Open Source Computer Vision Library https://opencv.org/
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@incollection{ABD12,
author = {Alcantarilla, Pablo Fern{\'a}ndez and Bartoli, Adrien and Davison, Andrew J},
title = {KAZE features},
booktitle = {Computer Vision--ECCV 2012},
year = {2012},
pages = {214--227},
publisher = {Springer},
url = {https://www.doc.ic.ac.uk/~ajd/Publications/alcantarilla_etal_eccv2012.pdf}
}
@article{ANB13,
author = {Pablo Fern{\'{a}}ndez Alcantarilla and Jes{\'{u}}s Nuevo and Adrien Bartoli},
editor = {Tilo Burghardt and Dima Damen and Walterio W. Mayol{-}Cuevas and Majid Mirmehdi},
title = {Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces},
booktitle = {British Machine Vision Conference, {BMVC} 2013, Bristol, UK, September 9-13, 2013},
pages = {13.1--13.11},
publisher = {{BMVA} Press},
year = {2013},
url = {https://doi.org/10.5244/C.27.13},
doi = {10.5244/C.27.13},
timestamp = {Sat, 09 Apr 2022 12:44:13 +0200},
biburl = {https://dblp.org/rec/conf/bmvc/AlcantarillaNB13.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{Andreff99,
author = {Andreff, Nicolas and Horaud, Radu and Espiau, Bernard},
title = {On-line Hand-eye Calibration},
booktitle = {Proceedings of the 2Nd International Conference on 3-D Digital Imaging and Modeling},
series = {3DIM'99},
year = {1999},
isbn = {0-7695-0062-5},
location = {Ottawa, Canada},
pages = {430--436},
numpages = {7},
url = {http://dl.acm.org/citation.cfm?id=1889712.1889775},
acmid = {1889775},
publisher = {IEEE Computer Society},
address = {Washington, DC, USA},
}
@inproceedings{Arandjelovic:2012:TTE:2354409.2355123,
author = {Arandjelovic, Relja},
title = {Three Things Everyone Should Know to Improve Object Retrieval},
booktitle = {Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
series = {CVPR '12},
year = {2012},
isbn = {978-1-4673-1226-4},
pages = {2911--2918},
numpages = {8},
url = {http://dl.acm.org/citation.cfm?id=2354409.2355123},
acmid = {2355123},
publisher = {IEEE Computer Society},
address = {Washington, DC, USA},
keywords = {Vectors,Visualization,Kernel,Standards,Support vector machines,Indexes,Euclidean distance}
}
@article{BA83,
author = {Burt, Peter J and Adelson, Edward H},
title = {A multiresolution spline with application to image mosaics},
year = {1983},
pages = {217--236},
journal = {ACM Transactions on Graphics (TOG)},
volume = {2},
number = {4},
publisher = {ACM},
url = {http://persci.mit.edu/pub_pdfs/spline83.pdf}
}
@article{BL07,
author = {Brown, Matthew and Lowe, David G},
title = {Automatic panoramic image stitching using invariant features},
year = {2007},
pages = {59--73},
journal = {International journal of computer vision},
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number = {1},
publisher = {Springer},
url = {http://matthewalunbrown.com/papers/ijcv2007.pdf}
}
@article{BT96,
author = {Birchfield, Stan and Tomasi, Carlo},
title = {Depth discontinuities by pixel-to-pixel stereo},
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journal = {International Journal of Computer Vision},
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number = {3},
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}
@article{BT98,
author = {Birchfield, Stan and Tomasi, Carlo},
title = {A pixel dissimilarity measure that is insensitive to image sampling},
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pages = {401--406},
journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
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number = {4},
publisher = {IEEE},
url = {http://robotics.stanford.edu/~birch/publications/dissimilarity_pami1998.pdf}
}
@article{Ballard1981,
author = {Ballard, Dana H},
title = {Generalizing the Hough transform to detect arbitrary shapes},
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journal = {Pattern recognition},
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number = {2},
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url = {https://www.cs.bgu.ac.il/~icbv161/wiki.files/Readings/1981-Ballard-Generalizing_the_Hough_Transform_to_Detect_Arbitrary_Shapes.pdf}
}
@techreport{blanco2010tutorial,
title = {A tutorial on SE(3) transformation parameterizations and on-manifold optimization},
author = {Blanco, Jose-Luis},
institution = {University of Malaga},
number = {012010},
year = {2010},
url = {http://ingmec.ual.es/~jlblanco/papers/jlblanco2010geometry3D_techrep.pdf}
}
@inproceedings{Bolelli2017,
title = {{Two More Strategies to Speed Up Connected Components Labeling Algorithms}},
author = {Bolelli, Federico and Cancilla, Michele and Grana, Costantino},
year = 2017,
booktitle = {Image Analysis and Processing - ICIAP 2017},
publisher = {Springer},
volume = 10485,
pages = {48--58},
doi = {10.1007/978-3-319-68548-9_5},
isbn = {978-3-319-68547-2}
}
@article{Bolelli2019,
title = {{Spaghetti Labeling: Directed Acyclic Graphs for Block-Based Connected Components Labeling}},
author = {Bolelli, Federico and Allegretti, Stefano and Baraldi, Lorenzo and Grana, Costantino},
year = 2019,
journal = {IEEE Transactions on Image Processing},
publisher = {IEEE},
volume = 29,
number = 1,
pages = {1999--2012},
doi = {10.1109/TIP.2019.2946979},
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}
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title = {Pyramidal implementation of the affine lucas kanade feature tracker description of the algorithm},
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}
@misc{BouguetMCT,
author = {Bouguet, Jean-Yves},
title = {Camera Calibration Tool box for Matlab [EB/OL]},
year = {2004}
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@inproceedings{Bradski00,
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@incollection{Brox2004,
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title = {High accuracy optical flow estimation based on a theory for warping},
booktitle = {Computer Vision-ECCV 2004},
year = {2004},
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publisher = {Springer},
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@inproceedings{CL12,
author = {Lu, Cewu and Xu, Li and Jia, Jiaya},
title = {Contrast preserving decolorization},
booktitle = {Computational Photography (ICCP), 2012 IEEE International Conference on},
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publisher = {IEEE},
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}
@article{Canny86,
author = {Canny, John},
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@article{ChambolleEtAl,
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journal = {Theoretical foundations and numerical methods for sparse recovery},
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publisher = {Walter de Gruyter}
}
@article{Chaumette06,
author = {Chaumette, Fran{\c c}ois and Hutchinson, S.},
title = {{Visual servo control, Part I: Basic approaches}},
url = {https://hal.inria.fr/inria-00350283},
journal = {{IEEE Robotics and Automation Magazine}},
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hal_id = {inria-00350283},
hal_version = {v1},
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@article{Collins14,
year = {2014},
issn = {0920-5691},
journal = {International Journal of Computer Vision},
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number = {3},
doi = {10.1007/s11263-014-0725-5},
title = {Infinitesimal Plane-Based Pose Estimation},
url = {http://dx.doi.org/10.1007/s11263-014-0725-5},
publisher = {Springer US},
keywords = {Plane; Pose; SfM; PnP; Homography},
author = {Collins, Toby and Bartoli, Adrien},
pages = {252-286},
language = {English}
}
@article{Daniilidis98,
author = {Konstantinos Daniilidis},
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@inproceedings{DM03,
author = {Drago, Fr{\'e}d{\'e}ric and Myszkowski, Karol and Annen, Thomas and Chiba, Norishige},
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}
@inproceedings{DM97,
author = {Debevec, Paul E and Malik, Jitendra},
title = {Recovering high dynamic range radiance maps from photographs},
booktitle = {ACM SIGGRAPH 2008 classes},
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@inproceedings{Dalal2005,
author = {Dalal, Navneet and Triggs, Bill},
title = {Histograms of oriented gradients for human detection},
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}
@inproceedings{Davis97,
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@misc{Eade13,
author = {Eade, Ethan},
title = {Gauss-Newton / Levenberg-Marquardt Optimization},
year = {2013},
url = {http://ethaneade.com/optimization.pdf}
}
@misc{Eade17,
author = {Eade, Ethan},
title = {Lie Groups for 2D and 3D Transformation},
year = {2017},
url = {http://www.ethaneade.com/lie.pdf}
}
@inproceedings{EM11,
author = {Gastal, Eduardo SL and Oliveira, Manuel M},
title = {Domain transform for edge-aware image and video processing},
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publisher = {ACM},
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}
@article{EP08,
author = {Evangelidis, Georgios D and Psarakis, Emmanouil Z},
title = {Parametric image alignment using enhanced correlation coefficient maximization},
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journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
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publisher = {IEEE},
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}
@inproceedings{FGD2003,
author = {Li, Liyuan and Huang, Weimin and Gu, Irene YH and Tian, Qi},
title = {Foreground object detection from videos containing complex background},
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@inproceedings{FL02,
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}
@incollection{Farneback2003,
author = {Farneb{\"a}ck, Gunnar},
title = {Two-frame motion estimation based on polynomial expansion},
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publisher = {Springer},
url = {https://doi.org/10.1007/3-540-45103-X_50},
doi = {10.1007/3-540-45103-X_50}
}
@inproceedings{Farsiu03,
author = {Farsiu, Sina and Robinson, Dirk and Elad, Michael and Milanfar, Peyman},
title = {Fast and robust super-resolution},
booktitle = {Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on},
year = {2003},
pages = {II--291},
volume = {2},
publisher = {IEEE},
url = {http://www.academia.edu/download/42361965/ICIP2003SR.pdf}
}
@techreport{Felzenszwalb04,
author = {Felzenszwalb, Pedro and Huttenlocher, Daniel},
title = {Distance transforms of sampled functions},
year = {2004},
institution = {Cornell University},
url = {http://www.theoryofcomputing.org/articles/v008a019/v008a019.pdf}
}
@article{Felzenszwalb10,
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title = {Object detection with discriminatively trained part-based models},
year = {2010},
pages = {1627--1645},
journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
volume = {32},
number = {9},
publisher = {IEEE},
url = {http://lear.inrialpes.fr/~oneata/reading_group/dpm.pdf}
}
@article{Felzenszwalb2006,
author = {Felzenszwalb, Pedro F and Huttenlocher, Daniel P},
title = {Efficient belief propagation for early vision},
year = {2006},
pages = {41--54},
journal = {International journal of computer vision},
volume = {70},
number = {1},
publisher = {Springer},
url = {http://www.cs.duke.edu/research/AI/papers/Felzenszwalb06.pdf}
}
@inproceedings{Fitzgibbon95,
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}
@article{fitzgibbon1999,
abstract = {This work presents a new efficient method for fitting ellipses to scattered data. Previous algorithms either fitted general conics or were computationally expensive. By minimizing the algebraic distance subject to the constraint 4ac-b<sup>2</sup>=1, the new method incorporates the ellipticity constraint into the normalization factor. The proposed method combines several advantages: It is ellipse-specific, so that even bad data will always return an ellipse. It can be solved naturally by a generalized eigensystem. It is extremely robust, efficient, and easy to implement},
author = {Fitzgibbon, Andrew and Pilu, Maurizio and Fisher, Robert B.},
doi = {10.1109/34.765658},
isbn = {0162-8828},
issn = {01628828},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
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pmid = {708},
title = {Direct least square fitting of ellipses},
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title = {A Compact Formula for the Derivative of a 3-D Rotation in Exponential Coordinates},
author = {Guillermo Gallego and Anthony J. Yezzi},
journal = {Journal of Mathematical Imaging and Vision},
year = {2014},
volume = {51},
pages = {378-384}
}
@article{Grana2010,
title = {{Optimized Block-Based Connected Components Labeling With Decision Trees}},
author = {Grana, Costantino and Borghesani, Daniele and Cucchiara, Rita},
year = 2010,
journal = {IEEE Transactions on Image Processing},
volume = 19,
number = 6,
pages = {1596--1609},
doi = {10.1109/TIP.2010.2044963}
}
@article{taubin1991,
abstract = {The author addresses the problem of parametric representation and estimation of complex planar curves in 2-D surfaces in 3-D, and nonplanar space curves in 3-D. Curves and surfaces can be defined either parametrically or implicitly, with the latter representation used here. A planar curve is the set of zeros of a smooth function of two variables <e1>x</e1>-<e1>y</e1>, a surface is the set of zeros of a smooth function of three variables <e1>x</e1>-<e1>y</e1>-<e1>z</e1>, and a space curve is the intersection of two surfaces, which are the set of zeros of two linearly independent smooth functions of three variables <e1>x</e1>-<e1>y</e1>-<e1>z</e1> For example, the surface of a complex object in 3-D can be represented as a subset of a single implicit surface, with similar results for planar and space curves. It is shown how this unified representation can be used for object recognition, object position estimation, and segmentation of objects into meaningful subobjects, that is, the detection of `interest regions' that are more complex than high curvature regions and, hence, more useful as features for object recognition},
author = {Taubin, Gabriel},
doi = {10.1109/34.103273},
isbn = {0162-8828},
issn = {01628828},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
number = {11},
pages = {1115--1138},
title = {Estimation of planar curves, surfaces, and nonplanar space curves defined by implicit equations with applications to edge and range image segmentation},
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year = {1991},
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}
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title = {Auto-directed video stabilization with robust l1 optimal camera paths},
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year = {2011},
pages = {225--232},
publisher = {IEEE},
url = {https://smartech.gatech.edu/bitstream/handle/1853/44611/2011-Grundmann-AVSWROCP.pdf?sequence=1&isAllowed=y}
}
@article{GW03,
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number = {2},
publisher = {Taylor \& Francis},
url = {http://pages.cs.wisc.edu/~lizhang/courses/cs766-2008f/projects/hdr/jgtpap2.pdf}
}
@inproceedings{Gold2012,
author = {Godbehere, Andrew B and Matsukawa, Akihiro and Goldberg, Ken},
title = {Visual tracking of human visitors under variable-lighting conditions for a responsive audio art installation},
booktitle = {American Control Conference (ACC), 2012},
year = {2012},
pages = {4305--4312},
publisher = {IEEE},
url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.228.1735&rep=rep1&type=pdf}
}
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journal = {Pattern Recognition},
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}
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title = {Stereo processing by semiglobal matching and mutual information},
year = {2008},
pages = {328--341},
journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
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number = {2},
publisher = {IEEE},
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title = {The elements of statistical learning: data mining, inference and prediction},
year = {2001},
pages = {371--406},
journal = {New York: Springer-Verlag},
volume = {1},
number = {8},
url = {http://www.stat.auckland.ac.nz/~yee/784/files/ch09AdditiveModelsTrees.pdf}
}
@article{Hartley99,
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year = {1999},
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number = {2},
publisher = {Springer},
url = {http://www.cs.ait.ac.th/~mdailey/cvreadings/Hartley-Rectify.pdf}
}
@book{HartleyZ00,
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title = {Multiple view geometry in computer vision},
year = {2003},
publisher = {Cambridge university press},
url = {https://www.robots.ox.ac.uk/~vgg/hzbook/}
}
@article{Horaud95,
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journal = {Int. J. Rob. Res.},
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volume = {14},
number = {3},
month = jun,
year = {1995},
issn = {0278-3649},
pages = {195--210},
numpages = {16},
url = {http://dx.doi.org/10.1177/027836499501400301},
doi = {10.1177/027836499501400301},
acmid = {208622},
publisher = {Sage Publications, Inc.},
address = {Thousand Oaks, CA, USA}
}
@article{Horn81,
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}
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Merge pull request #25607 from Fest1veNapkin:imgproc_approx_bounding_poly Add a new function that approximates the polygon bounding a convex hull with a certain number of sides #25607 merge PR with <https://github.com/opencv/opencv_extra/pull/1179> This PR is based on the paper [View Frustum Optimization To Maximize Object’s Image Area](https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=1fbd43f3827fffeb76641a9c5ab5b625eb5a75ba). # Problem I needed to reduce the number of vertices of the convex hull so that the additional area was minimal, andall vertices of the original contour enter the new contour. ![image](https://github.com/Fest1veNapkin/opencv/assets/98156294/efac35f6-b8f0-46ec-91e4-60800432620c) ![image](https://github.com/Fest1veNapkin/opencv/assets/98156294/2292d9d7-1c10-49c9-8489-23221b4b28f7) # Description Initially in the contour of n vertices, at each stage we consider the intersection points of the lines formed by each adjacent edges. Each of these intersection points will form a triangle with vertices through which lines pass. Let's choose a triangle with the minimum area and merge the two vertices at the intersection point. We continue until there are more vertices than the specified number of sides of the approximated polygon. ![image](https://github.com/Fest1veNapkin/opencv/assets/98156294/b87b21c4-112e-450d-a776-2a120048ca30) # Complexity: Using a std::priority_queue or std::set time complexity is **(O(n\*ln(n))**, memory **O(n)**, n - number of vertices in convex hull. count of sides - the number of points by which we must reduce. ![image](https://github.com/Fest1veNapkin/opencv/assets/98156294/31ad5562-a67d-4e3c-bdc2-29f8b52caf88) ## Comment If epsilon_percentage more 0, algorithm can return more values than _side_. Algorithm returns OutputArray. If OutputArray.type() equals 0, algorithm returns values with InputArray.type(). New test uses image which are not in opencv_extra, needs to be added. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [ ] I agree to contribute to the project under Apache 2 License. - [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
5 months ago
@article{LowIlie2003,
author = {Kok-Lim Low, Adrian Ilie},
year = {2003},
pages = {3-15},
title = {View Frustum Optimization to Maximize Object's Image Area},
journal = {Journal of Graphics, (GPU, & Game) Tools (JGT)},
volume = {8},
url = {https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=1fbd43f3827fffeb76641a9c5ab5b625eb5a75ba}
}