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Academic Articles & Research Papers
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Adrian Kaehler, Gary R. Bradski (2016)
Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build...
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Billie F. Spencer, Vedhus Hoskere, Yasutaka Narazaki • Engineering
(2019)
Computer vision techniques, in conjunction with acquisition through remote cameras and unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure condition assessment. The ultimate goal of such a system i...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.eng.2018.11.030
Theo Gevers, Arjan Gijsenij, Joost van de Weijer, Jan‐Mark Geusebroek • Wiley eBooks
(2012)
While the field of computer vision drives many of today’s digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color i...
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DOI: https://doi.org/10.1002/9781118350089
Yanxi Liu, Hagit Zabrodsky Hel-Or, Craig S. Kaplan, Luc Van Gool • Foundations and Trends® in Computer Graphics and Vision
(2010)
In the arts and sciences, as well as in our daily lives, symmetry has made a profound and lasting impact. Likewise, a computational treatment of symmetry and group theory (the ultimate mathematical formalization of symmetry) has the potenti...
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DOI: https://doi.org/10.1561/0600000008
E. Nocerino, F. Lago, D. Morabito, F. Remondino et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2017)
During the last two decades we have witnessed great improvements in ICT hardware and software technologies. Three-dimensional
content is starting to become commonplace now in many applications. Although for many years 3D technologies have b...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLII-2-W3-535-2017
Kefeng Lv, Yongsheng Zhang, Ying Yu, Zhenchao Zhang et al. • Remote Sensing
(2022)
Visual localization is a core part of many computer vision and geospatial perception applications; however, the ever-changing time phase and environment present challenges. Moreover, the ever-enriching spatial data types and sensors create ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs14163983
Joseph Joel Pollak, Arnon Houri-Yafin, Seth J. Salpeter • Frontiers in Public Health
(2017)
Accurate malaria diagnosis is critical to prevent malaria fatalities, curb overuse of antimalarial drugs, and promote appropriate management of other causes of fever. While several diagnostic tests exist, the need for a rapid and highly acc...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpubh.2017.00219
Vinodkumar Patil, Manisha Patil, Smital Patil, Satish Desale • Advances in Engineering and Intelligence Systems
(2026)
Accurate detection of brain tumors at early stages is crucial for clinical diagnosis and treatment planning. Magnetic Resonance Imaging (MRI) is the most popular method due to its soft-tissue contrast and spatial resolution. However, manual...
DOAJ
Open Access (DOAJ)
DOI: 10.22034/aeis.2026.570662.1424
Zhengwei Wang, Qi She, Tomas Emmanuel Ward • ACM Computing Surveys
(2021)
Generative adversarial networks (GANs) have been extensively studied in the past few years. Arguably their most significant impact has been in the area of computer vision where great advances have been made in challenges such as plausible i...
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Open Access
DOI: https://doi.org/10.1145/3439723
R. D. Boyle, Robin Thomas • Cumulative Index of Computer Aided Architectural Design
(1988)
Computer vision is a new discipline recently developed from image processing, which is able to take raw images, and, after suitable processing, derive information from them automatically. Computer vision applications are legion in the areas...
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Roberto Brunelli • Wiley eBooks
(2009)
The detection and recognition of objects in images is a key research topic in the computer vision community. Within this area, face recognition and interpretation has attracted increasing attention owing to the possibility of unveiling huma...
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DOI: https://doi.org/10.1002/9780470744055
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
Lakshmi Sree Pugalenthi, Chris Garapati, Srivarshini Maddukuri, Fnu Kanwal et al. • Journal of Vascular Diseases
(2025)
Background: Varicose veins (VVs) of the lower limbs, characterized by palpable, dilated, and tortuous veins, affect 2–73% of the global population. Artificial intelligence (AI) offers significant potential to enhance healthcare efficiency a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jvd4020019
Nikita Andriyanov • Mathematics
(2022)
On the one hand, the solution of computer vision tasks is associated with the development of various kinds of images or random fields mathematical models, i.e., algorithms, that are called traditional image processing. On the other hand, no...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math10214021
Radu Constantin Parpală, Mario Andrei Ivan, Lidia Florentina Parpală, Costel Emil Coteț et al. • Applied Sciences
(2024)
The increase in positioning accuracy and repeatability allowed the integration of robots in assembly operations using guidance systems (structured applications) or video acquisition systems (unstructured applications). This paper proposes a...
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Open Access (DOAJ)
DOI: 10.3390/app14198687
Liu Yuxin • ITM Web of Conferences
(2025)
With the advent of the Transformer, the attention mechanism has been applied to Large Language Model (LLM), evolving from initial single- modal large models to today's multi-modal large models. This has greatly propelled the development of ...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/itmconf/20257302025
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, ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14219721
Jinxin Chen, Luo Liu, Peng Li, Wen Yao et al. • Agriculture
(2025)
The resting postures of piglets are crucial indicators for assessing their health status and environmental comfort. This study proposes a resting posture recognition method for piglets during lactation based on the PPR-YOLO model, aiming to...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/agriculture15030230
Václav Diviš, Bastian Spatz, Marek Hrúz • AI
(2024)
Recent research has drawn attention to the ambiguity surrounding the definition and learnability of Out-of-Distribution recognition. Although the original problem remains unsolved, the term “Out-of-Model Scope” detection offers a clearer pe...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/ai5040104
Richard Boadu Antwi, Michael Kimollo, Samuel Yaw Takyi, Eren Erman Ozguven et al. • Smart Cities
(2024)
Advancements in computer vision are rapidly revolutionizing the way traffic agencies gather roadway geometry data, leading to significant savings in both time and money. Utilizing aerial and satellite imagery for data collection proves to b...
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Open Access (DOAJ)
DOI: 10.3390/smartcities7030059