%0 Conference Proceedings
%T Visual Registration Method For A Low Cost Robot: Computer Vision Systems
%A David Aldavert
%A Ricardo Toledo
%A Arnau Ramisa
%A Ramon Lopez de Mantaras
%B 7th International Conference on Computer Vision Systems
%D 2009
%V 5815
%I Springer Berlin Heidelberg
%@ 0302-9743
%@ 978-3-642-04666-7
%F David Aldavert2009
%O ADAS
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1247), last updated on Tue, 17 Dec 2013 16:19:14 +0100
%X An autonomous mobile robot must face the correspondence or data association problem in order to carry out tasks like place recognition or unknown environment mapping. In order to put into correspondence two maps, most methods estimate the transformation relating the maps from matches established between low level feature extracted from sensor data. However, finding explicit matches between features is a challenging and computationally expensive task. In this paper, we propose a new method to align obstacle maps without searching explicit matches between features. The maps are obtained from a stereo pair. Then, we use a vocabulary tree approach to identify putative corresponding maps followed by the Newton minimization algorithm to find the transformation that relates both maps. The proposed method is evaluated in a typical office environment showing good performance.
%U http://dx.doi.org/10.1007/978-3-642-04667-4_21
%P 204–214