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Author (up) Marçal Rusiñol; J. Chazalon; Jean-Marc Ogier edit   pdf
  Title Filtrage de descripteurs locaux pour l'amélioration de la détection de documents Type Conference Article
  Year 2016 Publication Colloque International Francophone sur l'Écrit et le Document Abbreviated Journal  
  Volume Issue Pages  
  Keywords Local descriptors; mobile capture; document matching; keypoint selection  
  Abstract 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.  
  Address Toulouse; France; March 2016  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference CIFED  
  Notes DAG; 600.084; 600.077 Approved no  
  Call Number Admin @ si @ RCO2016 Serial 2755  
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