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Showing 20 of 1,539 academic articles
A Gruen and T S Huang • Measurement Science and Technology
(2002)
One of my greatest hates is the edited book with chapters from a number of different authors, some of which have evidently been written in haste against the final deadline, and most of which show marked divergence of content, opinion, notat...
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DOI: https://doi.org/10.1088/0957-0233/13/2/707
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
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
Gundersen KG, Potvin R • Clinical Ophthalmology
(2016)
Kjell G Gundersen,1 Rick Potvin21IFocus Øyeklinikk AS, Haugesund, Norway; 2Science in Vision, Akron, NY, USAPurpose: To compare the visual acuity (VA) and quality of vision between bilateral implantation of a trifocal intraocular len...
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Open Access (DOAJ)
Nazeer Bilal, Pradeep Carol Santhosh, Vargas Patricia A., Erden Mustafa Suphi et al. • Manufacturing Review
(2025)
This study presents a comprehensive study of a novel Contact-Based Pose Estimation Method (CBPEM) for enhancing precision in robotic assembly processes within digital twin frameworks. Conventional pose detection methods, such as laser and c...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/mfreview/2025004
Erik Murphy-Chutorian, Mohan Manubhai Trivedi • IEEE Transactions on Pattern Analysis and Machine Intelligence
(2009)
The capacity to estimate the head pose of another person is a common human ability that presents a unique challenge for computer vision systems. Compared to face detection and recognition, which have been the primary foci of face-related vi...
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DOI: https://doi.org/10.1109/tpami.2008.106
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 ...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/2632-2153/acc9fc
Manabu Okawa • IEEE Access
(2025)
Offline writer identification is an essential component of biometric and forensic security fields, focusing on identifying the authors of handwritten documents in physical form. Historically, this approach has focused on text-dependent iden...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3586994
Daniela Arbeláez-Lelion, Francisco Ocaziones, Mateo José Murcia-Ramos, Samuel Salgado et al. • Cirugía Cardiovascular
(2026)
Artificial intelligence (AI) and computer vision (CV) are increasingly applied in vascular surgery for preoperative mapping and intraoperative flow/perfusion assessment, with potential to enhance safety and efficiency. However, the extent o...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.circv.2025.10.002
Dong Wang, Yaowen Kang, Yibin Chen, Yuefang Gao et al. • Journal of King Saud University: Computer and Information Sciences
(2026)
Abstract Image inpainting is crucial for restoring missing or corrupted regions in images, with diverse applications in computer vision and digital content creation. Existing deep learning-based methods, however, often struggle with large o...
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Open Access (DOAJ)
DOI: 10.1007/s44443-026-00545-5
Zongji Wang, Yunfei Liu, Feng Lu • Computational Visual Media
(2023)
Abstract Intrinsic image decomposition is an important and long-standing computer vision problem. Given an input image, recovering the physical scene properties is ill-posed. Several physically motivated priors have been used to restrict th...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s41095-022-0294-4
Scott E. Umbaugh • Prentice Hall PTR eBooks
(1997)
From the Publisher:
True computer imaging for engineers!
Digital signal processing has long been the domain of electrical engineers, while the manipulation of image data has been handled by computer scientists. The convergence of these...
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Sebastian Nowozin • now publishers, Inc. eBooks
(2010)
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structure reflecting task-specific relations and constraints. Structu...
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DOI: https://doi.org/10.1561/9781601984579
Agnès Desolneux, Lionel Moisan, Jean‐Michel Morel • Kluwer Academic Publishers eBooks
(2006)
In the Wertheimer programme there are two kinds of organizing laws. The rst kind are grouping laws which, starting from atomic and local data, recursively construct larger groups in the perceived image. Each grouping law focuses on a single...
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DOI: https://doi.org/10.1007/1-4020-2081-3_4
Lu Yuan, Dongdong Chen, Yi‐Ling Chen, Noel Codella et al. • arXiv (Cornell University)
(2021)
Automated visual understanding of our diverse and open world demands computer vision models to generalize well with minimal customization for specific tasks, similar to human vision. Computer vision foundation models, which are trained on d...
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Open Access
DOI: https://doi.org/10.48550/arxiv.2111.11432
Chuanhui Shan, Xinlong Geng, Chao Han • Heliyon
(2024)
Extracting and detecting road network consistency from high-resolution remote sensing images has been a hot and difficult problem in the computer vision. Although it has made significant progress, there is still a phenomenon of high trainin...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.heliyon.2024.e37470
Yu-wen Chen, Ju Zhang, Peng Wang, Zheng-yu Hu et al. • Frontiers in Computational Neuroscience
(2022)
Computer-assisted surgery (CAS) has occupied an important position in modern surgery, further stimulating the progress of methodology and technology. In recent years, a large number of computer vision-based methods have been widely used in ...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fncom.2022.998096
Luna Ngeljaratan, Elif Ecem Bas, Mohamed A. Moustafa • Sensors
(2024)
Computer vision in the structural health monitoring (SHM) field has become popular, especially for processing unmanned aerial vehicle (UAV) data, but still has limitations both in experimental testing and in practical applications. Prior wo...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s24051450
Munir Oudah, Ali Al‐Naji, Javaan Chahl • Journal of Imaging
(2020)
Hand gestures are a form of nonverbal communication that can be used in several fields such as communication between deaf-mute people, robot control, human-computer interaction (HCI), home automation and medical applications. Research paper...
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DOI: https://doi.org/10.3390/jimaging6080073
PMC: 8321080
A. David Marshall, R. R. Martin • World Scientific series in robotics and intelligent systems
(1992)
The main focus of this book is on the uses of computer vision for inspection and model based matching. It also provides a short, self contained introductory course on computer vision. The authors describe various state-of-the-art approaches...
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DOI: https://doi.org/10.1142/1492