Amanote Research

Amanote Research

    RegisterSign In

Scene Flow Estimation From Sparse Light Fields Using a Local 4D Affine Model

IEEE Transactions on Computational Imaging - United States
doi 10.1109/tci.2020.2981200
Full Text
Open PDF
Abstract

Available in full text

Categories
Computational MathematicsComputer Science ApplicationsSignal Processing
Date

January 1, 2020

Authors
Pierre DavidMikael Le PenduChristine Guillemot
Publisher

Institute of Electrical and Electronics Engineers (IEEE)


Related search

Scene Flow Estimation Using Intelligent Cost Functions

2014English

Traffic Light Controller System Using Optical Flow Estimation

International Journal of Computer Applications Technology and Research
2015English

Estimation of Flow Velocity Vector Fields Using Neural Networks

Transactions of the Society of Instrument and Control Engineers
1998English

Time Varying Volumetric Scene Reconstruction Using Scene Flow

2007English

A Sparse-To-Dense Method for 3D Optical Flow Estimation in 3D Light-Microscopy Image Sequences

2018English

Spectral Methods for 3-D Motion Segmentation of Sparse Scene-Flow

2007English

Local Scene Flow by Tracking in Intensity and Depth

Journal of Visual Communication and Image Representation
Electronic EngineeringMedia TechnologySignal ProcessingComputer VisionElectricalPattern Recognition
2014English

Sparse Signal Recovery Using Markov Random Fields

2009English

Scene Flow Estimation Based on Adaptive Anisotropic Total Variation Flow-Driven Method

Mathematical Problems in Engineering
MathematicsEngineering
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy