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Showing 20 of 1,629 academic articles
Jungong Han, Ling Shao, Dong Xu, Jamie Shotton • IEEE Transactions on Cybernetics
(2013)
With the invention of the low-cost Microsoft Kinect sensor, high-resolution depth and visual (RGB) sensing has become available for widespread use. The complementary nature of the depth and visual information provided by the Kinect sensor o...
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DOI: https://doi.org/10.1109/tcyb.2013.2265378
Abdulla Al-Kaff, David Martín, Fernando García, Arturo de la Escalera et al. • Expert Systems with Applications
(2017)
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Open Access
DOI: https://doi.org/10.1016/j.eswa.2017.09.033
Arailym Serikbay, Venera Nurmanova, Yerbol Akhmetov, Amin Zollanvari et al. • International Transactions on Electrical Energy Systems
(2025)
Regular monitoring of outdoor insulators is crucial to ensure the reliable functioning of the power grid. With recent progress in computer vision technologies, traditional manual and expensive visual inspections can now be replaced by autom...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/etep/8669289
Francesco Nex, Davide Marenchino, Andrea Lingua • Sensors
(2009)
In the photogrammetry field, interest in region detectors, which are widely used in Computer Vision, is quickly increasing due to the availability of new techniques. Images acquired by Mobile Mapping Technology, Oblique Photogrammetric Came...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s90503745
Siham Bakkouri, Abderrahmane Elyousfi • IEEE Access
(2022)
As an extension of the High Efficiency Video Coding (HEVC) standard, the 3D-HEVC needs to encode multiple texture videos and depth maps components. In the 3D-HEVC inter-coding test model, a large variety of Coding Unit (CU) sizes are adopte...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3147502
Chuan‐Zhi Dong, F. Necati Çatbaş • Structural Health Monitoring
(2020)
Structural health monitoring at local and global levels using computer vision technologies has gained much attention in the structural health monitoring community in research and practice. Due to the computer vision technology application a...
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DOI: https://doi.org/10.1177/1475921720935585
Michael Isard • IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
(2003)
Probabilistic models have been adopted for many computer vision applications, however inference in high-dimensional spaces remains problematic. As the state-space of a model grows, the dependencies between the dimensions lead to an exponent...
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DOI: https://doi.org/10.1109/cvpr.2003.1211410
J. R. Parker (1996)
A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in ...
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Junfeng Gao, Yong Yang, Pan Lin, Dong Sun Park • Journal of Healthcare Engineering
(2018)
The research of computer vision, imaging processing and pattern recognition has made substantial progress during the past several decades.Also, medical imaging has attracted increasing attention in recent years due to its vital component in...
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DOI: https://doi.org/10.1155/2018/5157020
PMC: 5857319
E EC, A C, M M, J C et al. • Yearbook of medical informatics
(2025)
PMC
PMC Public Access (View-Only)
DOI: 10.1055/s-0046-1816688
PMC: PMC13730680
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3728048
Huiyan Han, Hongwei Zeng, Liqun Kuang, Xie Han et al. • Scientific Reports
(2024)
Abstract Human activity recognition has a wide range of applications in various fields, such as video surveillance, virtual reality and human–computer intelligent interaction. It has emerged as a significant research area in computer vision...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-024-65850-3
Siham Essahraui, Ismail Lamaakal, Yassine Maleh, Khalid El Makkaoui et al. • IEEE Access
(2025)
Human Behavior Analysis (HBA) has emerged as a critical interdisciplinary field, combining psychology, sociology, artificial intelligence, and data science to model, understand, and predict human behavior across diverse domains. This paper ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3589938
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3219861
Esma Dilek, Murat Dener • Sensors
(2023)
As technology continues to develop, computer vision (CV) applications are becoming increasingly widespread in the intelligent transportation systems (ITS) context. These applications are developed to improve the efficiency of transportation...
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DOI: https://doi.org/10.3390/s23062938
PMC: 10051529
Ekta Sinha, Ashwani Kumar, Abhinav Tyagi • International Journal For Multidisciplinary Research
(2025)
OpenCV is a powerful, open-source toolkit designed for handling real-time computer vision challenges and advanced image processing tasks. It enables automated systems to interpret images and videos effectively. This paper explores the capab...
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DOI: https://doi.org/10.36948/ijfmr.2025.v07i03.44280
Yuzhen Lu, Sierra N. Young • Computers and Electronics in Agriculture
(2020)
Computer vision technologies have attracted significant interest in precision agriculture in recent years. At the core of robotics and artificial intelligence, computer vision enables various tasks from planting to harvesting in the crop pr...
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DOI: https://doi.org/10.1016/j.compag.2020.105760
(2025)
International Journal of Computer Vision (IJCV) by IAEME Publication is an open-access, peer-reviewed international journal that serves as a premier forum presenting cutting-edge research in computer vision, encompassing mathematical, compu...
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DOI: https://doi.org/10.34218/ijcv
Suman Paneru, Idris Jeelani • Automation in Construction
(2021)
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Open Access
DOI: https://doi.org/10.1016/j.autcon.2021.103940
Fatima Alsakka, Sena Assaf, Ibrahim El-chami, Mohamed Al‐Hussein • Automation in Construction
(2023)
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DOI: https://doi.org/10.1016/j.autcon.2023.104980