Efficient binocular stereo correspondence matching with 1-D Max-Trees-Reference-Cited by-同舟云学术

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Efficient binocular stereo correspondence matching with 1-D Max-Trees

Published:2020-07 Issue: Volume:135 Page:402-408
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Brandt Rafaël,Strisciuglio Nicola^ORCID,Petkov Nicolai,Wilkinson Michael H.F.^ORCID

Funder

EU H2020

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference35 articles.

1. An improved non-local cost aggregation method for stereo matching based on color and boundary cue;Chen,2013

2. A deep visual correspondence embedding model for stereo matching costs;Chen,2015

3. Hierarchical region based stereo matching;Cohen,1989

4. A two-stage correlation method for stereoscopic depth estimation;Einecke,2010

5. Large-scale direct slam with stereo cameras;Engel,2015

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1. Robust Stereo Matching Method Using the Improved ADCensus Algorithm;2023 China Automation Congress (CAC);2023-11-17

2. Research on Unmanned Aircraft Environment Perception Methods in Urban Low Altitude Complex Backgrounds;Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering;2023-11-17

3. Semantic-aware self-supervised depth estimation for stereo 3D detection;Pattern Recognition Letters;2023-03

4. A novel factor graph-based optimization technique for stereo correspondence estimation;Scientific Reports;2022-09-16

5. Depth Map Information from Stereo Image Pairs using Deep Learning and Bilateral Filter for Machine Vision Application;2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA);2022-08-06

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