Robust Spatiotemporal Stereo for Dynamic Scenes - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2012

Robust Spatiotemporal Stereo for Dynamic Scenes


Stereo matching is a challenging problem, especially in the presence of noise or of weakly textured objects. Using temporal information in a binocular video sequence to increase the discriminability for matching has been introduced in the recent past, but all the proposed methods assume either constant disparity over time, or small object motions, which is not always true. We introduce a novel stereo algorithm that exploits temporal information by robustly aggregating a similarity statistic over time, in order to improve the matching accuracy for weak data, while preserving regions undergoing large motions without introducing artifacts.
Fichier principal
Vignette du fichier
SanchezCechHoraud_ICPR12.pdf (1.1 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-00768766 , version 1 (23-12-2012)


  • HAL Id : hal-00768766 , version 1


Jordi Sanchez-Riera, Jan Cech, Radu Horaud. Robust Spatiotemporal Stereo for Dynamic Scenes. ICPR 2012 - 21st International Conference on Pattern Recognition, Nov 2012, Tsukuba Science City, Japan. pp.360-363. ⟨hal-00768766⟩
224 View
103 Download


Gmail Facebook X LinkedIn More