Colour-weighted rank transform and improved dynamic programming for fast and accurate stereo matching-Reference-Cited by-同舟云学术

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Colour-weighted rank transform and improved dynamic programming for fast and accurate stereo matching

Published:2023-04-23 Issue:2 Volume:72 Page:238-253
ISSN:1368-2199
Container-title:The Imaging Science Journal
language:en
Short-container-title:The Imaging Science Journal

Author:

Hallek Mohamed¹,Khemiri Randa²,Aseere Ali³,Mtibaa Abdellatif⁴,Atri Mohamed³^ORCID

Affiliation:

1. Laboratory of Electronics and Microelectronics, University of Monastir, Monastir, Tunisia

2. Networked Objects, Control, and Communication Systems Laboratory, ENISO, Sousse University, Sousse, Tunisia

3. College of Computer Science, King Khalid University, Abha, Saudi Arabia

4. National Engineering School of Sfax, University of Sfax, Sfax, Tunisia

Funder

Deanship of Scientific Research at King Khalid University

Publisher

Informa UK Limited

Subject

Computer Vision and Pattern Recognition,Media Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/13682199.2023.2202096

Reference52 articles.

1. Literature Survey on Stereo Vision Disparity Map Algorithms

2. A survey of the state-of-the-art in patch-based synthesis

3. Einecke N Eggert J. A two-stage correlation method for stereoscopic depth estimation. 2010 International Conference on Digital Image Computing: Techniques and Applications Sydney NSW Australia 2010. p. 227–234. Sydney NSW Australia: IEEE.

4. Cascaded Multi-scale and Multi-dimension Convolutional Neural Network for Stereo Matching

5. Evaluation of Stereo Matching Costs on Images with Radiometric Differences

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