Pattern recognition with local invariant features - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Chapitre D'ouvrage Année : 2005

Pattern recognition with local invariant features

Résumé

Local invariant features have shown to be very successful for recognition. They are robust to occlusion and clutter, distinctive as well as invariant to image transformations. In this chapter recent progress on local invariant features is summarized. It is explained how to extract scale and affine-invariant regions and how to obtain discriminant descriptors for these regions. It is then demonstrated that combining local features with pattern classification techniques allows for texture and category-level object recognition in the presence of varying viewpoints and background clutter.
Fichier non déposé

Dates et versions

inria-00548523 , version 1 (20-12-2010)

Identifiants

  • HAL Id : inria-00548523 , version 1

Citer

Cordelia Schmid, Gyuri Dorkó, Svetlana Lazebnik, Krystian Mikolajczyk, Jean Ponce. Pattern recognition with local invariant features. C.H. Chen and P.S.P Wang. Handbook of Pattern Recognition and Computer Vision, World Scientific, pp.71-92, 2005, 978-981-256-105-3. ⟨inria-00548523⟩
101 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More