Control of the effects of regularization on variational optic flow computations

DOI10.1007/s10851-010-0239-xzbMath1255.68206OpenAlexW2053687574MaRDI QIDQ1932842

Zakaria Belhachmi, Frederic Hecht

Publication date: 22 January 2013

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-010-0239-x

zbMATH Keywords

computer visionregularization procedureadaptive finite elementsoptic flowconfidence measure

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45)

Related Items

An adaptive approach for the segmentation and the TV-filtering in the optic flow estimation ⋮ Unnamed Item ⋮ A massively parallel multi-level approach to a domain decomposition method for the optical flow estimation with varying illumination ⋮ A multiscale fourth‐order model for the image inpainting and low‐dimensional sets recovery ⋮ Adaptive Mesh Refinement in Deformable Image Registration: A Posteriori Error Estimates for Primal and Mixed Formulations

Uses Software

• FreeFem++

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Nonlinear total variation based noise removal algorithms
• Adaptive finite element methods for elliptic equations with non-smooth coefficients
• Reliable estimation of dense optical flow fields with large displacements
• An efficient discretization of the Navier-Stokes equations in an axisymmetric domain. I: The discrete problem and its numerical analysis
• A Survey on Variational Optic Flow Methods for Small Displacements
• Convergence rates for Tikhonov regularisation of non-linear ill-posed problems
• Mortar spectral element discretization of the Laplace and Darcy equations with discontinuous coefficients
• Finite Element Methods for Navier-Stokes Equations
• Polynomial Approximation of Functions in Sobolev Spaces
• A Posteriori Control of Modeling Errors and Discretization Errors
• ANALYSIS OF OPTICAL FLOW MODELS IN THE FRAMEWORK OF THE CALCULUS OF VARIATIONS
• Optimal Control Formulation for Determining Optical Flow
• Computing Optical Flow via Variational Techniques
• Stability and Uniqueness for the Crack Identification Problem
• Progress Toward using MRI and a Heart Model to Estimate Patient-Specific Indices of Cardiac Function
• Scale Space and PDE Methods in Computer Vision
• Variational optic flow computation with a spatio-temporal smoothness constraint
• A theoretical framework for convex regularizers in PDE-based computation of image motion