%0 Conference Proceedings
%T Spotting Graphical Symbols in Camera-Acquired Documents in Real Time
%A Marçal Rusiñol
%A Dimosthenis Karatzas
%A Josep Llados
%B 10th IAPR International Workshop on Graphics Recognition
%D 2013
%F Marçal Rusiñol2013
%O DAG; 600.045; 600.055; 600.061; 602.101
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2347), last updated on Thu, 10 Nov 2016 12:12:03 +0100
%X In this paper we present a system devoted to spot graphical symbols in camera-acquired document images. The system is based on the extraction and further matching of ORB compact local features computed over interest key-points. Then, the FLANN indexing framework based on approximate nearest neighbor search allows to efficiently match local descriptors between the captured scene and the graphical models. Finally, the RANSAC algorithm is used in order to compute the homography between the spotted symbol and its appearance in the document image. The proposed approach is efficient and is able to work in real time.
%U http://refbase.cvc.uab.es/files/RKL2013.pdf