TY  - CHAP
AU  - Marçal Rusiñol
AU  - Dimosthenis Karatzas
AU  - Josep Llados
ED  - Bart Lamiroy
ED  - Jean-Marc Ogier
PY  - 2014//
TI  - Spotting Graphical Symbols in Camera-Acquired Documents in Real Time
T2  - LNCS
BT  - Graphics Recognition. Current Trends and Challenges
SP  - 3
EP  - 10
VL  - 8746
PB  - Springer Berlin Heidelberg
N2  - 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.
SN  - 0302-9743
SN  - 978-3-662-44853-3
UR  - http://dx.doi.org/10.1007/978-3-662-44854-0_1
N1  - DAG; 600.045; 600.055; 600.061; 600.077
ID  - Marçal Rusiñol2014
ER  -