A shape-based approach for leaf classification using multiscale triangular representation

Abstract : In this paper we introduce a new multiscale shape-based approach for leaf image retrieval. The leaf is represented by local descriptors associated with margin sample points. Within this local description, we study four multiscale triangle representations: the well known triangle area representation (TAR), the triangle side lengths representation (TSL) and two new representations that we denote triangle oriented angles (TOA) and triangle side lengths and angle representation (TSLA). Unlike existing TAR approaches, where a global matching is performed, the similarity measure is based on a locality sensitive hashing of local descriptors. The proposed approach is invariant under translation, rotation and scale and robust under partial occlusion. Evaluations made on four public leaf datasets show that our shape-based approach achieves a high retrieval accuracy w.r.t. state-of-art methods.
Type de document :
Communication dans un congrès
ICMR '13 - 3rd ACM International Conference on Multimedia Retrieval, Apr 2013, Dallas, United States. ACM, 2013
Liste complète des métadonnées

Littérature citée [39 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00818115
Contributeur : Anne Verroust-Blondet <>
Soumis le : vendredi 26 avril 2013 - 09:30:43
Dernière modification le : vendredi 25 mai 2018 - 12:02:06
Document(s) archivé(s) le : samedi 27 juillet 2013 - 04:04:34

Fichier

icmr2013pap.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00818115, version 1

Collections

Citation

Sofiène Mouine, Itheri Yahiaoui, Anne Verroust-Blondet. A shape-based approach for leaf classification using multiscale triangular representation. ICMR '13 - 3rd ACM International Conference on Multimedia Retrieval, Apr 2013, Dallas, United States. ACM, 2013. 〈hal-00818115〉

Partager

Métriques

Consultations de la notice

288

Téléchargements de fichiers

1249