Interest point detectors for visual SLAM

Martinez Mozos, Oscar and Gil, Arturo and 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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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
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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