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Academic Articles & Research Papers
Showing 20 of 547 academic articles
Joseph L. Mundy, Andrew Zisserman • The MIT Press eBooks
(1992)
Part 1 Foundations: algebraic invariants - invariant theory and enumerative combinatorics of young tableaux, Shreeram S. Abhyankar, geometric interpretation of joint conic invariants, Joseph L. Mundy, et al, an experimental evaluation of pr...
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S Yulina • Jurnal Komputer Terapan
(2021)
Aplikasi pendeteksi wajah pada citra digital sangat diperlukan dalam proses pengenalan wajah seseorang. Aplikasi ini banyak dimanfaatkan pada berbagai disiplin ilmu, salah satunya ilmu komputer visi(computer vision) seperti sistem pengenala...
DOAJ
Open Access (DOAJ)
DOI: 10.35143/jkt.v7i1.3411
Zongji Wang, Yunfei Liu, Feng Lu • Computational Visual Media
(2023)
Abstract Intrinsic image decomposition is an important and long-standing computer vision problem. Given an input image, recovering the physical scene properties is ill-posed. Several physically motivated priors have been used to restrict th...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s41095-022-0294-4
Sudhakaran Pradeep, Koushik V.S.K., Charan N., M. Preetha • E3S Web of Conferences
(2024)
The aim of computer vision techniquesand deep learning in the era of digitalization is to derive valuable insights from them and generate novel understanding. This makes it possible to employ imaging to quickly diagnose and treat a variety ...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/e3sconf/202449103003
C. Chen, J. Li, J. Li, Z. Shuai et al. • Mechanical Sciences
(2025)
Pedestrian detection is one of the most widely applied tasks in industrial computer vision. It encapsulates three core challenges of object detection: detecting small objects, handling heavy occlusion, and balancing speed and accuracy for d...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/ms-16-877-2025
Nwankwo B, Mumueh KP, Olorukooba AA, Usman NO • Kanem Journal of Medical Sciences
(2021)
Background: Computers and other visual display devices have become essential in the present
era and have led to a rise in computer-related health problems. Using computers in homes,
universities and other institutions has increased output g...
DOAJ
Open Access (DOAJ)
DOI: 10.36020/kjms.2021.1501.003
Hairui Zhu, Shanhong Guo, Weixing Sheng, Lei Xiao • Remote Sensing
(2023)
Ship classification technology using synthetic aperture radar (SAR) has become a research hotspot. Many deep-learning-based methods have been proposed with handcrafted models or using transplanted computer vision networks. However, most of ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs15112904
S. Zlatanova, G. Sithole, M. Nakagawa, Q. Zhu • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2013)
Research in support of indoor mapping and modelling (IMM) has been active for over thirty years. This research has come in the
form of As-Built surveys, Data structuring, Visualisation techniques, Navigation models and so forth. Much of thi...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprsarchives-XL-4-W4-63-2013
Yogesh Patel, Sudeep Tanwar, Pronaya Bhattacharya, Rajesh Gupta et al. • IEEE Access
(2023)
Recent advancements in computer vision processing need potent tools to create realistic deepfakes. A generative adversarial network (GAN) can fake the captured media streams, such as images, audio, and video, and make them visually fit othe...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3251417
Xiaolong Ma, Peishun Liu, Haojie Gao, Zikang Yan et al. • IEEE Access
(2025)
In the fields of natural language processing and computer vision, the emergence of large pre-trained models has led to the adoption of fine-tuning them for downstream tasks as an important paradigm. However, the full fine-tuning approach of...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3529807
Anwaar Ulhaq, Jannis Born, Asim Ali Khan, Douglas Pinto Sampaio Gomes et al. • IEEE Access
(2020)
The COVID-19 pandemic has triggered an urgent call to contribute to the fight against an immense threat to the human population. Computer Vision, as a subfield of artificial intelligence, has enjoyed recent success in solving various comple...
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DOI: https://doi.org/10.1109/access.2020.3027685
PMC: 8545281
Scott E. Umbaugh • Prentice Hall PTR eBooks
(1997)
From the Publisher:
True computer imaging for engineers!
Digital signal processing has long been the domain of electrical engineers, while the manipulation of image data has been handled by computer scientists. The convergence of these...
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Emanuele Trucco, Alessandro Verri • CINECA IRIS Institutial Research Information System (University of Genoa)
(1998)
From the Publisher:
FEATURES:
Provides a guide to well-tested theory and algorithms including solutions of problems encountered in modern computer vision.
Contains many practical hints highlighted in the book.
Develops two parallel ...
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Arshi Parvaiz, Muhammad Anwaar Khalid, Rukhsana Zafar, Huma Ameer et al. • Engineering Applications of Artificial Intelligence
(2023)
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Open Access
DOI: https://doi.org/10.1016/j.engappai.2023.106126
Dima Damen, David Hogg (2009)
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Open Access
克史 池内 • Springer eBooks
(2014)
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Longfei Zhou, Zhang Li, Nicholas Konz • IEEE Transactions on Systems Man and Cybernetics Systems
(2022)
Computer vision techniques have played an important role in promoting the informatization, digitization and intelligence of industrial manufacturing systems. Considering the rapid development of computer vision techniques, we present a comp...
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Open Access
DOI: https://doi.org/10.1109/tsmc.2022.3166397
Kemal Gökhan Nalbant, Şevval UYANIK • DergiPark (Istanbul University)
(2021)
Metaverse is a rapidly developing new technology today. The purpose of this article is to examine this technology from a computer vision and general perspective. In this study, a comprehensive review of Metaverse concepts in computer vision...
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Vittorio Ferrari, Bob Fisher, Cordelia Schmid, Emanuele Trucco • Lecture notes in computer science
(2020)
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DOI: https://doi.org/10.1007/978-3-030-58548-8
Peter Meer, B. Tordoff, P. H. S. Torr, C. Davidson et al. (2004)
ysis 1995, pages 191--208. AddisonWesley Longman, 1996. [116] R. H. Zamar. Robust estimation in the errors-in-variables model. Biometrika, 76:149-- 160, 1989. [117] Z. Zhang. Determining the epipolar geometry and its uncertainty: A review. ...
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