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- '''Computer stereo vision''' is the extraction of 3D information from digital images, such as those o ...n two differing views on a scene, in a manner similar to human [[binocular vision]]. By comparing these two images, the relative depth information can be ob ...14 KB (2,082 words) - 02:21, 8 July 2024
- In the field of [[computer vision]], any two images of the same planar surface in space are related by a '''[ * [[Feature (computer vision)]] ...7 KB (1,061 words) - 10:41, 19 August 2024
Page text matches
- ...le Trucco |author7=Christopher K. I. Williams|title=Dictionary of Computer Vision and Image Processing|url=https://books.google.com/books?id=LZ4QAgAAQBAJ&pg= Laguerre formula can be useful in [[computer vision]], since the absolute conic has an image on the retinal plane which is inva ...3 KB (443 words) - 16:59, 21 February 2023
- {{Feature detection (computer vision) navbox}} ...erator''' (or '''SFOP''') is an algorithm to [[Feature detection (computer vision)|detect local features]] in images. The algorithm was published by Förstner ...5 KB (724 words) - 13:07, 22 July 2023
- In the field of [[computer vision]], any two images of the same planar surface in space are related by a '''[ * [[Feature (computer vision)]] ...7 KB (1,061 words) - 10:41, 19 August 2024
- ...search'', 85:1500–1510.</ref> and has been used in the field of [[computer vision]].<ref> ...the world around them.|url=http://web.mit.edu/newsoffice/2013/better-robot-vision-1007.html|publisher=MIT News|date=October 7, 2013|access-date=October 7, 20 ...3 KB (419 words) - 07:10, 3 December 2023
- ...Zabih and Woodfill (1994), p. 152.</ref> It has applications in [[computer vision]], and it is commonly used in visual [[correspondence problem]]s such as [[ ...nternational Conference on Scale Space and Variational Methods in Computer Vision|year=2013|last1=Hafner|first1=David|last2=Demetz|first2=Oliver|last3=Weicke ...5 KB (625 words) - 17:34, 26 October 2021
- | title=Deformable kernels for early vision [[Category:Feature detection (computer vision)]] ...2 KB (284 words) - 14:36, 26 January 2023
- {{Feature detection (computer vision) navbox}} ..., Mr. Nehinbe Joshua, Mr. Vassilis Papataxiarhis "International Journal of Computer Science Issues(Volume 8, Issue1)", IJCSI PUBLICATION, Jan 2011,</ref> is de ...4 KB (528 words) - 08:22, 14 June 2024
- {{Short description|Family of computer vision models designed for efficient inference}} ...ional neural network|convolutional neural networks]] (CNNs) for [[computer vision]] published by researchers at [[Google AI]] in 2019.<ref name=":0">{{Citati ...6 KB (720 words) - 18:33, 20 October 2024
- ...34 | year = 1992 | doi = 10.1007/3-540-55426-2_37 |series=Lecture Notes in Computer Science |isbn=978-3-540-55426-4 |doi-access=free }} title=Matrice fondamentale et auto-calibration en vision par ordinateur | ...5 KB (664 words) - 21:45, 29 January 2023
- ...d to recover a dense [[binocular disparity|disparity]] map from a [[stereo vision|stereo image pair]].<ref name="evaluation">Hirschmüller and Scharstein (200 ...functions for stereo matching|book-title=2007 IEEE Conference on Computer Vision and Pattern Recognition|year=2007|last1=Hirschmüller|first1=Heiko|last2=Sch ...5 KB (854 words) - 22:08, 18 April 2022
- ...tion (computer vision)|feature detector]] used in the fields of [[computer vision]] and [[image analysis]]. Specifically the '''PCBR''' detector is designed ...rom scale-invariant keypoints | journal =International Journal of Computer Vision | volume = 60 | issue = 2 | pages = 91–110 | year = 2004 | doi = 10.1023/B ...7 KB (974 words) - 23:17, 15 November 2022
- ...n initially used as a mathematical tool for shape comparison in [[computer vision]] and [[pattern recognition]].<ref>Alessandro Verri, Claudio Uras, Patrizio Image Vision Comput., 14:189–207, 1996. ...6 KB (758 words) - 01:22, 4 April 2023
- ...e a set of two equations, used in [[photogrammetry]] and [[computer stereo vision]], to relate [[coordinates]] in a [[sensor]] plane (in two dimensions) to o [[Category:Geometry in computer vision]] ...4 KB (604 words) - 09:25, 21 October 2024
- ...= Multilinear (Tensor) Algebraic Framework for Computer Graphics, Computer Vision and Machine Learning |work = Computer Vision — ECCV 2002 ...4 KB (519 words) - 20:05, 16 March 2024
- '''Computer stereo vision''' is the extraction of 3D information from digital images, such as those o ...n two differing views on a scene, in a manner similar to human [[binocular vision]]. By comparing these two images, the relative depth information can be ob ...14 KB (2,082 words) - 02:21, 8 July 2024
- In the field of [[computer vision]], '''velocity moments''' are weighted averages of the intensities of pixel [[Category:Motion in computer vision]] ...6 KB (1,079 words) - 03:18, 29 January 2024
- {{Short description|Measure of vision}} ...is the smallest detectable depth difference that can be seen in binocular vision. ...7 KB (1,001 words) - 17:22, 27 June 2023
- ...; "Rank-SIFT: Learning to rank repeatable local interest points", Computer Vision and Pattern Recognition (CVPR), 2011</ref> ...-Rank: Ordinal Description for Invariant Feature Correspondence", Computer Vision and Pattern Recognition, 2009.</ref> ...4 KB (656 words) - 22:03, 13 January 2019
- {{Short description|Family of computer vision models designed for efficient inference on mobile devices}} ...ned for [[image classification]], [[object detection]], and other computer vision tasks. They are designed for small size, low latency, and low power consump ...9 KB (1,220 words) - 16:54, 5 November 2024
- ...on: A Symmetry Group Approach |year=1994 |series=Computational Imaging and Vision |volume=1 |publisher=Springer |location=Dordrecht |doi=10.1007/978-94-017-1 ...6 KB (857 words) - 13:56, 27 January 2025