Computer vision (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Computer vision" in English language version.

refsWebsite

Global rank English rank

18doi.org

2^nd place

14web.archive.org

1^st place

10worldcat.org

5^th place

10semanticscholar.org

11^th place

8^th place

8nih.gov

4^th place

6harvard.edu

18^th place

17^th place

5books.google.com

3^rd place

5handle.net

102^nd place

76^th place

3arxiv.org

69^th place

59^th place

2ieee.org

652^nd place

515^th place

2qilin-zhang.github.io

low place

1archive.org

6^th place

1cern.ch

1,959^th place

1,611^th place

1bmva.org

low place

1qz.com

1,110^th place

695^th place

1hal.science

low place

1psu.edu

207^th place

136^th place

1jmm-net.com

low place

1robots.com

low place

1springer.com

274^th place

309^th place

1topten.ai

low place

1lirmm.fr

low place

1tomshardware.com

2,976^th place

1,939^th place

archive.org

Dana H. Ballard; Christopher M. Brown (1982). Computer Vision. Prentice Hall. ISBN 978-0-13-165316-0.

arxiv.org

Jiao, Licheng; Zhang, Fan; Liu, Fang; Yang, Shuyuan; Li, Lingling; Feng, Zhixi; Qu, Rong (2019). "A Survey of Deep Learning-Based Object Detection". IEEE Access. 7: 128837–128868. arXiv:1907.09408. Bibcode:2019IEEEA...7l8837J. doi:10.1109/ACCESS.2019.2939201. S2CID 198147317.
Russakovsky, Olga; Deng, Jia; Su, Hao; Krause, Jonathan; Satheesh, Sanjeev; Ma, Sean; Huang, Zhiheng; Karpathy, Andrej; Khosla, Aditya; Bernstein, Michael; Berg, Alexander C. (December 2015). "ImageNet Large Scale Visual Recognition Challenge". International Journal of Computer Vision. 115 (3): 211–252. arXiv:1409.0575. doi:10.1007/s11263-015-0816-y. hdl:1721.1/104944. ISSN 0920-5691. S2CID 2930547. Archived from the original on 2023-03-15. Retrieved 2020-11-20.
A. Maity (2015). "Improvised Salient Object Detection and Manipulation". arXiv:1511.02999 [cs.CV].

bmva.org

http://www.bmva.org/visionoverview Archived 2017-02-16 at the Wayback Machine The British Machine Vision Association and Society for Pattern Recognition Retrieved February 20, 2017

books.google.com

Richard Szeliski (30 September 2010). Computer Vision: Algorithms and Applications. Springer Science & Business Media. pp. 10–16. ISBN 978-1-84882-935-0.
Margaret Ann Boden (2006). Mind as Machine: A History of Cognitive Science. Clarendon Press. p. 781. ISBN 978-0-19-954316-8.
Takeo Kanade (6 December 2012). Three-Dimensional Machine Vision. Springer Science & Business Media. ISBN 978-1-4613-1981-8.
Nicu Sebe; Ira Cohen; Ashutosh Garg; Thomas S. Huang (3 June 2005). Machine Learning in Computer Vision. Springer Science & Business Media. ISBN 978-1-4020-3274-5.
Steger, Carsten; Markus Ulrich; Christian Wiedemann (2018). Machine Vision Algorithms and Applications (2nd ed.). Weinheim: Wiley-VCH. p. 1. ISBN 978-3-527-41365-2. Archived from the original on 2023-03-15. Retrieved 2018-01-30.

cern.ch

cds.cern.ch

Huang, T. (1996-11-19). Vandoni, Carlo E (ed.). Computer Vision : Evolution And Promise (PDF). 19th CERN School of Computing. Geneva: CERN. pp. 21–25. doi:10.5170/CERN-1996-008.21. ISBN 978-9290830955. Archived (PDF) from the original on 2018-02-07.

doi.org

Huang, T. (1996-11-19). Vandoni, Carlo E (ed.). Computer Vision : Evolution And Promise (PDF). 19th CERN School of Computing. Geneva: CERN. pp. 21–25. doi:10.5170/CERN-1996-008.21. ISBN 978-9290830955. Archived (PDF) from the original on 2018-02-07.
William Freeman; Pietro Perona; Bernhard Scholkopf (2008). "Guest Editorial: Machine Learning for Computer Vision". International Journal of Computer Vision. 77 (1): 1. doi:10.1007/s11263-008-0127-7. hdl:21.11116/0000-0003-30FB-C. ISSN 1573-1405.
LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey (2015). "Deep Learning" (PDF). Nature. 521 (7553): 436–444. Bibcode:2015Natur.521..436L. doi:10.1038/nature14539. PMID 26017442. S2CID 3074096.
Jiao, Licheng; Zhang, Fan; Liu, Fang; Yang, Shuyuan; Li, Lingling; Feng, Zhixi; Qu, Rong (2019). "A Survey of Deep Learning-Based Object Detection". IEEE Access. 7: 128837–128868. arXiv:1907.09408. Bibcode:2019IEEEA...7l8837J. doi:10.1109/ACCESS.2019.2939201. S2CID 198147317.
Soltani, A. A.; Huang, H.; Wu, J.; Kulkarni, T. D.; Tenenbaum, J. B. (2017). "Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks". 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 1511–1519. doi:10.1109/CVPR.2017.269. hdl:1721.1/126644. ISBN 978-1-5386-0457-1. S2CID 31373273.
Chervyakov, N. I.; Lyakhov, P. A.; Deryabin, M. A.; Nagornov, N. N.; Valueva, M. V.; Valuev, G. V. (2020). "Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network". Neurocomputing. 407: 439–453. doi:10.1016/j.neucom.2020.04.018. S2CID 219470398. Convolutional neural networks (CNNs) represent deep learning architectures that are currently used in a wide range of applications, including computer vision, speech recognition, identification of albuminous sequences in bioinformatics, production control, time series analysis in finance, and many others.
Wäldchen, Jana; Mäder, Patrick (2017-01-07). "Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review". Archives of Computational Methods in Engineering. 25 (2): 507–543. doi:10.1007/s11831-016-9206-z. ISSN 1134-3060. PMC 6003396. PMID 29962832.
Ando, Mitsuhito; Takei, Toshinobu; Mochiyama, Hiromi (2020-03-03). "Rubber artificial skin layer with flexible structure for shape estimation of micro-undulation surfaces". ROBOMECH Journal. 7 (1): 11. doi:10.1186/s40648-020-00159-0. ISSN 2197-4225.
Choi, Seung-hyun; Tahara, Kenji (2020-03-12). "Dexterous object manipulation by a multi-fingered robotic hand with visual-tactile fingertip sensors". ROBOMECH Journal. 7 (1): 14. doi:10.1186/s40648-020-00162-5. ISSN 2197-4225.
Garg, Hitendra (2020-02-29). "Drowsiness Detection of a Driver using Conventional Computer Vision Application". 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC). pp. 50–53. doi:10.1109/PARC49193.2020.236556. ISBN 978-1-7281-6575-2. S2CID 218564267. Archived from the original on 2022-06-27. Retrieved 2022-11-06.
Hasan, Fudail; Kashevnik, Alexey (2021-05-14). "State-of-the-Art Analysis of Modern Drowsiness Detection Algorithms Based on Computer Vision". 2021 29th Conference of Open Innovations Association (FRUCT). pp. 141–149. doi:10.23919/FRUCT52173.2021.9435480. ISBN 978-952-69244-5-8. S2CID 235207036. Archived from the original on 2022-06-27. Retrieved 2022-11-06.
Balasundaram, A; Ashokkumar, S; Kothandaraman, D; kora, SeenaNaik; Sudarshan, E; Harshaverdhan, A (2020-12-01). "Computer vision based fatigue detection using facial parameters". IOP Conference Series: Materials Science and Engineering. 981 (2): 022005. Bibcode:2020MS&E..981b2005B. doi:10.1088/1757-899x/981/2/022005. ISSN 1757-899X. S2CID 230639179.
Bruijning, Marjolein; Visser, Marco D.; Hallmann, Caspar A.; Jongejans, Eelke; Golding, Nick (2018). "trackdem: Automated particle tracking to obtain population counts and size distributions from videos in r". Methods in Ecology and Evolution. 9 (4): 965–973. Bibcode:2018MEcEv...9..965B. doi:10.1111/2041-210X.12975. hdl:2066/184075. ISSN 2041-210X.
Russakovsky, Olga; Deng, Jia; Su, Hao; Krause, Jonathan; Satheesh, Sanjeev; Ma, Sean; Huang, Zhiheng; Karpathy, Andrej; Khosla, Aditya; Bernstein, Michael; Berg, Alexander C. (December 2015). "ImageNet Large Scale Visual Recognition Challenge". International Journal of Computer Vision. 115 (3): 211–252. arXiv:1409.0575. doi:10.1007/s11263-015-0816-y. hdl:1721.1/104944. ISSN 0920-5691. S2CID 2930547. Archived from the original on 2023-03-15. Retrieved 2020-11-20.
Barrett, Lisa Feldman; Adolphs, Ralph; Marsella, Stacy; Martinez, Aleix M.; Pollak, Seth D. (July 2019). "Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements". Psychological Science in the Public Interest. 20 (1): 1–68. doi:10.1177/1529100619832930. ISSN 1529-1006. PMC 6640856. PMID 31313636.
Liu, Ziyi; Wang, Le; Hua, Gang; Zhang, Qilin; Niu, Zhenxing; Wu, Ying; Zheng, Nanning (2018). "Joint Video Object Discovery and Segmentation by Coupled Dynamic Markov Networks" (PDF). IEEE Transactions on Image Processing. 27 (12): 5840–5853. Bibcode:2018ITIP...27.5840L. doi:10.1109/tip.2018.2859622. ISSN 1057-7149. PMID 30059300. S2CID 51867241. Archived from the original (PDF) on 2018-09-07. Retrieved 2018-09-14.
Wang, Le; Duan, Xuhuan; Zhang, Qilin; Niu, Zhenxing; Hua, Gang; Zheng, Nanning (2018-05-22). "Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation" (PDF). Sensors. 18 (5): 1657. Bibcode:2018Senso..18.1657W. doi:10.3390/s18051657. ISSN 1424-8220. PMC 5982167. PMID 29789447. Archived (PDF) from the original on 2018-09-07.
Kagami, Shingo (2010). "High-speed vision systems and projectors for real-time perception of the world". 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops. Vol. 2010. pp. 100–107. doi:10.1109/CVPRW.2010.5543776. ISBN 978-1-4244-7029-7. S2CID 14111100.

hal.science

LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey (2015). "Deep Learning" (PDF). Nature. 521 (7553): 436–444. Bibcode:2015Natur.521..436L. doi:10.1038/nature14539. PMID 26017442. S2CID 3074096.

handle.net

hdl.handle.net

Papert, Seymour (1966-07-01). "The Summer Vision Project". MIT AI Memos (1959 - 2004). hdl:1721.1/6125.
William Freeman; Pietro Perona; Bernhard Scholkopf (2008). "Guest Editorial: Machine Learning for Computer Vision". International Journal of Computer Vision. 77 (1): 1. doi:10.1007/s11263-008-0127-7. hdl:21.11116/0000-0003-30FB-C. ISSN 1573-1405.
Soltani, A. A.; Huang, H.; Wu, J.; Kulkarni, T. D.; Tenenbaum, J. B. (2017). "Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks". 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 1511–1519. doi:10.1109/CVPR.2017.269. hdl:1721.1/126644. ISBN 978-1-5386-0457-1. S2CID 31373273.
Bruijning, Marjolein; Visser, Marco D.; Hallmann, Caspar A.; Jongejans, Eelke; Golding, Nick (2018). "trackdem: Automated particle tracking to obtain population counts and size distributions from videos in r". Methods in Ecology and Evolution. 9 (4): 965–973. Bibcode:2018MEcEv...9..965B. doi:10.1111/2041-210X.12975. hdl:2066/184075. ISSN 2041-210X.
Russakovsky, Olga; Deng, Jia; Su, Hao; Krause, Jonathan; Satheesh, Sanjeev; Ma, Sean; Huang, Zhiheng; Karpathy, Andrej; Khosla, Aditya; Bernstein, Michael; Berg, Alexander C. (December 2015). "ImageNet Large Scale Visual Recognition Challenge". International Journal of Computer Vision. 115 (3): 211–252. arXiv:1409.0575. doi:10.1007/s11263-015-0816-y. hdl:1721.1/104944. ISSN 0920-5691. S2CID 2930547. Archived from the original on 2023-03-15. Retrieved 2020-11-20.

harvard.edu

ui.adsabs.harvard.edu

LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey (2015). "Deep Learning" (PDF). Nature. 521 (7553): 436–444. Bibcode:2015Natur.521..436L. doi:10.1038/nature14539. PMID 26017442. S2CID 3074096.
Jiao, Licheng; Zhang, Fan; Liu, Fang; Yang, Shuyuan; Li, Lingling; Feng, Zhixi; Qu, Rong (2019). "A Survey of Deep Learning-Based Object Detection". IEEE Access. 7: 128837–128868. arXiv:1907.09408. Bibcode:2019IEEEA...7l8837J. doi:10.1109/ACCESS.2019.2939201. S2CID 198147317.
Balasundaram, A; Ashokkumar, S; Kothandaraman, D; kora, SeenaNaik; Sudarshan, E; Harshaverdhan, A (2020-12-01). "Computer vision based fatigue detection using facial parameters". IOP Conference Series: Materials Science and Engineering. 981 (2): 022005. Bibcode:2020MS&E..981b2005B. doi:10.1088/1757-899x/981/2/022005. ISSN 1757-899X. S2CID 230639179.
Bruijning, Marjolein; Visser, Marco D.; Hallmann, Caspar A.; Jongejans, Eelke; Golding, Nick (2018). "trackdem: Automated particle tracking to obtain population counts and size distributions from videos in r". Methods in Ecology and Evolution. 9 (4): 965–973. Bibcode:2018MEcEv...9..965B. doi:10.1111/2041-210X.12975. hdl:2066/184075. ISSN 2041-210X.
Liu, Ziyi; Wang, Le; Hua, Gang; Zhang, Qilin; Niu, Zhenxing; Wu, Ying; Zheng, Nanning (2018). "Joint Video Object Discovery and Segmentation by Coupled Dynamic Markov Networks" (PDF). IEEE Transactions on Image Processing. 27 (12): 5840–5853. Bibcode:2018ITIP...27.5840L. doi:10.1109/tip.2018.2859622. ISSN 1057-7149. PMID 30059300. S2CID 51867241. Archived from the original (PDF) on 2018-09-07. Retrieved 2018-09-14.
Wang, Le; Duan, Xuhuan; Zhang, Qilin; Niu, Zhenxing; Hua, Gang; Zheng, Nanning (2018-05-22). "Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation" (PDF). Sensors. 18 (5): 1657. Bibcode:2018Senso..18.1657W. doi:10.3390/s18051657. ISSN 1424-8220. PMC 5982167. PMID 29789447. Archived (PDF) from the original on 2018-09-07.

ieee.org

ieeexplore.ieee.org

Garg, Hitendra (2020-02-29). "Drowsiness Detection of a Driver using Conventional Computer Vision Application". 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC). pp. 50–53. doi:10.1109/PARC49193.2020.236556. ISBN 978-1-7281-6575-2. S2CID 218564267. Archived from the original on 2022-06-27. Retrieved 2022-11-06.
Hasan, Fudail; Kashevnik, Alexey (2021-05-14). "State-of-the-Art Analysis of Modern Drowsiness Detection Algorithms Based on Computer Vision". 2021 29th Conference of Open Innovations Association (FRUCT). pp. 141–149. doi:10.23919/FRUCT52173.2021.9435480. ISBN 978-952-69244-5-8. S2CID 235207036. Archived from the original on 2022-06-27. Retrieved 2022-11-06.

jmm-net.com

Andrade, Norberto Almeida. "Computational Vision and Business Intelligence in the Beauty Segment - An Analysis through Instagram" (PDF). Journal of Marketing Management. American Research Institute for Policy Development. Retrieved 11 March 2024.

lirmm.fr

Barghout, Lauren. "Visual Taxometric Approach to Image Segmentation Using Fuzzy-Spatial Taxon Cut Yields Contextually Relevant Regions Archived 2018-11-14 at the Wayback Machine." Information Processing and Management of Uncertainty in Knowledge-Based Systems. Springer International Publishing, 2014.

nih.gov

pubmed.ncbi.nlm.nih.gov

LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey (2015). "Deep Learning" (PDF). Nature. 521 (7553): 436–444. Bibcode:2015Natur.521..436L. doi:10.1038/nature14539. PMID 26017442. S2CID 3074096.
Wäldchen, Jana; Mäder, Patrick (2017-01-07). "Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review". Archives of Computational Methods in Engineering. 25 (2): 507–543. doi:10.1007/s11831-016-9206-z. ISSN 1134-3060. PMC 6003396. PMID 29962832.
Barrett, Lisa Feldman; Adolphs, Ralph; Marsella, Stacy; Martinez, Aleix M.; Pollak, Seth D. (July 2019). "Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements". Psychological Science in the Public Interest. 20 (1): 1–68. doi:10.1177/1529100619832930. ISSN 1529-1006. PMC 6640856. PMID 31313636.
Liu, Ziyi; Wang, Le; Hua, Gang; Zhang, Qilin; Niu, Zhenxing; Wu, Ying; Zheng, Nanning (2018). "Joint Video Object Discovery and Segmentation by Coupled Dynamic Markov Networks" (PDF). IEEE Transactions on Image Processing. 27 (12): 5840–5853. Bibcode:2018ITIP...27.5840L. doi:10.1109/tip.2018.2859622. ISSN 1057-7149. PMID 30059300. S2CID 51867241. Archived from the original (PDF) on 2018-09-07. Retrieved 2018-09-14.
Wang, Le; Duan, Xuhuan; Zhang, Qilin; Niu, Zhenxing; Hua, Gang; Zheng, Nanning (2018-05-22). "Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation" (PDF). Sensors. 18 (5): 1657. Bibcode:2018Senso..18.1657W. doi:10.3390/s18051657. ISSN 1424-8220. PMC 5982167. PMID 29789447. Archived (PDF) from the original on 2018-09-07.

ncbi.nlm.nih.gov

Wäldchen, Jana; Mäder, Patrick (2017-01-07). "Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review". Archives of Computational Methods in Engineering. 25 (2): 507–543. doi:10.1007/s11831-016-9206-z. ISSN 1134-3060. PMC 6003396. PMID 29962832.
Barrett, Lisa Feldman; Adolphs, Ralph; Marsella, Stacy; Martinez, Aleix M.; Pollak, Seth D. (July 2019). "Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements". Psychological Science in the Public Interest. 20 (1): 1–68. doi:10.1177/1529100619832930. ISSN 1529-1006. PMC 6640856. PMID 31313636.
Wang, Le; Duan, Xuhuan; Zhang, Qilin; Niu, Zhenxing; Hua, Gang; Zheng, Nanning (2018-05-22). "Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation" (PDF). Sensors. 18 (5): 1657. Bibcode:2018Senso..18.1657W. doi:10.3390/s18051657. ISSN 1424-8220. PMC 5982167. PMID 29789447. Archived (PDF) from the original on 2018-09-07.

psu.edu

citeseerx.ist.psu.edu

Murray, Don, and Cullen Jennings. "Stereo vision-based mapping and navigation for mobile robots Archived 2020-10-31 at the Wayback Machine." Proceedings of International Conference on Robotics and Automation. Vol. 2. IEEE, 1997.

qilin-zhang.github.io

Liu, Ziyi; Wang, Le; Hua, Gang; Zhang, Qilin; Niu, Zhenxing; Wu, Ying; Zheng, Nanning (2018). "Joint Video Object Discovery and Segmentation by Coupled Dynamic Markov Networks" (PDF). IEEE Transactions on Image Processing. 27 (12): 5840–5853. Bibcode:2018ITIP...27.5840L. doi:10.1109/tip.2018.2859622. ISSN 1057-7149. PMID 30059300. S2CID 51867241. Archived from the original (PDF) on 2018-09-07. Retrieved 2018-09-14.
Wang, Le; Duan, Xuhuan; Zhang, Qilin; Niu, Zhenxing; Hua, Gang; Zheng, Nanning (2018-05-22). "Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation" (PDF). Sensors. 18 (5): 1657. Bibcode:2018Senso..18.1657W. doi:10.3390/s18051657. ISSN 1424-8220. PMC 5982167. PMID 29789447. Archived (PDF) from the original on 2018-09-07.

qz.com

Murphy, Mike (13 April 2017). "Star Trek's "tricorder" medical scanner just got closer to becoming a reality". Archived from the original on 2 July 2017. Retrieved 18 July 2017.

robots.com

"The Future of Automated Random Bin Picking". Archived from the original on 2018-01-11. Retrieved 2018-01-10.

semanticscholar.org

api.semanticscholar.org

LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey (2015). "Deep Learning" (PDF). Nature. 521 (7553): 436–444. Bibcode:2015Natur.521..436L. doi:10.1038/nature14539. PMID 26017442. S2CID 3074096.
Jiao, Licheng; Zhang, Fan; Liu, Fang; Yang, Shuyuan; Li, Lingling; Feng, Zhixi; Qu, Rong (2019). "A Survey of Deep Learning-Based Object Detection". IEEE Access. 7: 128837–128868. arXiv:1907.09408. Bibcode:2019IEEEA...7l8837J. doi:10.1109/ACCESS.2019.2939201. S2CID 198147317.
Soltani, A. A.; Huang, H.; Wu, J.; Kulkarni, T. D.; Tenenbaum, J. B. (2017). "Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks". 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 1511–1519. doi:10.1109/CVPR.2017.269. hdl:1721.1/126644. ISBN 978-1-5386-0457-1. S2CID 31373273.
Chervyakov, N. I.; Lyakhov, P. A.; Deryabin, M. A.; Nagornov, N. N.; Valueva, M. V.; Valuev, G. V. (2020). "Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network". Neurocomputing. 407: 439–453. doi:10.1016/j.neucom.2020.04.018. S2CID 219470398. Convolutional neural networks (CNNs) represent deep learning architectures that are currently used in a wide range of applications, including computer vision, speech recognition, identification of albuminous sequences in bioinformatics, production control, time series analysis in finance, and many others.
Garg, Hitendra (2020-02-29). "Drowsiness Detection of a Driver using Conventional Computer Vision Application". 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC). pp. 50–53. doi:10.1109/PARC49193.2020.236556. ISBN 978-1-7281-6575-2. S2CID 218564267. Archived from the original on 2022-06-27. Retrieved 2022-11-06.
Hasan, Fudail; Kashevnik, Alexey (2021-05-14). "State-of-the-Art Analysis of Modern Drowsiness Detection Algorithms Based on Computer Vision". 2021 29th Conference of Open Innovations Association (FRUCT). pp. 141–149. doi:10.23919/FRUCT52173.2021.9435480. ISBN 978-952-69244-5-8. S2CID 235207036. Archived from the original on 2022-06-27. Retrieved 2022-11-06.
Balasundaram, A; Ashokkumar, S; Kothandaraman, D; kora, SeenaNaik; Sudarshan, E; Harshaverdhan, A (2020-12-01). "Computer vision based fatigue detection using facial parameters". IOP Conference Series: Materials Science and Engineering. 981 (2): 022005. Bibcode:2020MS&E..981b2005B. doi:10.1088/1757-899x/981/2/022005. ISSN 1757-899X. S2CID 230639179.
Russakovsky, Olga; Deng, Jia; Su, Hao; Krause, Jonathan; Satheesh, Sanjeev; Ma, Sean; Huang, Zhiheng; Karpathy, Andrej; Khosla, Aditya; Bernstein, Michael; Berg, Alexander C. (December 2015). "ImageNet Large Scale Visual Recognition Challenge". International Journal of Computer Vision. 115 (3): 211–252. arXiv:1409.0575. doi:10.1007/s11263-015-0816-y. hdl:1721.1/104944. ISSN 0920-5691. S2CID 2930547. Archived from the original on 2023-03-15. Retrieved 2020-11-20.
Liu, Ziyi; Wang, Le; Hua, Gang; Zhang, Qilin; Niu, Zhenxing; Wu, Ying; Zheng, Nanning (2018). "Joint Video Object Discovery and Segmentation by Coupled Dynamic Markov Networks" (PDF). IEEE Transactions on Image Processing. 27 (12): 5840–5853. Bibcode:2018ITIP...27.5840L. doi:10.1109/tip.2018.2859622. ISSN 1057-7149. PMID 30059300. S2CID 51867241. Archived from the original (PDF) on 2018-09-07. Retrieved 2018-09-14.
Kagami, Shingo (2010). "High-speed vision systems and projectors for real-time perception of the world". 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops. Vol. 2010. pp. 100–107. doi:10.1109/CVPRW.2010.5543776. ISBN 978-1-4244-7029-7. S2CID 14111100.

springer.com

link.springer.com

Russakovsky, Olga; Deng, Jia; Su, Hao; Krause, Jonathan; Satheesh, Sanjeev; Ma, Sean; Huang, Zhiheng; Karpathy, Andrej; Khosla, Aditya; Bernstein, Michael; Berg, Alexander C. (December 2015). "ImageNet Large Scale Visual Recognition Challenge". International Journal of Computer Vision. 115 (3): 211–252. arXiv:1409.0575. doi:10.1007/s11263-015-0816-y. hdl:1721.1/104944. ISSN 0920-5691. S2CID 2930547. Archived from the original on 2023-03-15. Retrieved 2020-11-20.

tomshardware.com

Seth Colaner (January 3, 2016). "A Third Type Of Processor For VR/AR: Movidius' Myriad 2 VPU". www.tomshardware.com. Archived from the original on March 15, 2023. Retrieved May 3, 2016.

topten.ai

Quinn, Arthur (2022-10-09). "AI Image Recognition: Inevitable Trending of Modern Lifestyle". TopTen.ai. Archived from the original on 2022-12-02. Retrieved 2022-12-23.

web.archive.org

Huang, T. (1996-11-19). Vandoni, Carlo E (ed.). Computer Vision : Evolution And Promise (PDF). 19th CERN School of Computing. Geneva: CERN. pp. 21–25. doi:10.5170/CERN-1996-008.21. ISBN 978-9290830955. Archived (PDF) from the original on 2018-02-07.
http://www.bmva.org/visionoverview Archived 2017-02-16 at the Wayback Machine The British Machine Vision Association and Society for Pattern Recognition Retrieved February 20, 2017
Murphy, Mike (13 April 2017). "Star Trek's "tricorder" medical scanner just got closer to becoming a reality". Archived from the original on 2 July 2017. Retrieved 18 July 2017.
Steger, Carsten; Markus Ulrich; Christian Wiedemann (2018). Machine Vision Algorithms and Applications (2nd ed.). Weinheim: Wiley-VCH. p. 1. ISBN 978-3-527-41365-2. Archived from the original on 2023-03-15. Retrieved 2018-01-30.
Murray, Don, and Cullen Jennings. "Stereo vision-based mapping and navigation for mobile robots Archived 2020-10-31 at the Wayback Machine." Proceedings of International Conference on Robotics and Automation. Vol. 2. IEEE, 1997.
"The Future of Automated Random Bin Picking". Archived from the original on 2018-01-11. Retrieved 2018-01-10.
Garg, Hitendra (2020-02-29). "Drowsiness Detection of a Driver using Conventional Computer Vision Application". 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC). pp. 50–53. doi:10.1109/PARC49193.2020.236556. ISBN 978-1-7281-6575-2. S2CID 218564267. Archived from the original on 2022-06-27. Retrieved 2022-11-06.
Hasan, Fudail; Kashevnik, Alexey (2021-05-14). "State-of-the-Art Analysis of Modern Drowsiness Detection Algorithms Based on Computer Vision". 2021 29th Conference of Open Innovations Association (FRUCT). pp. 141–149. doi:10.23919/FRUCT52173.2021.9435480. ISBN 978-952-69244-5-8. S2CID 235207036. Archived from the original on 2022-06-27. Retrieved 2022-11-06.
Russakovsky, Olga; Deng, Jia; Su, Hao; Krause, Jonathan; Satheesh, Sanjeev; Ma, Sean; Huang, Zhiheng; Karpathy, Andrej; Khosla, Aditya; Bernstein, Michael; Berg, Alexander C. (December 2015). "ImageNet Large Scale Visual Recognition Challenge". International Journal of Computer Vision. 115 (3): 211–252. arXiv:1409.0575. doi:10.1007/s11263-015-0816-y. hdl:1721.1/104944. ISSN 0920-5691. S2CID 2930547. Archived from the original on 2023-03-15. Retrieved 2020-11-20.
Quinn, Arthur (2022-10-09). "AI Image Recognition: Inevitable Trending of Modern Lifestyle". TopTen.ai. Archived from the original on 2022-12-02. Retrieved 2022-12-23.
Barghout, Lauren. "Visual Taxometric Approach to Image Segmentation Using Fuzzy-Spatial Taxon Cut Yields Contextually Relevant Regions Archived 2018-11-14 at the Wayback Machine." Information Processing and Management of Uncertainty in Knowledge-Based Systems. Springer International Publishing, 2014.
Liu, Ziyi; Wang, Le; Hua, Gang; Zhang, Qilin; Niu, Zhenxing; Wu, Ying; Zheng, Nanning (2018). "Joint Video Object Discovery and Segmentation by Coupled Dynamic Markov Networks" (PDF). IEEE Transactions on Image Processing. 27 (12): 5840–5853. Bibcode:2018ITIP...27.5840L. doi:10.1109/tip.2018.2859622. ISSN 1057-7149. PMID 30059300. S2CID 51867241. Archived from the original (PDF) on 2018-09-07. Retrieved 2018-09-14.
Wang, Le; Duan, Xuhuan; Zhang, Qilin; Niu, Zhenxing; Hua, Gang; Zheng, Nanning (2018-05-22). "Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation" (PDF). Sensors. 18 (5): 1657. Bibcode:2018Senso..18.1657W. doi:10.3390/s18051657. ISSN 1424-8220. PMC 5982167. PMID 29789447. Archived (PDF) from the original on 2018-09-07.
Seth Colaner (January 3, 2016). "A Third Type Of Processor For VR/AR: Movidius' Myriad 2 VPU". www.tomshardware.com. Archived from the original on March 15, 2023. Retrieved May 3, 2016.

worldcat.org

William Freeman; Pietro Perona; Bernhard Scholkopf (2008). "Guest Editorial: Machine Learning for Computer Vision". International Journal of Computer Vision. 77 (1): 1. doi:10.1007/s11263-008-0127-7. hdl:21.11116/0000-0003-30FB-C. ISSN 1573-1405.
Wäldchen, Jana; Mäder, Patrick (2017-01-07). "Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review". Archives of Computational Methods in Engineering. 25 (2): 507–543. doi:10.1007/s11831-016-9206-z. ISSN 1134-3060. PMC 6003396. PMID 29962832.
Ando, Mitsuhito; Takei, Toshinobu; Mochiyama, Hiromi (2020-03-03). "Rubber artificial skin layer with flexible structure for shape estimation of micro-undulation surfaces". ROBOMECH Journal. 7 (1): 11. doi:10.1186/s40648-020-00159-0. ISSN 2197-4225.
Choi, Seung-hyun; Tahara, Kenji (2020-03-12). "Dexterous object manipulation by a multi-fingered robotic hand with visual-tactile fingertip sensors". ROBOMECH Journal. 7 (1): 14. doi:10.1186/s40648-020-00162-5. ISSN 2197-4225.
Balasundaram, A; Ashokkumar, S; Kothandaraman, D; kora, SeenaNaik; Sudarshan, E; Harshaverdhan, A (2020-12-01). "Computer vision based fatigue detection using facial parameters". IOP Conference Series: Materials Science and Engineering. 981 (2): 022005. Bibcode:2020MS&E..981b2005B. doi:10.1088/1757-899x/981/2/022005. ISSN 1757-899X. S2CID 230639179.
Bruijning, Marjolein; Visser, Marco D.; Hallmann, Caspar A.; Jongejans, Eelke; Golding, Nick (2018). "trackdem: Automated particle tracking to obtain population counts and size distributions from videos in r". Methods in Ecology and Evolution. 9 (4): 965–973. Bibcode:2018MEcEv...9..965B. doi:10.1111/2041-210X.12975. hdl:2066/184075. ISSN 2041-210X.
Russakovsky, Olga; Deng, Jia; Su, Hao; Krause, Jonathan; Satheesh, Sanjeev; Ma, Sean; Huang, Zhiheng; Karpathy, Andrej; Khosla, Aditya; Bernstein, Michael; Berg, Alexander C. (December 2015). "ImageNet Large Scale Visual Recognition Challenge". International Journal of Computer Vision. 115 (3): 211–252. arXiv:1409.0575. doi:10.1007/s11263-015-0816-y. hdl:1721.1/104944. ISSN 0920-5691. S2CID 2930547. Archived from the original on 2023-03-15. Retrieved 2020-11-20.
Barrett, Lisa Feldman; Adolphs, Ralph; Marsella, Stacy; Martinez, Aleix M.; Pollak, Seth D. (July 2019). "Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements". Psychological Science in the Public Interest. 20 (1): 1–68. doi:10.1177/1529100619832930. ISSN 1529-1006. PMC 6640856. PMID 31313636.
Liu, Ziyi; Wang, Le; Hua, Gang; Zhang, Qilin; Niu, Zhenxing; Wu, Ying; Zheng, Nanning (2018). "Joint Video Object Discovery and Segmentation by Coupled Dynamic Markov Networks" (PDF). IEEE Transactions on Image Processing. 27 (12): 5840–5853. Bibcode:2018ITIP...27.5840L. doi:10.1109/tip.2018.2859622. ISSN 1057-7149. PMID 30059300. S2CID 51867241. Archived from the original (PDF) on 2018-09-07. Retrieved 2018-09-14.
Wang, Le; Duan, Xuhuan; Zhang, Qilin; Niu, Zhenxing; Hua, Gang; Zheng, Nanning (2018-05-22). "Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation" (PDF). Sensors. 18 (5): 1657. Bibcode:2018Senso..18.1657W. doi:10.3390/s18051657. ISSN 1424-8220. PMC 5982167. PMID 29789447. Archived (PDF) from the original on 2018-09-07.