Optical flow (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Optical flow" in English language version.

refsWebsite

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18doi.org

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9arxiv.org

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7worldcat.org

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3books.google.com

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3handle.net

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76^th place

3semanticscholar.org

11^th place

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3springer.com

274^th place

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2sciencedirect.com

149^th place

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2harvard.edu

18^th place

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2ieee.org

652^nd place

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2acm.org

1,185^th place

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1web.archive.org

1^st place

1diku.dk

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1nih.gov

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1ufrn.br

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1elsevier.com

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1robotacademy.net.au

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1cambridge.org

305^th place

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1archive.org

6^th place

acm.org (Global: 1,185^th place; English: 840^th place)

portal.acm.org

Beauchemin, S. S.; Barron, J. L. (1995). "The computation of optical flow". ACM Computing Surveys. 27 (3). ACM New York, USA: 433–466. doi:10.1145/212094.212141. S2CID 1334552.

dl.acm.org

Lucas, Bruce D.; Kanade, Takeo (1981-08-24). An iterative image registration technique with an application to stereo vision. Proceedings of the 7th International Joint Conference on Artificial Intelligence - Volume 2. IJCAI'81. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc. pp. 674–679.

archive.org (Global: 6^th place; English: 6^th place)

Mead, Carver (1989). Analog VLSI and neural systems. Reading, Mass.: Addison-Wesley. ISBN 0201059924. OCLC 17954003.

arxiv.org (Global: 69^th place; English: 59^th place)

Sun, Deqing; Yang, Xiaodong; Liu, Ming-Yu; Kautz, Jan (2018-06-25). "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume". arXiv:1709.02371 [cs.CV].
Teed, Zachary; Deng, Jia (2020-08-25). "RAFT: Recurrent All-Pairs Field Transforms for Optical Flow". arXiv:2003.12039 [cs.CV].
Xu, Haofei; Yang, Jiaolong; Cai, Jianfei; Zhang, Juyong; Tong, Xin (2021-08-29). "High-Resolution Optical Flow from 1D Attention and Correlation". arXiv:2104.13918 [cs.CV].
Xu, Gangwei; Chen, Shujun; Jia, Hao; Feng, Miaojie; Yang, Xin (2025-03-04). "Memory-Efficient Optical Flow via Radius-Distribution Orthogonal Cost Volume". arXiv:2312.03790 [cs.CV].
Bargatin, Vladislav; Chistov, Egor; Yakovenko, Alexander; Vatolin, Dmitriy (2025-06-29). "MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation". arXiv:2506.23151 [cs.CV].
Mayer, Nikolaus; Ilg, Eddy; Häusser, Philip; Fischer, Philipp; Cremers, Daniel; Dosovitskiy, Alexey; Brox, Thomas (2015-12-07). "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation". 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 4040–4048. arXiv:1512.02134. doi:10.1109/CVPR.2016.438. ISBN 978-1-4673-8851-1.
Mehl, Lukas; Schmalfuss, Jenny; Jahedi, Azin; Nalivayko, Yaroslava; Bruhn, Andrés (2023-03-03). "Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo". arXiv:2303.01943 [cs.CV].
Jonschkowski, Rico; Stone, Austin; Barron, Jonathan T.; Gordon, Ariel; Konolige, Kurt; Angelova, Anelia (2020). "What Matters in Unsupervised Optical Flow". Computer Vision – ECCV 2020. Lecture Notes in Computer Science. Vol. 12347. Cham: Springer International Publishing. pp. 557–572. arXiv:2006.04902. doi:10.1007/978-3-030-58536-5_33. ISBN 978-3-030-58536-5.
Weinzaepfel, Philippe; Lucas, Thomas; Leroy, Vincent; Cabon, Yohann; Arora, Vaibhav; Brégier, Romain; Csurka, Gabriela; Antsfeld, Leonid; Chidlovskii, Boris (2023-08-18). "CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow". arXiv:2211.10408 [cs.CV].

books.google.com (Global: 3^rd place; English: 3^rd place)

Burton, Andrew; Radford, John (1978). Thinking in Perspective: Critical Essays in the Study of Thought Processes. Routledge. ISBN 978-0-416-85840-2.
Warren, David H.; Strelow, Edward R. (1985). Electronic Spatial Sensing for the Blind: Contributions from Perception. Springer. ISBN 978-90-247-2689-9.
Brown, Christopher M. (1987). Advances in Computer Vision. Lawrence Erlbaum Associates. ISBN 978-0-89859-648-9.

cambridge.org (Global: 305^th place; English: 264^th place)

Barrows, G. L.; Chahl, J. S.; Srinivasan, M. V. (2003). "Biologically inspired visual sensing and flight control". Aeronautical Journal. 107 (1069): 159–268. doi:10.1017/S0001924000011891. S2CID 108782688 – via Cambridge University Press.

diku.dk (Global: low place; English: low place)

image.diku.dk

Horn, Berthold K.P.; Schunck, Brian G. (August 1981). "Determining optical flow" (PDF). Artificial Intelligence. 17 (1–3): 185–203. doi:10.1016/0004-3702(81)90024-2. hdl:1721.1/6337. Archived from the original (PDF) on 2024-12-25. Retrieved 2018-11-15.

doi.org (Global: 2^nd place; English: 2^nd place)

Horn, Berthold K.P.; Schunck, Brian G. (August 1981). "Determining optical flow" (PDF). Artificial Intelligence. 17 (1–3): 185–203. doi:10.1016/0004-3702(81)90024-2. hdl:1721.1/6337. Archived from the original (PDF) on 2024-12-25. Retrieved 2018-11-15.
Royden, C. S.; Moore, K. D. (2012). "Use of speed cues in the detection of moving objects by moving observers". Vision Research. 59: 17–24. doi:10.1016/j.visres.2012.02.006. PMID 22406544. S2CID 52847487.
Beauchemin, S. S.; Barron, J. L. (1995). "The computation of optical flow". ACM Computing Surveys. 27 (3). ACM New York, USA: 433–466. doi:10.1145/212094.212141. S2CID 1334552.
Zhai, Mingliang; Xiang, Xuezhi; Lv, Ning; Kong, Xiangdong (2021). "Optical flow and scene flow estimation: A survey". Pattern Recognition. 114 107861. Bibcode:2021PatRe.11407861Z. doi:10.1016/j.patcog.2021.107861.
Fortun, Denis; Bouthemy, Patrick; Kervrann, Charles (2015-05-01). "Optical flow modeling and computation: A survey". Computer Vision and Image Understanding. 134: 1–21. Bibcode:2015CVIU..134....1F. doi:10.1016/j.cviu.2015.02.008. Retrieved 2024-12-23.
Brox, Thomas; Bruhn, Andrés; Papenberg, Nils; Weickert, Joachim (2004). "High Accuracy Optical Flow Estimation Based on a Theory for Warping". Computer Vision - ECCV 2004. ECCV 2004. Berlin, Heidelberg: Springer Berlin Heidelberg. pp. 25–36. doi:10.1007/978-3-540-24673-2_3.
Baker, Simon; Scharstein, Daniel; Lewis, J. P.; Roth, Stefan; Black, Michael J.; Szeliski, Richard (1 March 2011). "A Database and Evaluation Methodology for Optical Flow". International Journal of Computer Vision. 92 (1): 1–31. doi:10.1007/s11263-010-0390-2. ISSN 1573-1405.
Meinhardt-Llopis, Enric; Pérez, Javier Sánchez; Kondermann, Daniel (19 July 2013). "Horn-Schunck Optical Flow with a Multi-Scale Strategy". Image Processing on Line. 3: 151–172. doi:10.5201/ipol.2013.20.
Black, Michael J.; Anandan, P. (1 January 1996). "The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields". Computer Vision and Image Understanding. 63 (1): 75–104. doi:10.1006/cviu.1996.0006. ISSN 1077-3142.
Dosovitskiy, Alexey; Fischer, Philipp; Ilg, Eddy; Hausser, Philip; Hazirbas, Caner; Golkov, Vladimir; Smagt, Patrick van der; Cremers, Daniel; Brox, Thomas (2015). FlowNet: Learning Optical Flow with Convolutional Networks. 2015 IEEE International Conference on Computer Vision (ICCV). IEEE. pp. 2758–2766. doi:10.1109/ICCV.2015.316. ISBN 978-1-4673-8391-2.
Alfarano, Andrea; Maiano, Luca; Papa, Lorenzo; Amerini, Irene (2024). "Estimating optical flow: A comprehensive review of the state of the art". Computer Vision and Image Understanding. 249 104160. doi:10.1016/j.cviu.2024.104160. hdl:11573/1726258.
Mayer, Nikolaus; Ilg, Eddy; Häusser, Philip; Fischer, Philipp; Cremers, Daniel; Dosovitskiy, Alexey; Brox, Thomas (2015-12-07). "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation". 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 4040–4048. arXiv:1512.02134. doi:10.1109/CVPR.2016.438. ISBN 978-1-4673-8851-1.
Tu, Zhigang; Xie, Wei; Zhang, Dejun; Poppe, Ronald; Veltkamp, Remco C.; Li, Baoxin; Yuan, Junsong (1 March 2019). "A survey of variational and CNN-based optical flow techniques". Signal Processing: Image Communication. 72: 9–24. doi:10.1016/j.image.2018.12.002. hdl:1874/379559.
Butler, Daniel J.; Wulff, Jonas; Stanley, Garrett B.; Black, Michael J. (2012). "A Naturalistic Open Source Movie for Optical Flow Evaluation". In Fitzgibbon, Andrew; Lazebnik, Svetlana; Perona, Pietro; Sato, Yoichi; Schmid, Cordelia (eds.). Computer Vision – ECCV 2012. Lecture Notes in Computer Science. Vol. 7577. Berlin, Heidelberg: Springer. pp. 611–625. doi:10.1007/978-3-642-33783-3_44. ISBN 978-3-642-33783-3.
Menze, Moritz; Geiger, Andreas (2015). "Object scene flow for autonomous vehicles". 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 3061–3070. doi:10.1109/CVPR.2015.7298925. ISBN 978-1-4673-6964-0.
Jonschkowski, Rico; Stone, Austin; Barron, Jonathan T.; Gordon, Ariel; Konolige, Kurt; Angelova, Anelia (2020). "What Matters in Unsupervised Optical Flow". Computer Vision – ECCV 2020. Lecture Notes in Computer Science. Vol. 12347. Cham: Springer International Publishing. pp. 557–572. arXiv:2006.04902. doi:10.1007/978-3-030-58536-5_33. ISBN 978-3-030-58536-5.
Barrows, G. L.; Chahl, J. S.; Srinivasan, M. V. (2003). "Biologically inspired visual sensing and flight control". Aeronautical Journal. 107 (1069): 159–268. doi:10.1017/S0001924000011891. S2CID 108782688 – via Cambridge University Press.
Mendes, Luís P. N.; Ricardo, Ana M. C.; Bernardino, Alexandre J. M.; Ferreira, Rui M. L. (15 December 2021). "A comparative study of optical flow methods for fluid mechanics". Experiments in Fluids. 63 (1): 7. doi:10.1007/s00348-021-03357-7. ISSN 1432-1114.

elsevier.com (Global: 610^th place; English: 704^th place)

linkinghub.elsevier.com

Alfarano, Andrea; Maiano, Luca; Papa, Lorenzo; Amerini, Irene (2024). "Estimating optical flow: A comprehensive review of the state of the art". Computer Vision and Image Understanding. 249 104160. doi:10.1016/j.cviu.2024.104160. hdl:11573/1726258.

handle.net (Global: 102^nd place; English: 76^th place)

hdl.handle.net

Horn, Berthold K.P.; Schunck, Brian G. (August 1981). "Determining optical flow" (PDF). Artificial Intelligence. 17 (1–3): 185–203. doi:10.1016/0004-3702(81)90024-2. hdl:1721.1/6337. Archived from the original (PDF) on 2024-12-25. Retrieved 2018-11-15.
Alfarano, Andrea; Maiano, Luca; Papa, Lorenzo; Amerini, Irene (2024). "Estimating optical flow: A comprehensive review of the state of the art". Computer Vision and Image Understanding. 249 104160. doi:10.1016/j.cviu.2024.104160. hdl:11573/1726258.
Tu, Zhigang; Xie, Wei; Zhang, Dejun; Poppe, Ronald; Veltkamp, Remco C.; Li, Baoxin; Yuan, Junsong (1 March 2019). "A survey of variational and CNN-based optical flow techniques". Signal Processing: Image Communication. 72: 9–24. doi:10.1016/j.image.2018.12.002. hdl:1874/379559.

harvard.edu (Global: 18^th place; English: 17^th place)

ui.adsabs.harvard.edu

Zhai, Mingliang; Xiang, Xuezhi; Lv, Ning; Kong, Xiangdong (2021). "Optical flow and scene flow estimation: A survey". Pattern Recognition. 114 107861. Bibcode:2021PatRe.11407861Z. doi:10.1016/j.patcog.2021.107861.
Fortun, Denis; Bouthemy, Patrick; Kervrann, Charles (2015-05-01). "Optical flow modeling and computation: A survey". Computer Vision and Image Understanding. 134: 1–21. Bibcode:2015CVIU..134....1F. doi:10.1016/j.cviu.2015.02.008. Retrieved 2024-12-23.

ieee.org (Global: 652^nd place; English: 515^th place)

ieeexplore.ieee.org

Sun, Deqing; Roth, Stefan; Black, Micahel J. (2010). "Secrets of optical flow estimation and their principles". 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Francisco, CA, USA: IEEE. pp. 2432–2439.
Steinbr¨ucker, Frank; Pock, Thomas; Cremers, Daniel; Weickert, Joachim (2009). "Large Displacement Optical Flow Computation without Warping". 2009 IEEE 12th International Conference on Computer Vision. 2009 IEEE 12th International Conference on Computer Vision. IEEE. pp. 1609–1614.

nih.gov (Global: 4^th place; English: 4^th place)

pubmed.ncbi.nlm.nih.gov

Royden, C. S.; Moore, K. D. (2012). "Use of speed cues in the detection of moving objects by moving observers". Vision Research. 59: 17–24. doi:10.1016/j.visres.2012.02.006. PMID 22406544. S2CID 52847487.

robotacademy.net.au (Global: low place; English: low place)

Corke, Peter (8 May 2017). "The Image Jacobian". QUT Robot Academy.

sciencedirect.com (Global: 149^th place; English: 178^th place)

Zhai, Mingliang; Xiang, Xuezhi; Lv, Ning; Kong, Xiangdong (2021). "Optical flow and scene flow estimation: A survey". Pattern Recognition. 114 107861. Bibcode:2021PatRe.11407861Z. doi:10.1016/j.patcog.2021.107861.
Fortun, Denis; Bouthemy, Patrick; Kervrann, Charles (2015-05-01). "Optical flow modeling and computation: A survey". Computer Vision and Image Understanding. 134: 1–21. Bibcode:2015CVIU..134....1F. doi:10.1016/j.cviu.2015.02.008. Retrieved 2024-12-23.

semanticscholar.org (Global: 11^th place; English: 8^th place)

api.semanticscholar.org

Royden, C. S.; Moore, K. D. (2012). "Use of speed cues in the detection of moving objects by moving observers". Vision Research. 59: 17–24. doi:10.1016/j.visres.2012.02.006. PMID 22406544. S2CID 52847487.
Beauchemin, S. S.; Barron, J. L. (1995). "The computation of optical flow". ACM Computing Surveys. 27 (3). ACM New York, USA: 433–466. doi:10.1145/212094.212141. S2CID 1334552.
Barrows, G. L.; Chahl, J. S.; Srinivasan, M. V. (2003). "Biologically inspired visual sensing and flight control". Aeronautical Journal. 107 (1069): 159–268. doi:10.1017/S0001924000011891. S2CID 108782688 – via Cambridge University Press.

springer.com (Global: 274^th place; English: 309^th place)

link.springer.com

Brox, Thomas; Bruhn, Andrés; Papenberg, Nils; Weickert, Joachim (2004). "High Accuracy Optical Flow Estimation Based on a Theory for Warping". Computer Vision - ECCV 2004. ECCV 2004. Berlin, Heidelberg: Springer Berlin Heidelberg. pp. 25–36. doi:10.1007/978-3-540-24673-2_3.
Butler, Daniel J.; Wulff, Jonas; Stanley, Garrett B.; Black, Michael J. (2012). "A Naturalistic Open Source Movie for Optical Flow Evaluation". In Fitzgibbon, Andrew; Lazebnik, Svetlana; Perona, Pietro; Sato, Yoichi; Schmid, Cordelia (eds.). Computer Vision – ECCV 2012. Lecture Notes in Computer Science. Vol. 7577. Berlin, Heidelberg: Springer. pp. 611–625. doi:10.1007/978-3-642-33783-3_44. ISBN 978-3-642-33783-3.
Mendes, Luís P. N.; Ricardo, Ana M. C.; Bernardino, Alexandre J. M.; Ferreira, Rui M. L. (15 December 2021). "A comparative study of optical flow methods for fluid mechanics". Experiments in Fluids. 63 (1): 7. doi:10.1007/s00348-021-03357-7. ISSN 1432-1114.

ufrn.br (Global: low place; English: low place)

dca.ufrn.br

Aires, Kelson R. T.; Santana, Andre M.; Medeiros, Adelardo A. D. (2008). Optical Flow Using Color Information (PDF). ACM New York, NY, USA. ISBN 978-1-59593-753-7.

web.archive.org (Global: 1^st place; English: 1^st place)

Horn, Berthold K.P.; Schunck, Brian G. (August 1981). "Determining optical flow" (PDF). Artificial Intelligence. 17 (1–3): 185–203. doi:10.1016/0004-3702(81)90024-2. hdl:1721.1/6337. Archived from the original (PDF) on 2024-12-25. Retrieved 2018-11-15.

worldcat.org (Global: 5^th place; English: 5^th place)

search.worldcat.org

Baker, Simon; Scharstein, Daniel; Lewis, J. P.; Roth, Stefan; Black, Michael J.; Szeliski, Richard (1 March 2011). "A Database and Evaluation Methodology for Optical Flow". International Journal of Computer Vision. 92 (1): 1–31. doi:10.1007/s11263-010-0390-2. ISSN 1573-1405.
Black, Michael J.; Anandan, P. (1 January 1996). "The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields". Computer Vision and Image Understanding. 63 (1): 75–104. doi:10.1006/cviu.1996.0006. ISSN 1077-3142.
Mendes, Luís P. N.; Ricardo, Ana M. C.; Bernardino, Alexandre J. M.; Ferreira, Rui M. L. (15 December 2021). "A comparative study of optical flow methods for fluid mechanics". Experiments in Fluids. 63 (1): 7. doi:10.1007/s00348-021-03357-7. ISSN 1432-1114.
Moini, Alireza (2000). Vision Chips. Boston, MA: Springer US. ISBN 9781461552673. OCLC 851803922.
Mead, Carver (1989). Analog VLSI and neural systems. Reading, Mass.: Addison-Wesley. ISBN 0201059924. OCLC 17954003.
Stocker, Alan A. (2006). Analog VLSI circuits for the perception of visual motion. Chichester, England: John Wiley & Sons. ISBN 0470034882. OCLC 71521689.
Floreano, Dario; Zufferey, Jean-Christophe; Srinivasan, Mandyam V.; Ellington, Charlie, eds. (2009). Flying insects and robots. Heidelberg: Springer. ISBN 9783540893936. OCLC 495477442.

Optical flow (English Wikipedia)

acm.org (Global: 1,185th place; English: 840th place)

portal.acm.org

dl.acm.org

archive.org (Global: 6th place; English: 6th place)

arxiv.org (Global: 69th place; English: 59th place)

books.google.com (Global: 3rd place; English: 3rd place)

cambridge.org (Global: 305th place; English: 264th place)

diku.dk (Global: low place; English: low place)

image.diku.dk

doi.org (Global: 2nd place; English: 2nd place)

elsevier.com (Global: 610th place; English: 704th place)

linkinghub.elsevier.com

handle.net (Global: 102nd place; English: 76th place)

hdl.handle.net

harvard.edu (Global: 18th place; English: 17th place)

ui.adsabs.harvard.edu

ieee.org (Global: 652nd place; English: 515th place)

ieeexplore.ieee.org

nih.gov (Global: 4th place; English: 4th place)

pubmed.ncbi.nlm.nih.gov

robotacademy.net.au (Global: low place; English: low place)

sciencedirect.com (Global: 149th place; English: 178th place)

semanticscholar.org (Global: 11th place; English: 8th place)

api.semanticscholar.org

springer.com (Global: 274th place; English: 309th place)

link.springer.com

ufrn.br (Global: low place; English: low place)

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web.archive.org (Global: 1st place; English: 1st place)

worldcat.org (Global: 5th place; English: 5th place)

search.worldcat.org

acm.org (Global: 1,185^th place; English: 840^th place)

archive.org (Global: 6^th place; English: 6^th place)

arxiv.org (Global: 69^th place; English: 59^th place)

books.google.com (Global: 3^rd place; English: 3^rd place)

cambridge.org (Global: 305^th place; English: 264^th place)

doi.org (Global: 2^nd place; English: 2^nd place)

elsevier.com (Global: 610^th place; English: 704^th place)

handle.net (Global: 102^nd place; English: 76^th place)

harvard.edu (Global: 18^th place; English: 17^th place)

ieee.org (Global: 652^nd place; English: 515^th place)

nih.gov (Global: 4^th place; English: 4^th place)

sciencedirect.com (Global: 149^th place; English: 178^th place)

semanticscholar.org (Global: 11^th place; English: 8^th place)

springer.com (Global: 274^th place; English: 309^th place)

web.archive.org (Global: 1^st place; English: 1^st place)

worldcat.org (Global: 5^th place; English: 5^th place)