A Unified framework for local visual descriptors evaluation - Université de Rennes Accéder directement au contenu
Article Dans Une Revue Pattern Recognition Année : 2015

A Unified framework for local visual descriptors evaluation

Résumé

Local descriptors are the ground layer of recognition feature based systems for still images and video. We propose a new framework to explain local descriptors. This framework is based on the descriptors decomposition in three levels: primitive extraction, primitive coding and code aggregation. With this framework, we are able to explain most of the popular descriptors in the literature such as HOG, HOF, SURF. We propose two new projection methods based on approximation with oscillating functions basis (sinus and Legendre polynomials). Using our framework, we are able to extend usual descriptors by changing the code aggregation or adding new primitive coding method. The experiments are carried out on images (VOC 2007) and videos datasets (KTH, Hollywood2 and UCF11), and achieve equal or better performances than the literature.
Fichier principal
Vignette du fichier
kihl14pr.pdf (1.43 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01089310 , version 1 (03-12-2014)

Identifiants

Citer

Olivier Kihl, David Picard, Philippe-Henri Gosselin. A Unified framework for local visual descriptors evaluation. Pattern Recognition, 2015, 48, pp.1170-1180. ⟨10.1016/j.patcog.2014.11.013⟩. ⟨hal-01089310⟩
481 Consultations
348 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More