Home »
Academic Articles & Research Papers
Showing 20 of 1,656 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
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
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...
OPENALEX
DOI: https://doi.org/10.1109/34.42856
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
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
B. Valarmathi, N. Srinivasa Gupta, G. Prakash, R. Hemadri Reddy et al. • IEEE Access
(2023)
Deep learning and computer vision algorithms will be applied to find the breed of the dog from an image. The goal is to have the user submit an image of a dog, and the model will choose one of the 120 breeds stated in the dataset to determi...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3297440
Xuefei Yu, Jinan Gu, Zedong Huang, Zhijie Zhang • PLoS ONE
(2022)
Recent stereo matching methods, especially end-to-end deep stereo matching networks, have achieved remarkable performance in the fields of autonomous driving and depth sensing. However, state-of-the-art stereo algorithms, even with the deep...
DOAJ
Open Access (DOAJ)
Bruce G. Baumgart • AFIPS National Computer Conference (NCC)
(1975)
My approach to computer vision is best characterized as inverse computer graphics. In computer graphics, the world is represented in sufficient detail so that the image forming process can be numerically simulated to generate synthetic tele...
OPENALEX
DOI: https://doi.org/10.1145/1499949.1500071
Qun Zhao, Nisuo Du, Zhi Ouyang, Ning Kang et al. • IET Image Processing
(2021)
Abstract Person re‐identification (Re‐ID) is in significant demand for intelligent security and single or multiple‐target tracking. However, there are issues in the person Re‐ID tasks, such as sharp decline in cross‐data sets detection accu...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12292
Qing Huang, Xiaoyan Zhang, Anqi Jin, Menghui Lei et al. • Journal of Marine Science and Engineering
(2025)
Many studies have used various time-frequency feature extraction methods to convert ship-radiated noise into three-dimensional (3D) data suitable for computer vision (CV) models, which have shown good results in public datasets. However, tr...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jmse13030599
Dimitra G. Georgopoulou, Orestis Stavrakidis-Zachou, Orestis Stavrakidis-Zachou, Nikos Mitrizakis et al. • Frontiers in Animal Science
(2021)
Monitoring and understanding fish behavior is crucial for achieving precision in everyday husbandry practices (i.e. for optimizing farm performance), and for improving fish welfare in aquaculture. Various intelligent monitoring and control ...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fanim.2021.754520
Olutosin Ajibola Ademola, Eduard Petlenkov, Mairo Leier • IEEE Access
(2023)
Scene texts serve as valuable information for humans and autonomous systems to make informed decisions. Processing scene texts poses significant difficulties for computer systems due to several factors, primarily due to variations in image ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3283931
Opeyemi Bamigbade, Mark Scanlon, John Sheppard • IEEE Access
(2025)
Embeddings remain the best way to represent image features, but do not always capture all latent information. This is still a problem in representation learning, and computer vision descriptors struggle with precision and accuracy. Improvin...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3564496
Wenan Yuan • Data
(2024)
As one of the most important topics in contemporary computer vision research, object detection has received wide attention from the precision agriculture community for diverse applications. While state-of-the-art object detection frameworks...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/data9020036
Zhanping Song, Zifan Yang, Runke Huo, Yuwei Zhang • Applied Sciences
(2023)
With the rise of the fourth industrial revolution, traditional methods of analyzing investment have been transformed into intelligent methods under big data and the Internet of Things. This has created a new approach to solving practical en...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app13095454
Manas Kamal Bhuyan • CRC Press eBooks
(2019)
The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is on image acquisition and image formation models, radiometric models of image form...
OPENALEX
DOI: https://doi.org/10.1201/9781351248396
Sanjay Goswami, Kshama D. Dhobale, Ravindra D. Wavhale, Barnali Goswami et al. • Applied AI Letters
(2022)
Abstract The field of cancer nanomedicine has made significant progress, but its clinical translation is impeded by many challenges, such as the difficulty in analyzing intracellular anticancer drug release by the nanocarriers due to the la...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/ail2.50
Faisal Mehmood, Shabir Ahmad, Taeg Keun Whangbo • Mathematics
(2023)
Deep learning is a sub-branch of artificial intelligence that acquires knowledge by training a neural network. It has many applications in the field of banking, automobile industry, agriculture, and healthcare industry. Deep learning has pl...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math11061360
Bazzanini L., Angora G., Bergamini P., Meneghetti M. et al. • Astronomy & Astrophysics
(2026)
Strong gravitational lensing (SL) by galaxy clusters is a powerful probe of their inner mass distribution and a key test bed for cosmological models. However, the detection of SL events in wide-field surveys such as Euclid requires robust a...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/0004-6361/202557590
Om Khare, Sunil Mane, Harshmohan Kulkarni, Ninad Barve • Discover Artificial Intelligence
(2024)
Abstract Plant diseases significantly threaten global agriculture, impacting crop yield and food security. Nearly 30% of the crop yield is lost due to plant diseases. Efficient identification and classification of plant diseases through com...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-024-00150-3