Global Auto-Regressive Depth Recovery via Iterative Non-Local Filtering

IEEE Transactions on Broadcasting - United States
doi 10.1109/tbc.2018.2818405
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related search

Comparison of Auto-Regressive, Non-Stationary Excited Signal Parameter Estimation Methods

English

Global Local Iterative Analysis Using Overlaying Mesh Method

Journal of the Society of Naval Architects of Japan
2002English

Non-Iterative Approach for Global Mesh Optimization

CAD Computer Aided Design
Computer Science ApplicationsComputer GraphicsComputer-Aided DesignManufacturing EngineeringIndustrial
2007English

Iterative Control of Görtler Vortices via Local Wall Deformations

Theoretical and Computational Fluid Dynamics
Computational MechanicsTransfer ProcessesEngineeringFluid FlowCondensed Matter Physics
2017English

Global Stabilization via Local Stabilizing Actions

IEEE Transactions on Automatic Control
ControlSystems EngineeringComputer Science ApplicationsElectricalElectronic Engineering
2006English

Multiple Speaker Tracking in Spatial Audio via PHD Filtering and Depth-Audio Fusion

IEEE Transactions on Multimedia
Electronic EngineeringMedia TechnologyComputer Science ApplicationsElectricalSignal Processing
2018English

Improved Iterative Shrinkage-Thresholding for Sparse Signal Recovery via Laplace Mixtures Models

Eurasip Journal on Advances in Signal Processing
HardwareElectronic EngineeringSignal ProcessingElectricalArchitecture
2018English

Change Point Estimation of the Stationary State in Auto Regressive Moving Average Models, Using Maximum Likelihood Estimation and Singular Value Decomposition-Based Filtering

International Journal of Engineering, Transactions B: Applications
Engineering
2019English

Impact of Rician Adapted Non-Local Means Filtering on HARDI

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2008English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy