| Title |
Saliency-Based Keypoint Reduction for Augmented-Reality Applications in Smart Cities |
| ID_Doc |
40321 |
| Authors |
Buoncompagni, S; Maio, D; Maltoni, D; Papi, S |
| Title |
Saliency-Based Keypoint Reduction for Augmented-Reality Applications in Smart Cities |
| Year |
2015 |
| Published |
|
| DOI |
10.1007/978-3-319-23222-5_26 |
| Abstract |
In this paper we show that Saliency-based keypoint selection makes natural landmark detection and object recognition quite effective and efficient, thus enabling augmented reality techniques in a plethora of applications in smart city contexts. As a case study we address a tour of a museum where a modern smart device like a tablet or smartphone can be used to recognize paintings, retrieve their pose and graphically overlay useful information. |
| Author Keywords |
Saliency-based ranking; Keypoint local descriptors; Smart city; Augmented reality |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000364992300026 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Computer Science, Theory & Methods; Imaging Science & Photographic Technology |
| Research Area |
Computer Science; Imaging Science & Photographic Technology |
| PDF |
https://link.springer.com/content/pdf/10.1007/978-3-319-23222-5_26.pdf
|