TY  - CONF
AU  - Marçal Rusiñol
AU  - J. Chazalon
AU  - Jean-Marc Ogier
A2  - CIFED
PY  - 2016//
TI  - Filtrage de descripteurs locaux pour l'amélioration de la détection de documents
BT  - Colloque International Francophone sur l'Écrit et le Document
KW  - Local descriptors
KW  - mobile capture
KW  - document matching
KW  - keypoint selection
N2  - In this paper we propose an effective method aimed at reducing the amount of local descriptors to be indexed in a document matching framework.In an off-line training stage, the  matching  between  the  model  document  and  incoming  images  is  computed  retaining  the local descriptors from the model that steadily produce good matches.  We have evaluated this approach by using the ICDAR2015 SmartDOC dataset containing near 25000 images from documents to be captured by a mobile device.  We have tested the performance of this filtering step by using ORB and SIFT local detectors and descriptors. The results show an important gain both in quality of the final matching as well as in time and space requirements.
L1  - http://refbase.cvc.uab.es/files/RCO2016.pdf
N1  - DAG; 600.084; 600.077
ID  - Marçal Rusiñol2016
ER  -