 728982 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781457721830 |
| e-ISBN | 9781457721854 |
| e-ISBN | 9781457721847 |
| DOI | 10.1109/ISMAR.2011.6092369 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-26 |
| Publisher Place | Switzerland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Databases Feature extraction Accuracy Entropy Object detection Mobile communication Robustness database pruning Mobile Augmented Reality |
| Content Type | Text |
| Resource Type | Article |
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