Treffer: Wavelet-based fluid motion estimation
Title:
Wavelet-based fluid motion estimation
Authors:
Contributors:
Fluid Flow Analysis, Description and Control from Image Sequences (FLUMINANCE), Centre national du machinisme agricole, du génie rural, des eaux et forêts (CEMAGREF)-Centre Inria de l'Université de Rennes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), ANR-08-SYSC-0014,MSDAG,Assimilation de données multiéchelles en géophysique(2008)
Source:
SSVM 2011 - Third International Conference on Scale Space and Variational Methods in Computer Vision ; https://inria.hal.science/hal-00695549 ; SSVM 2011 - Third International Conference on Scale Space and Variational Methods in Computer Vision, 2011, Ein-Gedi, Israel
Publisher Information:
CCSD
Springer
Springer
Publication Year:
2011
Subject Terms:
Document Type:
Konferenz
conference object
Language:
English
Availability:
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edsbas.72B38FAD
Database:
BASE
Weitere Informationen
International audience ; Based on a wavelet expansion of the velocity field, we present a novel optical flow algorithm dedicated to the estimation of continuous motion fields such as fluid flows. This scale-space representation, associated to a simple gradient-based optimization algorithm, naturally sets up a well-defined multi-resolution analysis framework for the optical flow estimation problem, thus avoiding the common drawbacks of standard multi-resolution schemes. Moreover, wavelet properties enable the design of simple yet efficient high-order regularizers or polynomial approximations associated to a low computational complexity. Accuracy of proposed methods is assessed on challenging sequences of turbulent fluids flows.