Martinez Mozos, Oscar, Gil, Arturo, Ballesta, Monica and Reinoso, Oscar (2007) Interest point detectors for visual SLAM. In: Current Topics in Artificial Intelligence. Lecture Notes in Computer Science, 4788 . Springer Berlin / Heidelberg, Germany, pp. 170-179. ISBN 9783540752707
Full content URL: http://dx.doi.org/10.1007/978-3-540-75271-4_18
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mozos2008lncs_caepia.pdf - Whole Document 624kB |
| Item Type: | Book Section |
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| Item Status: | Live Archive |
Abstract
In this paper we present several interest points detectors and we analyze their suitability when used as landmark extractors for vision-based simultaneous localization and mapping (vSLAM). For this purpose, we evaluate the detectors according to their repeatability under changes in viewpoint and scale. These are the desired requirements for visual landmarks. Several experiments were carried out using sequence of images captured with high precision. The sequences represent planar objects as well as 3D scenes.
| Additional Information: | Current Topics in Artificial Intelligence Lecture Notes in Computer Science Volume 4788, 2007, pp 170-179 |
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| Keywords: | Artificial Intelligence, Robotics, bmjtype |
| Subjects: | G Mathematical and Computer Sciences > G700 Artificial Intelligence G Mathematical and Computer Sciences > G760 Machine Learning H Engineering > H671 Robotics |
| Divisions: | College of Science > School of Computer Science |
| ID Code: | 9566 |
| Deposited On: | 22 May 2013 12:17 |
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