%0 Book Section
%T Spotting Graphical Symbols in Camera-Acquired Documents in Real Time
%A Marçal Rusiñol
%A Dimosthenis Karatzas
%A Josep Llados
%E Bart Lamiroy
%E Jean-Marc Ogier
%B Graphics Recognition. Current Trends and Challenges
%D 2014
%V 8746
%I Springer Berlin Heidelberg
%@ 0302-9743
%@ 978-3-662-44853-3
%F Marçal Rusiñol2014
%O DAG; 600.045; 600.055; 600.061; 600.077
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2700), last updated on Wed, 16 Dec 2015 10:47:12 +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://dx.doi.org/10.1007/978-3-662-44854-0_1
%P 3-10