Fast Diffraction-pattern matching for object detection and recognition in digital holograms. - CNRS - Centre national de la recherche scientifique Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

Fast Diffraction-pattern matching for object detection and recognition in digital holograms.

Mozhdeh Seifi
  • Fonction : Auteur
  • PersonId : 911872
Loïc Denis
Corinne Fournier

Résumé

A digital hologram is a 2-D recording of the diffraction fringes created by 3-D objects under coherent lighting. These fringes encode the shape and 3-D location information of the objects. By simulating re-lighting of the hologram, the 3-D wave field can be reconstructed and a volumetric image of the objects recovered. Rather than performing object detection and identification in this reconstructed volume, we consider direct recognition of diffraction-patterns in in-line holograms and show that it leads to superior performance. The huge variability of diffraction patterns with object shape and 3-D location makes diffraction-pattern matching computationally expensive. We suggest the use of a dimensionality reduction technique to circumvent this limitation and show good detection and recognition performance both on simulated and experimental holograms.
Fichier non déposé

Dates et versions

ujm-00863143 , version 1 (18-09-2013)

Identifiants

  • HAL Id : ujm-00863143 , version 1

Citer

Mozhdeh Seifi, Loïc Denis, Corinne Fournier. Fast Diffraction-pattern matching for object detection and recognition in digital holograms.. The 21st European Signal Processing Conference, Sep 2013, Marrakech, Morocco. pp.1569734797. ⟨ujm-00863143⟩
98 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More