An efficient local stereo matching method based on an adaptive exponentially weighted moving average filter in SLIC space-Reference-Cited by-同舟云学术

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An efficient local stereo matching method based on an adaptive exponentially weighted moving average filter in SLIC space

Published:2021-02-08 Issue:8 Volume:15 Page:1722-1732
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Yang Shan¹^ORCID,Lei Xinyue¹,Liu Zhenfeng¹,Sui Guorong¹

Affiliation:

1. School of Optical‐Electrical and Computer Engineering University of Shanghai for Science and Technology No. 516 JunGong Road Shanghai China

Funder

National Basic Research Program of China

Shanghai Leading Academic Discipline Project

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12140

Reference46 articles.

1. T.B. Jonathan 2015 4466 4474

2. Improvement of stereo matching algorithm for 3D surface reconstruction

3. Regional fuzzy binocular stereo matching algorithm based on global correlation coding for 3D measurement of rail surface

4. A taxonomy and evaluation of dense two‐frame stereo correspondence algorithms;Daniel S.;Int. J. Comput. Vis.,2002

5. A Maximum Likelihood Stereo Algorithm

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