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Academic Articles & Research Papers
Showing 20 of 188 academic articles
Panpan LI, Zhengxia XIE, Guangxue YUE, Xin LIU • Dianxin kexue
(2022)
With the continues expansion of the application boundary for wireless communications, the application environment of wireless communications is becoming increasingly complex and diverse, which faces negative impacts such as radio frequency ...
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Open Access (DOAJ)
Xiufeng Wu, Xueli Li, Guangxing Cao, Chao Guo et al. • IEEE Access
(2024)
Bolts are critical components of tunnel linings, essential for ensuring safe tunnel operation. Due to their susceptibility to corrosion and detachment, it is vital to closely monitor them during maintenance. However, identifying a large num...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3513697
Wesley E. Snyder, Hairong Qi • Cambridge University Press eBooks
(2017)
Computer vision has widespread and growing application including robotics, autonomous vehicles, medical imaging and diagnosis, surveillance, video analysis, and even tracking for sports analysis. This book equips the reader with crucial mat...
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DOI: https://doi.org/10.1017/9781316882641
Bogusław Cyganek, Jan Paul Siebert • Wiley eBooks
(2009)
present basic low-level image processing operations for image matching, including a separate chapter on image matching algorithms; \n explain scale-space vision, as well as space reconstruction and multiview integration; \n demonstrate a va...
OPENALEX
DOI: https://doi.org/10.1002/9780470699720
Eirini Cholopoulou, Dimitrios E. Diamantis, Dimitra-Christina C. Koutsiou, Dimitris K. Iakovidis • IEEE Access
(2026)
Effective shadow removal is pivotal in enhancing visual image quality in applications such as computer vision and digital photography. During the last decades physics-based and machine learning methodologies have been proposed; however, mos...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3728048
Wei Xue, Xiaoyan Xia, Pengcheng Wan, Ping Zhong et al. • Tsinghua Science and Technology
(2025)
Deep neural networks are commonly used in computer vision tasks, but they are vulnerable to adversarial samples, resulting in poor recognition accuracy. Although traditional algorithms that craft adversarial samples have been effective in a...
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Open Access (DOAJ)
DOI: 10.26599/TST.2024.9010029
Ola Basheer, Zohair Al-Ameen • Sistemasi: Jurnal Sistem Informasi
(2024)
With the increasing spread of nighttime images and their importance in human lives, and the development of computer vision, producing images with the highest possible quality is paramount. Nighttime images have been improved over the past d...
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Open Access (DOAJ)
DOI: 10.32520/stmsi.v13i3.3938
Jayasingam Adhuran, Gosala Kulupana, Anil Fernando • IEEE Access
(2022)
The rapid development of virtual reality applications continues to urge better compression of 360° videos owing to the large volume of content. These videos are typically converted to 2-D formats using various projection techniques i...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3219861
Jhansi Rani Challapalli, Nagaraju Devarakonda • Machine Learning: Science and Technology
(2023)
Multi-person pose estimation (MPE) remains a significant and intricate issue in computer vision. This is considered the human skeleton joint identification issue and resolved by the joint heat map regression network lately. Learning robust ...
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Open Access (DOAJ)
DOI: 10.1088/2632-2153/acc9fc
Minh-Phuong Tran • ELCVIA Electronic Letters on Computer Vision and Image Analysis
(2019)
The paper is devoted to the new model for image decomposition, that splits an image $f$ into three components $u+v+\omega$, with $u$ a piecewise-smooth or the ``cartoon'' component, $v$ a texture component and $\omega$ the noise part in var...
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Open Access (DOAJ)
DOI: 10.5565/rev/elcvia.1162
Joseph L. Mundy, Andrew Zisserman • The MIT Press eBooks
(1992)
Part 1 Foundations: algebraic invariants - invariant theory and enumerative combinatorics of young tableaux, Shreeram S. Abhyankar, geometric interpretation of joint conic invariants, Joseph L. Mundy, et al, an experimental evaluation of pr...
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Charles V. Stewart • SIAM Review
(1999)
Estimation techniques in computer vision applications must estimate accurate model parameters despite small-scale noise in the data, occasional large-scale measurement errors (outliers), and measurements from multiple populations in the sam...
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DOI: https://doi.org/10.1137/s0036144598345802
Bei Liu • Modelling and Simulation in Engineering
(2026)
Traditional image detection and recognition models face issues such as high miss detection rates, low classification accuracy, and poor real-time performance when dealing with complex printing images, including defects and flaws. To address...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/mse/7182616
Guiqing He, Siyuan Xing, Xingjian He, Jun Wang et al. • IET Computer Vision
(2019)
The image fusion method based on sparse representation in the single‐scale image domain has produced better fusion results than the classic methods based on multi‐scale analysis nowadays. However, due to the limited number of dictionary ato...
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Open Access (DOAJ)
DOI: 10.1049/iet-cvi.2018.5496
Paulo Monteiro de Carvalho Monson, Vinicius Augusto Dare de Almeida, Gabriel Augusto David, Pedro Oliveira Conceição Junior et al. • Engineering Proceedings
(2024)
Computer vision applications demand a significant amount of data for effective training and inference in many computer vision tasks. However, data insufficiency situations usually happen due to multiple reasons, resulting in computational m...
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Open Access (DOAJ)
DOI: 10.3390/ecsa-11-20476
Zhouyi Wang, Changcheng Wang • Applied Sciences
(2025)
Super-resolution reconstruction is a critical task in remote sensing image classification, and generative adversarial networks (GANs) have emerged as a dominant approach in this field. Traditional generative networks often produce low-quali...
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Open Access (DOAJ)
DOI: 10.3390/app15031179
R. Bradski Gary (1998)
As a first step towards a perceptual user interface, a computer vision color tracking algorithm is developed and applied towards tracking human faces. Computer vision algorithms that are intended to form part of a perceptual user interface ...
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Yejin Jung, Sunwoo Cho, Haeyoon Yang, Nam Ik Cho • IEEE Access
(2025)
Semantic segmentation assigns class labels at the pixel level, forming a key part of various computer vision applications, including autonomous driving, medical imaging, and robotics. However, segmentation accuracy often drops significantly...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3641590
Catarina de Nazaré Pereira Pinheiro, Roosevelt de Lima Sardinha, Pablo Machado Barros, André Bulcão et al. • Applied Sciences
(2024)
Neural networks have been used in various computer vision applications, including noise removal. However, removing seismic noise via deep learning approaches faces a specific issue: the scarcity of labeled data. To address this difficulty, ...
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Open Access (DOAJ)
DOI: 10.3390/app14219721
Jiajun Guo, Qingge Ji, Guangwei Shan • IET Image Processing
(2024)
Abstract Current skeleton‐based action recognition methods usually assume the input skeleton is complete and noise‐free. However, it is inevitable that the captured skeletons are incomplete due to occlusions or noisy due to changes in the e...
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Open Access (DOAJ)
DOI: 10.1049/ipr2.12944