Predictive online optimisation with applications to optical flow

DOI10.1007/s10851-020-01000-4OpenAlexW3120750733MaRDI QIDQ2031756

Tuomo Valkonen

Publication date: 14 June 2021

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

Full work available at URL: https://arxiv.org/abs/2002.03053

zbMATH Keywords

inverse problemoptical flowonlineprimal-dual

Mathematics Subject Classification ID

Computer science (68-XX) Information and communication theory, circuits (94-XX)

Related Items (2)

PredictPDPS.jl ⋮ Regularisation, optimisation, subregularity

Uses Software

• Julia

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
• Transport equation and image interpolation with SBD velocity fields
• An algorithm for total variation minimization and applications
• A first-order primal-dual algorithm for convex problems with applications to imaging
• Testing and non-linear preconditioning of the proximal point method
• Optical Flow
• Julia: A Fresh Approach to Numerical Computing
• Convective regularization for optical flow
• Distributed Stochastic Optimization via Matrix Exponential Learning
• Prediction-Correction Algorithms for Time-Varying Constrained Optimization
• Relaxed Gauss--Newton Methods with Applications to Electrical Impedance Tomography
• Preconditioned proximal point methods and notions of partial subregularity
• Primal-Dual Extragradient Methods for Nonlinear Nonsmooth PDE-Constrained Optimization
• Real-Time PDE-Constrained Optimization
• Image Sequence Interpolation Based on Optical Flow, Segmentation, and Optimal Control
• Convex analysis and monotone operator theory in Hilbert spaces
• Variational optic flow computation with a spatio-temporal smoothness constraint

This page was built for publication: Predictive online optimisation with applications to optical flow