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Showing 20 of 1,917 academic articles
Anders Heyden, Gunnar Sparr, Mads Nielsen, Peter Johansen • Lund University Publications (Lund University)
(2002)
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Kari Pulli, Anatoly Baksheev, Kirill Kornyakov, Victor Eruhimov • Communications of the ACM
(2012)
Mobile computer-vision technology will soon become as ubiquitous as touch interfaces....
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DOI: https://doi.org/10.1145/2184319.2184337
Sudeep Sarkar, Kim L. Boyer • Series in machine perception and artificial intelligence
(1994)
This book describes the design of a complete, flexible system for perceptual organization in computer vision using graph theoretic techniques, voting methods, and an extension of the Bayesian networks called perceptual inference networks (P...
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DOI: https://doi.org/10.1142/2421
(2013)
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DOI: https://doi.org/10.1109/iccv19984.2013
Azriel Rosenfeld • Proceedings of the IEEE
(1988)
The author provides a general introduction to computer vision. He discusses basic techniques and computer implementations, and also indicates areas in which further research is needed. He focuses on two-dimensional object recognition, i.e. ...
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DOI: https://doi.org/10.1109/5.5961
Di Wu, Da‐Wen Sun • Trends in Food Science & Technology
(2012)
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DOI: https://doi.org/10.1016/j.tifs.2012.08.004
Zeynep Akata, Andreas Geiger, Torsten Sattler • International Journal of Computer Vision
(2021)
This special issue covers a wide range of topics from the area of Computer Vision, Pattern Recognition, and Machine Learning.This breadth of scope is reflected by the papers included in this special issue, which touch topics including geome...
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cc-by
DOI: https://doi.org/10.1007/s11263-021-01522-3
Susan A. Randolph • Workplace Health & Safety
(2017)
With the increased use of electronic devices with visual displays, computer vision syndrome is becoming a major public health issue. Improving the visual status of workers using computers results in greater productivity in the workplace and...
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DOI: https://doi.org/10.1177/2165079917712727
R. Bradski Gary (1998)
As a first step towards a perceptual user interface, a computer vision color tracking algorithm is developed and applied towards tracking human faces. Computer vision algorithms that are intended to form part of a perceptual user interface ...
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Christopher M. Brown • CERN Document Server (European Organization for Nuclear Research)
(1987)
Contents: A. Hanson, E. Riseman, The Visions Image Understanding System. J. Aloimonos, C. Brown, Robust Computation of Intrinsic Images from Multiple Cues. A. Waxman, K. Wohn, Image Flow Theory: A Framework for 3-D Inference From Time-Varyi...
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• Computer Vision Graphics and Image Processing
(1990)
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DOI: https://doi.org/10.1016/0734-189x(90)90171-q
Nikos Paragios A, Olivier D. Faugeras, Yunmei Chen • Springer eBooks
(2005)
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DOI: https://doi.org/10.1007/0-387-28831-7
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens et al. • arXiv (Cornell University)
(2015)
Convolutional networks are at the core of most state-of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yielding substantial gains in various benchmark...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1512.00567
• Lecture notes in computer science
(2012)
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DOI: https://doi.org/10.1007/978-3-642-33709-3
Kamboozia K, Hannani S, Sarraf Shahri N, Barzegar Z et al. • Journal of advances in medical education & professionalism
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.30476/jamp.2026.111362.2415
PMC: PMC13731679
Segal-Feldman Y, Hitczenko K, Goldrick M, Buchwald A et al. • Computer speech & language
(2025)
PMC
PMC Public Access (View-Only)
DOI: 10.1016/j.csl.2024.101715
PMC: PMC13734732
Zeeshan Javed, Gon-Woo Kim • IEEE Access
(2022)
With the recent developments in computer vision, vision-based odometry plays an increasingly important role in the field of autonomous systems. However, using traditional visual odometry or simultaneous localization and mapping (vSLAM) only...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3204870
Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera et al. • IEEE Access
(2020)
Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning (DL) is already present in many applications ranging from computer vision for medicine to autonomous driving of modern cars as well as other sectors in ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.3039858
Felix Wilhelm Siebert, Christoffer Riis, Kira Hyldekær Janstrup, Hanhe Lin et al. • Journal of Cycling and Micromobility Research
(2024)
Bicycle helmets are a main measure for injury prevention in case of a crash and are a central variable in transport safety studies. Despite this, helmet use data is only collected sporadically, as the observation of helmet use in traffic by...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jcmr.2024.100013
Mostafa Aref, Ghada Elshamy, Marco Alfonse, Islam Hegazy • International Journal of Intelligent Computing and Information Sciences
(2024)
Recently the conjunction between vision and language has created many intersecting tasks as visual question-answering systems, image captioning, etc. Specifically, dialog systems that depend on a visual scene play an important role in impro...
DOAJ
Open Access (DOAJ)
DOI: 10.21608/ijicis.2024.295310.1339