An image smoothing operator for fast and accurate scale space approximation - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

An image smoothing operator for fast and accurate scale space approximation

Résumé

Gaussian image smoothing is a fundamental operation in the extraction of scale-invariant feature points. Its computation, however, can be too expensive in some resource-constrained scenarios. Alternative solutions such as the box filter can be computed more efficiently, at the cost of a loss in feature repeatability under some conditions. In this paper we propose a fast and accurate image smoothing operator based on integral images. It has the same order of computational complexity as the box filter, but provides much more accurate visual results and improved keypoint repeatability, which is confirmed in a feature detection scenario using SIFT features.
Fichier principal
Vignette du fichier
doc.pdf (890.3 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01299839 , version 1 (08-04-2016)

Identifiants

  • HAL Id : hal-01299839 , version 1

Citer

Maxim Karpushin, Giuseppe Valenzise, Frédéric Dufaux. An image smoothing operator for fast and accurate scale space approximation. IEEE International Conference on Acoustics, Speech, and Signal Processing, Mar 2016, Shanghai, China. ⟨hal-01299839⟩

Relations

330 Consultations
1020 Téléchargements

Partager

Gmail Facebook X LinkedIn More