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Leonardis, Ales, Pinz, Axel, Horst Bischof, ECCV 2006 • Lecture notes in computer science
(2006)
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DOI: https://doi.org/10.1007/11744023
Chuan‐Zhi Dong, F. Necati Çatbaş • Structural Health Monitoring
(2020)
Structural health monitoring at local and global levels using computer vision technologies has gained much attention in the structural health monitoring community in research and practice. Due to the computer vision technology application a...
OPENALEX
DOI: https://doi.org/10.1177/1475921720935585
Lutz Priese • eXamen.press
(2015)
OPENALEX
DOI: https://doi.org/10.1007/978-3-662-45129-8
Michael H. Brill • Color Research & Application
(1992)
OPENALEX
DOI: https://doi.org/10.1002/col.5080170616
K. Dawson‐Howe (2014)
Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries Computer Vision is a rapidly expanding area and it is becoming progressively eas...
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Behrooz Kamgar-Parsi, Behzad Kamgar-Parsi • IEEE Transactions on Pattern Analysis and Machine Intelligence
(1989)
Due to the important role that digitization error plays in the field of computer vision, a careful analysis of its impact on the computational approaches used in the field is necessary. The authors develop the mathematical tools for the com...
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DOI: https://doi.org/10.1109/34.35496
Leonid Karlinsky, Tomer Michaeli, Ko Nishino • Lecture notes in computer science
(2023)
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DOI: https://doi.org/10.1007/978-3-031-25066-8
Daniel Lélis Baggio • CERN Document Server (European Organization for Nuclear Research)
(2012)
Each chapter in the book is an individual project and each project is constructed with step-by-step instructions, clearly explained code, and includes the necessary screenshots. You should have basic OpenCV and C/C++ programming experience ...
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Michael Isard • IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
(2003)
Probabilistic models have been adopted for many computer vision applications, however inference in high-dimensional spaces remains problematic. As the state-space of a model grows, the dependencies between the dimensions lead to an exponent...
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DOI: https://doi.org/10.1109/cvpr.2003.1211410
J. R. Parker (1996)
A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in ...
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Simon J. D. Prince (2012)
A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms....
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A Gruen and T S Huang • Measurement Science and Technology
(2002)
One of my greatest hates is the edited book with chapters from a number of different authors, some of which have evidently been written in haste against the final deadline, and most of which show marked divergence of content, opinion, notat...
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DOI: https://doi.org/10.1088/0957-0233/13/2/707
Junfeng Gao, Yong Yang, Pan Lin, Dong Sun Park • Journal of Healthcare Engineering
(2018)
The research of computer vision, imaging processing and pattern recognition has made substantial progress during the past several decades.Also, medical imaging has attracted increasing attention in recent years due to its vital component in...
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DOI: https://doi.org/10.1155/2018/5157020
PMC: 5857319
• Lecture notes in computer science
(2018)
OPENALEX
DOI: https://doi.org/10.1007/978-3-030-03398-9
Lee KH, Denovellis EL, Ly R, Magland J et al. • eLife
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.7554/eLife.108089
PMC: PMC13730526
Zhu G, Li H, Cui H, Ren Z et al. • PloS one
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1371/journal.pone.0359398
PMC: PMC13730324
Dutta R, Kellam M, Liang D • PloS one
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1371/journal.pone.0347230
PMC: PMC13730325
Comtois KA, Smythe P, Kerbrat A, Kim EH et al. • Journal of medical Internet research
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.2196/83637
PMC: PMC13730293
Yue X, Gu Y, Yu B • JMIR rehabilitation and assistive technologies
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.2196/102399
PMC: PMC13730411
Chepkorir M, Orowe I, Abade E, Kamanu T • JMIR rehabilitation and assistive technologies
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.2196/100939
PMC: PMC13730513