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Showing 20 of 547 academic articles
Andrei Mihalea, Adina Magda Florea • Applied Sciences
(2024)
Computer vision has significantly influenced recent advancements in autonomous driving by providing cutting-edge solutions for various challenges, including object detection, semantic segmentation, and comprehensive scene understanding. One...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14177776
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/smartcities7030059
William T. Freeman, David Anderson, Paul A. Beardsley, C.N. Dodge et al. • IEEE Computer Graphics and Applications
(1998)
Vision can be a powerful interface device for computers because of its potential for sensing body position, head orientation, direction of gaze, pointing commands, and gestures. Such unencumbered interaction can make computers easier to use...
OPENALEX
DOI: https://doi.org/10.1109/38.674971
Sebastian Nowozin, Christoph H. Lampert • Foundations and Trends® in Computer Graphics and Vision
(2011)
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. This mo...
OPENALEX
DOI: https://doi.org/10.1561/0600000033
Asharul Islam Khan, Salim Al-Habsi • Procedia Computer Science
(2020)
During last few years the computer applications have gone dramatic transformation from simple data processing to machine learning, thanks to the availability and accessibility of huge volume of data collected through sensors and internet. T...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.procs.2020.03.355
Daniilidis, Kostas, Nikos Paragios A, Maragos, Petros • Lecture notes in computer science
(2010)
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DOI: https://doi.org/10.1007/978-3-642-15561-1
Boaz Zion • Computers and Electronics in Agriculture
(2012)
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DOI: https://doi.org/10.1016/j.compag.2012.07.010
Colby R. Hansen, Tom Henderson • IEEE Transactions on Pattern Analysis and Machine Intelligence
(1989)
The authors explore the connection between CAGD (computer-aided geometric design) and computer vision. A method for the automatic generation of recognition strategies based on the 3-D geometric properties of shape has been devised and imple...
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DOI: https://doi.org/10.1109/34.42856
Daniel A. Hashimoto, Guy Rosman, Elan R. Witkowski, Caitlin E. Stafford et al. • Annals of Surgery
(2019)
OBJECTIVE(S): To develop and assess AI algorithms to identify operative steps in laparoscopic sleeve gastrectomy (LSG). BACKGROUND: Computer vision, a form of artificial intelligence (AI), allows for quantitative analysis of video by comput...
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Open Access
DOI: https://doi.org/10.1097/sla.0000000000003460
PMC: 7216040
Bernt Schiele, Sagerer, Gerhard • Lecture notes in computer science
(2001)
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DOI: https://doi.org/10.1007/3-540-48222-9
Zhenbo Li, Ruohao Guo, Meng Li, Yaru Chen et al. • Computers and Electronics in Agriculture
(2020)
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DOI: https://doi.org/10.1016/j.compag.2020.105672
Yiannis Aloimonos, Azriel Rosenfeld • Science
(1991)
The field of computer vision is devoted to discovering algorithms, data representations, and computer architectures that embody the principles underlying visual capabilities. This article describes how the field of computer (and robot) visi...
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DOI: https://doi.org/10.1126/science.1891713
Neeta Nain, Santosh Kumar Vipparthi, Balasubramanian Raman • Communications in computer and information science
(2020)
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DOI: https://doi.org/10.1007/978-981-15-4015-8
• Lecture notes in computer science
(1992)
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DOI: https://doi.org/10.1007/3-540-55426-2
(2011)
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DOI: https://doi.org/10.1109/iccv17851.2011
Kevin W. Bowyer, P. Jonathon Phillips (1998)
From the Publisher:
Empirical Evaluation Techniques in Computer Vision presents methods that allow comparative assessment of algorithms and the accompanying benefits: places computer vision on solid experimental and scientific grounds, ass...
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Jinzhou Luo, Jiazhao Sun, Xiaoli Hao, Heng Liu et al. • Insects
(2026)
Myzus persicae is the most devastating piercing-sucking pest threatening tobacco production. Precise quantification of infestation severity is a prerequisite for precision pest management, making the integration of visual image analysis hig...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/insects17030305
You Li, Jingjing Cao, Ying Sun, Dan Song et al. • Advances in Difference Equations
(2021)
Abstract In this paper, we investigate the spatiotemporal patterns of a freshwater tussock sedge model with discrete time and space variables. We first analyze the kinetic system and show the parametric conditions for flip and Neimark–Sacke...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13662-021-03557-9
Ehtesham Hassan, Yasser Khalil, Imtiaz Ahmad • Journal of Engineering
(2020)
Object detection in real images is a challenging problem in computer vision. Despite several advancements in detection and recognition techniques, robust and accurate localization of interesting objects in images from real-life scenarios re...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2020/7286187
Simegnew Yihunie Alaba, Ali C. Gurbuz, John E. Ball • World Electric Vehicle Journal
(2024)
The pursuit of autonomous driving relies on developing perception systems capable of making accurate, robust, and rapid decisions to interpret the driving environment effectively. Object detection is crucial for understanding the environmen...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/wevj15010020