title: B-spline image model for energy minimization-based optical flow estimation.
abstract: Robust estimation of the optical flow is addressed through a multiresolution energy minimization. It involves repeated evaluation of spatial and temporal gradients of image intensity which rely usually on bilinear interpolation and image filtering. We propose to base both computations on a single pyramidal cubic B-spline model of image intensity. We show empirically improvements in convergence speed and estimation error and validate the resulting algorithm on real test sequences.
authors.forename: Guy
authors.initials: G
authors.lastname: Le Besnerais
authors.forename: Frédéric
authors.initials: F
authors.lastname: Champagnat
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D015233:Models, Statistical; D009038:Motion; D009716:Numerical Analysis, Computer-Assisted; D014741:Video Recording / Q000379:methods*