Fast and accurate 3D object recognition directly from digital holograms

Mozhdeh Seifi 1 Loic Denis 1 Corinne Fournier 2
1 LHC - Laboratoire Hubert Curien [Saint Etienne]
2 Laboratoire Hubert Curien / Eris
LHC - Laboratoire Hubert Curien [Saint Etienne]
Abstract : Pattern recognition methods can be used in the context of digital holography to perform the task of object detection, classification, and position extraction directly from the hologram rather than from the reconstructed optical field. These approaches may exploit the differences between the holographic signatures of objects coming from distinct object classes and/or different depth positions. Direct matching of diffraction patterns, however, becomes computationally intractable with increasing variability of objects due to the very high dimensionality of the dictionary of all reference diffraction patterns. We show that most of the diffraction pattern variability can be captured in a lower dimensional space. Good performance for object recognition and localization is demonstrated at a reduced computational cost using a low-dimensional dictionary. The principle of the method is illustrated on a digit recognition problem and on a video of experimental holograms of particles.
Mots-clés : Digital holography Image reconstruction techniques Inverse problems Singular Value Decomposition Pattern recognition
Type de document :
Article dans une revue
Journal of the Optical Society of America. A Optics, Image Science, and Vision, Optical Society of America, 2013, 30 (11), pp.2216-2224. 〈10.1364/JOSAA.30.002216〉
Liste complète des métadonnées

Littérature citée [27 références]  Voir  Masquer  Télécharger
https://hal-ujm.archives-ouvertes.fr/ujm-00985394
Contributeur : Corinne Fournier <>
Soumis le : mercredi 21 mai 2014 - 12:55:54
Dernière modification le : mercredi 25 juillet 2018 - 14:05:32
Document(s) archivé(s) le : jeudi 21 août 2014 - 11:25:23

Fichier

DH_SVD_Seifi_2013.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

UNIV-ST-ETIENNE | LAHC | IOGS | ERIS | PARISTECH

Citation

Mozhdeh Seifi, Loic Denis, Corinne Fournier. Fast and accurate 3D object recognition directly from digital holograms. Journal of the Optical Society of America. A Optics, Image Science, and Vision, Optical Society of America, 2013, 30 (11), pp.2216-2224. 〈10.1364/JOSAA.30.002216〉. 〈ujm-00985394v2〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

294

Téléchargements de fichiers

429

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD