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Academic Articles & Research Papers
Showing 20 of 1,917 academic articles
V. Longhi, A. Martino, A. M. Lingua, P. F. Maschio et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2024)
Globalisation has contributed to rapid economic growth but has also exposed vulnerabilities such as the spread of pests in agriculture. An example is the Popillia Japonica Newman beetle, introduced to Italy in 2014, which has caused signifi...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLVIII-1-2024-443-2024
Francisco Troncoso-Pastoriza, Javier López-Gómez, Lara Febrero-Garrido • Sensors
(2018)
This paper introduces a comprehensive approach based on computer vision for the automatic detection, identification and pose estimation of lamps in a building using the image and location data from low-cost sensors, allowing the incorporati...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s18072364
Xia Zhang, Danning Xu, Ni Zhang • Applied Sciences
(2022)
With the rapid rise of social media, the photo-taking behavior of tourists and their uploaded photos provide a new perspective to explore landscape visual characters. In this study, we provide methodological advancements for assessing lands...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app12168346
Congcong Zhang, Jin Tian, Lihua Gong, Yujin Zhang et al. • Applied Sciences
(2026)
Video prediction is a fundamental task in computer vision with broad applications in intelligent robotics, autonomous driving, and related fields. However, existing methods often struggle to simultaneously model long-term temporal dependenc...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16094423
Nicu Sebe, Michael S. Lew • Computational imaging and vision
(2003)
OPENALEX
DOI: https://doi.org/10.1007/978-94-017-0295-9
• Signal Processing
(1984)
OPENALEX
DOI: https://doi.org/10.1016/0165-1684(84)90009-4
Edward Pervin, Jon A. Webb • Defense Technical Information Center (DTIC)
(1982)
Computer vision and robotics suffer from not having good tools for manipulating three-dimensional objects. Vectors, coordinate geometry, and trigonometry all have deficiencies. Quaternions can be used to solve many of these problems. Many p...
OPENALEX
DOI: https://doi.org/10.21236/ada125076
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...
OPENALEX
DOI: https://doi.org/10.1007/1-4020-2081-3_4
S. Z. Li • Computer science workbench
(1995)
OPENALEX
DOI: https://doi.org/10.1007/978-4-431-66933-3
R.A. Jarvis • IEEE Transactions on Pattern Analysis and Machine Intelligence
(1983)
In recent times a great deal of interest has been shown, amongst the computer vision and robotics research community, in the acquisition of range data for supporting scene analysis leading to remote (noncontact) determination of configurati...
OPENALEX
DOI: https://doi.org/10.1109/tpami.1983.4767365
• Cambridge University Press eBooks
(1998)
Advances in the field of computer vision are leading to radical changes in the way we interact with computers. At the time of this book's publication in 1998, it would soon be possible to enable a computer linked to a video camera to detect...
OPENALEX
DOI: https://doi.org/10.1017/cbo9780511569937
Peter Franz Sturm, Triggs, William • Lecture notes in computer science
(1996)
OPENALEX
Open Access
DOI: https://doi.org/10.1007/3-540-61123-1
Nikhil Naik, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser et al. • Proceedings of the National Academy of Sciences
(2017)
Which neighborhoods experience physical improvements? In this paper, we introduce a computer vision method to measure changes in the physical appearances of neighborhoods from time-series street-level imagery. We connect changes in the phys...
OPENALEX
Open Access
DOI: https://doi.org/10.1073/pnas.1619003114
PMC: 5530649
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
Ganin, Yaroslav, Evgeniya Ustinova, Hana Ajakan, Pascal Germain et al. • Advances in computer vision and pattern recognition
(2017)
OPENALEX
DOI: https://doi.org/10.1007/978-3-319-58347-1
Mark J. Burge, Wilhelm Burger • Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
(2002)
A class of biometrics based upon ear features is introduced for use in the development of passive identification systems. The viability of the proposed biometric is shown both theoretically in terms of the uniqueness and measurability over ...
OPENALEX
DOI: https://doi.org/10.1109/icpr.2000.906202
M. Hassaballah, Khalid Mohamed Hosny • Studies in computational intelligence
(2018)
OPENALEX
DOI: https://doi.org/10.1007/978-3-030-03000-1
Sowjanya Gowrisankaran, James E. Sheedy • Work
(2015)
BACKGROUND: Computer vision syndrome (CVS) is a collection of symptoms related to prolonged work at a computer display. OBJECTIVE: This article reviews the current knowledge about the symptoms, related factors and treatment modalities for C...
OPENALEX
DOI: https://doi.org/10.3233/wor-152162
• International Journal of Computer Vision
(2013)
OPENALEX
DOI: https://doi.org/10.1007/11263.1573-1405
Khaled Abud, Sergey Lavrushkin, Dmitry Vatolin • Big Data and Cognitive Computing
(2025)
Neural-network-based models have made considerable progress in many computer vision areas over recent years. However, many works have exposed their vulnerability to malicious input data manipulation—that is, to adversarial attacks. Although...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bdcc9070166