Dense non-rigid visual tracking with a robust similarity function - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Dense non-rigid visual tracking with a robust similarity function

Résumé

This paper deals with dense non-rigid visual tracking robust towards global illumination perturbations of the observed scene. The similarity function is based on the sum of condi- tional variance (SCV). With respect to most approaches that minimize the sum of squared differences, which is poorly robust towards illumination variations in the scene, the choice of SCV as our registration function allows the approach to be naturally robust towards global perturbations. Moreover, a thin-plate spline warping function is considered in order to take into account deformations of the observed template. The proposed approach, after being detailed, is tested in nominal conditions and on scenes where light perturbations occur in order to assess the robustness of the approach.
Fichier principal
Vignette du fichier
main.pdf (525.08 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00997377 , version 1 (28-05-2014)

Identifiants

  • HAL Id : hal-00997377 , version 1

Citer

Bertrand Delabarre, Eric Marchand. Dense non-rigid visual tracking with a robust similarity function. IEEE Int. Conf. on Image Processing, ICIP'14, Oct 2014, Paris, France. ⟨hal-00997377⟩
394 Consultations
248 Téléchargements

Partager

Gmail Facebook X LinkedIn More