Interest Point Detectors for Visual SLAM
Óscar Martínez Mozos, Arturo Gil, Monica Ballesta, and Oscar Reinoso
Lectures Notes in Artificial Intelligence (LNAI)  (2007)
Ed. Springer Berlin / Heidelberg  ISBN:978-3-540-75270-7  ISSN:0302-9743 (Print) 1611-3349 (Online)  BIBTEX:@ARTICLE{Mozos2007caepialnai, author = {Mart\'inez-Mozos, O. and Gil, A. and Ballesta, M. and Reinoso, O.}, title = {Interest Point Detectors for Visual \mbox{SLAM}}, journal = {Lectures Notes in Artificial Intelligence (LNAI) }, vo  - Volume 4788

Resumen:

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.