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Academic Articles & Research Papers
Showing 20 of 1,254 academic articles
Alireza Haji Fathaliyan, Xiaoyu Wang, Veronica J. Santos • Frontiers in Robotics and AI
(2018)
Human–robot collaboration could be advanced by facilitating the intuitive, gaze-based control of robots, and enabling robots to recognize human actions, infer human intent, and plan actions that support human goals. Traditionally, gaze trac...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frobt.2018.00025
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
Long Zhang, Chuang Zhu, YueWei Wu, Yang Yang et al. • IET Image Processing
(2021)
Abstract Ischemic stroke is the most common stroke and the leading cause of disability and death in the world. Computed tomography (CT) is a popular and economical diagnostic device for the stroke, However the ischemic stroke lesions are no...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12267
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)
Jialiang Wang, Jianxu Luo, Bin Liu, Rui Feng et al. • IET Computer Vision
(2020)
In this work, we develop a computer‐aided retinal image screening system that can perform automated diabetic retinopathy (DR) grading and DR lesion detection in retinal fundus images. We propose a modified object‐detection method for this t...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/iet-cvi.2018.5508
Ahmed Banafa • River Publishers eBooks
(2024)
Computer vision is a field of study that enables computers to interpret and understand visual data from the world around us. This field has seen significant advancements in recent years, thanks to the increasing availability of large datase...
OPENALEX
DOI: https://doi.org/10.1201/9781032669182-5
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
Tryan Aditya Putra, Syahidah Izza Rufaida, Jenq-Shiou Leu • IEEE Access
(2020)
In recent years, deep learning has taken the spotlight in automated medical bioimaging. However, the performance of current state-of-the-art score stems primarily from well-tuned parameters and architecture. There is still only limited rese...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.2976045
Dakang Guo, Jiatao Wang, Zeyuan Lin, Youfu Liu et al. • Poultry Science
(2026)
In the stereoscopic cage-rearing system, monitoring the individual egg production of laying ducks is essential for identifying low-yield individuals and optimizing breeding management. To overcome the high deployment cost of multi-sensor mo...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.psj.2026.106479
Feng Xiong, Jintao Wang, Guohua Zhang, Xueming Shi et al. • Advances in Civil Engineering
(2024)
In the construction of the civil engineering infrastructure, the noise and vibration are affected by the geological conditions, adopting specific construction techniques based on the geological conditions is of great significance in suppres...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2024/3599911
Shuoye Chen, Rei Shiina, Kazushi Nakai, Tatsuya Awano et al. • Journal of Wood Science
(2023)
Abstract To predict the mechanical properties of wood in the transverse direction, this study used machine learning to extract the anatomical features of wood from cross-sectional stereograms. Specimens with different orientations of the ra...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s10086-023-02096-z
Roberto Manduchi, James M. Coughlan • Communications of the ACM
(2011)
Computer vision holds great promise for helping persons with blindness or visual impairments (VI) to interpret and explore the visual world. To this end, it is worthwhile to assess the situation critically by understanding the actual needs ...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/2063176.2063200
PMC: 3398697
T. Yu. Gainutdinova, S. V. Novikova, V. G. Gainutdinov, M. V. Trusfus et al. • Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение
(2023)
Algorithms for determining the attitude position of an aircraft or helicopter-type unmanned aerial vehicle relative to the landing platform with special optical marks are considered. An assessment is made of the possibility of calculating t...
DOAJ
Open Access (DOAJ)
DOI: 10.18287/2541-7533-2023-22-4-37-51
Younes Noutfia, Ewa Ropelewska, Zbigniew Jóźwiak, Krzysztof Rutkowski • Sensors
(2024)
The emergence of new technologies focusing on “computer vision” has contributed significantly to the assessment of fruit quality. In this study, an innovative approach based on image analysis was used to assess the external quality of fresh...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s24237560
Thomas S. Huang • CERN Document Server (European Organization for Nuclear Research)
(1996)
In this paper we give a somewhat personal and perhaps biased overview of the field of Computer Vision.First, we define computer vision and give a very brief history of it.Then, we outline some of the reasons why computer vision is a very di...
OPENALEX
Open Access
DOI: https://doi.org/10.5170/cern-1996-008.21
Jürgen Soom, Isabel Boavida, Renan Leite, Maria João Costa et al. • Ecological Informatics
(2025)
The need for efficient approaches to track and assess fish behavior in rivers impacted by hydropeaking is increasing. Nonetheless, employing an automated camera system for underwater monitoring requires that the algorithms function under hi...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.ecoinf.2025.103196
Yuanbin WANG, Yaru GUO, Jia LIU, Xu WANG et al. • Meitan kexue jishu
(2024)
The complex underground environment, filled with a large amount of dust and water vapor, and uneven illumination of artificial light source, leads to problems such as low illumination and loss of detail features in images collected by under...
DOAJ
Open Access (DOAJ)
DOI: 10.12438/cst.2023-1597
Ajesh Kumar, Toni Kuronen, Bilal Naqvi, Salla Annala et al. • Energy Informatics
(2026)
Abstract Energy Citizenship refers to individuals and communities participating, sometimes begrudgingly, in adopting energy solutions, whether sustainable or not. When enacted positively, it advances the green energy transition. There are s...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s42162-026-00691-0
Bernd Jähne, Horst W. Haussecker, Peter Geißler (1999)
Contents of Volume One: Preface. Contributors. B. Jahne, Introduction. Illumination and Image Formation. H. Hausecker, Radiation. H. Hausecker, Interaction of Radiation with Matter. P. Geisler, Geometric and Wave Optics. H. Hausecker, Radio...
OPENALEX
Yixiang Lu, Rui Wang, Qingwei Gao, Dong Sun et al. • Frontiers in Neurorobotics
(2021)
Multi-modal image fusion integrates different images of the same scene collected by different sensors into one image, making the fused image recognizable by the computer and perceived by human vision easily. The traditional tensor decomposi...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fnbot.2021.762252