DAISY Filter Flow: A Generalized Discrete Approach to Dense Correspondences (original) (raw)

Dense Image-Matching via Optical Flow Field Estimation and Fast-Guided Filter Refinement

Ryosuke Shibasaki

Remote Sensing, 2019

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Scene flow estimation by growing correspondence seeds

Jordi Sanchezriera

CVPR 2011, 2011

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Fast Cost-Volume Filtering for Visual Correspondence and Beyond

C. Rother

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000

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GELAUTZ M.: Fast cost-volume filtering for visual correspondence and beyond

Asmaa Hosni

2011

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Axial Constraints for Global Matching-Based Optical Flow Estimation

Jae-Pil Heo

IEEE Access

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Efficient Dense Scene Flow from Sparse or Dense Stereo Data

Andreas Wedel

Lecture Notes in Computer Science, 2008

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Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score

Olivier Faugeras

International Journal of Computer Vision, 2006

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Learning Semantic Correspondence Exploiting an Object-level Prior

Jean Ponce

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020

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Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features

Minsu Cho

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019

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Spatiotemporal Stereo and Scene Flow via Stequel Matching

Richard Wildes

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012

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Estimating correspondence in digital video

Vitali Zagorodnov

itcc, 2001

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Piecewise Rigid Scene Flow

Konrad Schindler

2013 IEEE International Conference on Computer Vision, 2013

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A Continuous Optimization Approach for Efficient and Accurate Scene Flow

Fuxin Li

Lecture Notes in Computer Science, 2016

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Fundamental Principles on Learning New Features for Effective Dense Matching

Benjamin Wah

IEEE Transactions on Image Processing, 2017

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Local/global scene flow estimation

Frédéric Devernay

2013

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Local scene flow by tracking in intensity and depth

Frédéric Devernay

Journal of Visual Communication and Image Representation, 2014

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Efficient Sequential Correspondence Selection by Cosegmentation

Michal Perďoch

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000

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Correspondence Estimation In Image Pairs

Emile Hendriks

IEEE Signal Processing …, 1999

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Proposal Flow: Semantic Correspondences from Object Proposals

Minsu Cho, Jean Ponce

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A framework for efficient correspondence using feature interrelations

A. Delopoulos

2008 19th International Conference on Pattern Recognition, 2008

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Generalized Deformable Spatial Pyramid: Geometry-preserving dense correspondence estimation

Hwasup Lim

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

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Scene flow by tracking in intensity and depth data

Frédéric Devernay

2012

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A fast local descriptor for dense matching

Engin Tola

Computer Vision and Pattern …, 2008

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Correspondence Matching based on High Order Statistics for Multi-View plus depth video sequences

Azeddine Beghdadi

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GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence

Wen-Yan Lin

2017

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Optical Flow Estimation Using Local Features

Tim Morris

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An Anchor Patch Based Optimization Framework for Reducing Optical Flow Drift in Long Image Sequences

Matthew Brown

Lecture Notes in Computer Science, 2013

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Correspondence matching based on Higher Order Statistics for Multi-view plus Depth video sequences

Gaetano Scarano (UNIROMA1)

2014 5th European Workshop on Visual Information Processing (EUVIP), 2014

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Dense Segmentation-Aware Descriptors

Alberto Sanfeliu

2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

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