Vol. 31 No. 1/4 (2022) | Machine Graphics and Vision

Vol. 31 No. 1/4 (2022)

DOI: https://doi.org/10.22630/MGV.2022.31.1

Published: 2022-12-19

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Attention-based U-Net for image demoiréing

Tomasz Lehmann

3-17

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ForestTaxator: A tool for detection and approximation of cross-sectional area of trees in a cloud of 3D points

Maciej Małaszek, Andrzej Zembrzuski, Krzysztof Gajowniczek

19-48

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Attention-based deep learning model for Arabic handwritten text recognition

Takwa Ben Aïcha Gader, Afef Kacem Echi

49-73

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Lexicon and attention based handwritten text recognition system

Lalita Kumari, Sukhdeep Singh, Vaibhav Varish Singh Rathore, Anuj Sharma

75-92

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Person re-identification accuracy improvement by training a CNN with the new large joint dataset and re-rank

Rykhard Bohush, Sviatlana Ihnatsyeva, Sergey Ablameyko

93-109

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Announcements

Special Issue: Computer Vision with Blockchain for Secure Authentication in Smart Environments

February 1, 2024

Blockchain now enables secure monitoring of the processes without navigating access restrictions, paving the way for opportunities in distributed learning, encrypted training data, and enhanced computer vision processes. Authentication in blockchain involves using a private key to sign transactions, validated by public keys and protected through hashing in a distributed digital ledger system. In a blockchain network, global nodes record and validate transactions, eliminating a single point of failure and centralized authority. This decentralized and immutable nature holds promise for improving data integrity, security, and trust in IoT ecosystems, addressing vulnerabilities and ensuring the safe functioning of connected devices.
(see the full announcement here)

Dr. Roseline Oluwaseun Ogundokun, Guest Editor

Original research papers

Attention-based U-Net for image demoiréing

ForestTaxator: A tool for detection and approximation of cross-sectional area of trees in a cloud of 3D points

Attention-based deep learning model for Arabic handwritten text recognition

Lexicon and attention based handwritten text recognition system

Person re-identification accuracy improvement by training a CNN with the new large joint dataset and re-rank