OpenCV  3.4.4
Open Source Computer Vision
Bibliography
[1]

Motilal Agrawal, Kurt Konolige, and Morten Rufus Blas. Censure: Center surround extremas for realtime feature detection and matching. In Computer Vision–ECCV 2008, pages 102–115. Springer, 2008.

[2]

Alexandre Alahi, Raphael Ortiz, and Pierre Vandergheynst. Freak: Fast retina keypoint. In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pages 510–517. Ieee, 2012.

[3]

Pablo F Alcantarilla, Jesús Nuevo, and Adrien Bartoli. Fast explicit diffusion for accelerated features in nonlinear scale spaces. Trans. Pattern Anal. Machine Intell, 34(7):1281–1298, 2011.

[4]

Pablo Fernández Alcantarilla, Adrien Bartoli, and Andrew J Davison. Kaze features. In Computer Vision–ECCV 2012, pages 214–227. Springer, 2012.

[5]

Dana H Ballard. Generalizing the hough transform to detect arbitrary shapes. Pattern recognition, 13(2):111–122, 1981.

[6]

Herbert Bay, Tinne Tuytelaars, and Luc Van Gool. Surf: Speeded up robust features. Computer Vision–ECCV 2006, pages 404–417, 2006.

[7]

Christian Beecks, Merih Seran Uysal, and Thomas Seidl. Signature quadratic form distance. In CIVR, pages 438–445. ACM, 2010.

[8]

JiaWang Bian, Wen-Yan Lin, Yasuyuki Matsushita, Sai-Kit Yeung, Tan Dat Nguyen, and Ming-Ming Cheng. Gms: Grid-based motion statistics for fast, ultra-robust feature correspondence. In IEEE Conference on Computer Vision and Pattern Recognition, 2017.

[9]

Stan Birchfield and Carlo Tomasi. A pixel dissimilarity measure that is insensitive to image sampling. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 20(4):401–406, 1998.

[10]

Gunilla Borgefors. Distance transformations in digital images. Computer vision, graphics, and image processing, 34(3):344–371, 1986.

[11]

Léon Bottou. Large-scale machine learning with stochastic gradient descent. In Proceedings of COMPSTAT'2010, pages 177–186. Springer, 2010.

[12]

Jean-Yves Bouguet. Pyramidal implementation of the affine lucas kanade feature tracker description of the algorithm. Intel Corporation, 5, 2001.

[13]

Jean-Yves Bouguet. Camera calibration tool box for matlab [eb/ol], 2004.

[14]

Gary R Bradski. Computer vision face tracking for use in a perceptual user interface. 1998.

[15]

Michael Calonder, Vincent Lepetit, Christoph Strecha, and Pascal Fua. Brief: Binary robust independent elementary features. In Computer Vision–ECCV 2010, pages 778–792. Springer, 2010.

[16]

John Canny. A computational approach to edge detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, (6):679–698, 1986.

[17]

Chih-Chung Chang and Chih-Jen Lin. Libsvm: a library for support vector machines. ACM Transactions on Intelligent Systems and Technology (TIST), 2(3):27, 2011.

[18]

Georgios D Evangelidis and Emmanouil Z Psarakis. Parametric image alignment using enhanced correlation coefficient maximization. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 30(10):1858–1865, 2008.

[19]

Gunnar Farnebäck. Two-frame motion estimation based on polynomial expansion. In Image Analysis, pages 363–370. Springer, 2003.

[20]

Pedro Felzenszwalb and Daniel Huttenlocher. Distance transforms of sampled functions. Technical report, Cornell University, 2004.

[21]

Andrew W Fitzgibbon and Robert B Fisher. A buyer's guide to conic fitting. In Proceedings of the 6th British conference on Machine vision (Vol. 2), pages 513–522. BMVA Press, 1995.

[22]

Andrew Fitzgibbon, Maurizio Pilu, and Robert B. Fisher. Direct least square fitting of ellipses. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(5):476–480, 1999.

[23]

Per-Erik Forssén. Maximally stable colour regions for recognition and matching. In Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on, pages 1–8. IEEE, 2007.

[24]

Xiao-Shan Gao, Xiao-Rong Hou, Jianliang Tang, and Hang-Fei Cheng. Complete solution classification for the perspective-three-point problem. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 25(8):930–943, 2003.

[25]

N Guil, José María Gonzalez-Linares, and Emilio L Zapata. Bidimensional shape detection using an invariant approach. Pattern Recognition, 32(6):1025–1038, 1999.

[26]

Richard Hartley and Andrew Zisserman. Multiple view geometry in computer vision. Cambridge university press, 2003.

[27]

Richard I Hartley. Theory and practice of projective rectification. International Journal of Computer Vision, 35(2):115–127, 1999.

[28]

Joel Hesch, Stergios Roumeliotis, and others. A direct least-squares (dls) method for pnp. In Computer Vision (ICCV), 2011 IEEE International Conference on, pages 383–390. IEEE, 2011.

[29]

Heiko Hirschmuller. Stereo processing by semiglobal matching and mutual information. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 30(2):328–341, 2008.

[30]

Ming-Kuei Hu. Visual pattern recognition by moment invariants. Information Theory, IRE Transactions on, 8(2):179–187, 1962.

[31]

Tong Ke and Stergios Roumeliotis. An efficient algebraic solution to the perspective-three-point problem. In Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on. IEEE, 2017.

[32]

S. Kirkpatrick, C. D. Jr Gelatt, and M. P. Vecchi. Optimization by simulated annealing. Science, 220(4598):671–680, 1983.

[33]

Victor Klee and Michael C Laskowski. Finding the smallest triangles containing a given convex polygon. Journal of Algorithms, 6(3):359–375, 1985.

[34]

Martin Krulis, Jakub Lokoc, and Tomas Skopal. Efficient extraction of clustering-based feature signatures using GPU architectures. Multimedia Tools Appl., 75(13):8071–8103, 2016.

[35]

Vincent Lepetit, Francesc Moreno-Noguer, and Pascal Fua. Epnp: An accurate o (n) solution to the pnp problem. International journal of computer vision, 81(2):155–166, 2009.

[36]

Stefan Leutenegger, Margarita Chli, and Roland Yves Siegwart. Brisk: Binary robust invariant scalable keypoints. In Computer Vision (ICCV), 2011 IEEE International Conference on, pages 2548–2555. IEEE, 2011.

[37]

H. Louhichi, T. Fournel, J. M. Lavest, and H. Ben Aissia. Self-calibration of scheimpflug cameras: an easy protocol. Meas. Sci. Technol., 18(8):2616–2622, 2007.

[38]

David G Lowe. Distinctive image features from scale-invariant keypoints. International journal of computer vision, 60(2):91–110, 2004.

[39]

"Elmar Mair, Gregory D. Hager, Darius Burschka, Michael Suppa, and Gerhard Hirzinger". <a href=""http://www6.in.tum.de/Main/ResearchAgast"">Adaptive and generic corner detection based on the accelerated segment test". In "European Conference on Computer Vision (ECCV'10)", "September" "2010".

[40]

Ezio Malis, Manuel Vargas, and others. Deeper understanding of the homography decomposition for vision-based control. 2007.

[41]

Jiri Matas, Charles Galambos, and Josef Kittler. Robust detection of lines using the progressive probabilistic hough transform. Computer Vision and Image Understanding, 78(1):119–137, 2000.

[42]

Fernand Meyer. Color image segmentation. In Image Processing and its Applications, 1992., International Conference on, pages 303–306. IET, 1992.

[43]

Krystian Mikolajczyk and Cordelia Schmid. Scale & affine invariant interest point detectors. International journal of computer vision, 60(1):63–86, 2004.

[44]

David Nistér and Henrik Stewénius. Linear time maximally stable extremal regions. In Computer Vision–ECCV 2008, pages 183–196. Springer, 2008.

[45]

David Nistér. An efficient solution to the five-point relative pose problem. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 26(6):756–770, 2004.

[46]

Joseph O'Rourke, Alok Aggarwal, Sanjeev Maddila, and Michael Baldwin. An optimal algorithm for finding minimal enclosing triangles. Journal of Algorithms, 7(2):258–269, 1986.

[47]

Adrian Penate-Sanchez, Juan Andrade-Cetto, and Francesc Moreno-Noguer. Exhaustive linearization for robust camera pose and focal length estimation. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 35(10):2387–2400, 2013.

[48]

Jan Puzicha, Thomas Hofmann, and Joachim M Buhmann. Non-parametric similarity measures for unsupervised texture segmentation and image retrieval. In Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on, pages 267–272. IEEE, 1997.

[49]

Martin Riedmiller and Heinrich Braun. A direct adaptive method for faster backpropagation learning: The rprop algorithm. In Neural Networks, 1993., IEEE International Conference on, pages 586–591. IEEE, 1993.

[50]

Edward Rosten and Tom Drummond. Machine learning for high-speed corner detection. In Computer Vision–ECCV 2006, pages 430–443. Springer, 2006.

[51]

Ethan Rublee, Vincent Rabaud, Kurt Konolige, and Gary Bradski. Orb: an efficient alternative to sift or surf. In Computer Vision (ICCV), 2011 IEEE International Conference on, pages 2564–2571. IEEE, 2011.

[52]

Yossi Rubner, Carlo Tomasi, and Leonidas J Guibas. The earth mover''s distance as a metric for image retrieval. 1998.

[53]

Yossi Rubner, Carlo Tomasi, and Leonidas J Guibas. The earth mover's distance as a metric for image retrieval. International Journal of Computer Vision, 40(2):99–121, 2000.

[54]

Javier Sánchez Pérez, Enric Meinhardt-Llopis, and Gabriele Facciolo. Tv-l1 optical flow estimation. 2012.

[55]

Jianbo Shi and Carlo Tomasi. Good features to track. In Computer Vision and Pattern Recognition, 1994. Proceedings CVPR'94., 1994 IEEE Computer Society Conference on, pages 593–600. IEEE, 1994.

[56]

K. Simonyan, A. Vedaldi, and A. Zisserman. Learning local feature descriptors using convex optimisation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014.

[57]

Jack Sklansky. Finding the convex hull of a simple polygon. Pattern Recognition Letters, 1(2):79–83, 1982.

[58]

Gregory G Slabaugh. Computing euler angles from a rotation matrix. Retrieved on August, 6:2000, 1999.

[59]

Henrik Stewenius. Calibrated fivepoint solver.

[60]

Satoshi Suzuki and others. Topological structural analysis of digitized binary images by border following. Computer Vision, Graphics, and Image Processing, 30(1):32–46, 1985.

[61]

V. Lepetit T. Trzcinski, M. Christoudias and P. Fua. Boosting Binary Keypoint Descriptors. In Computer Vision and Pattern Recognition, 2013.

[62]

M. Christoudias T. Trzcinski and V. Lepetit. Learning Image Descriptors with Boosting. submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2013.

[63]

Gabriel Taubin. Estimation of planar curves, surfaces, and nonplanar space curves defined by implicit equations with applications to edge and range image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(11):1115–1138, 1991.

[64]

C-H Teh and Roland T. Chin. On the detection of dominant points on digital curves. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 11(8):859–872, 1989.

[65]

E. Tola, V. Lepetit, and P. Fua. DAISY: An Efficient Dense Descriptor Applied to Wide Baseline Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(5):815–830, May 2010.

[66]

Federico Tombari and Luigi Di Stefano. Interest points via maximal self-dissimilarities. In Asian Conference on Computer Vision – ACCV 2014, 2014.

[67]

Rafael Grompone von Gioi, Jérémie Jakubowicz, Jean-Michel Morel, and Gregory Randall. Lsd: a line segment detector. 2012.

[68]

Greg Welch and Gary Bishop. An introduction to the kalman filter, 1995.

[69]

HK Yuen, John Princen, John Illingworth, and Josef Kittler. Comparative study of hough transform methods for circle finding. Image and Vision Computing, 8(1):71–77, 1990.

[70]

Christopher Zach, Thomas Pock, and Horst Bischof. A duality based approach for realtime tv-l 1 optical flow. In Pattern Recognition, pages 214–223. Springer, 2007.

[71]

Zhengyou Zhang. A flexible new technique for camera calibration. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 22(11):1330–1334, 2000.

[72]

Eric Christiansen David Kriegman Ziegler, Andrew and Serge J. Belongie. Locally uniform comparison image descriptor.

[73]

Zoran Zivkovic and Ferdinand van der Heijden. Efficient adaptive density estimation per image pixel for the task of background subtraction. Pattern recognition letters, 27(7):773–780, 2006.

[74]

Zoran Zivkovic. Improved adaptive gaussian mixture model for background subtraction. In Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on, volume 2, pages 28–31. IEEE, 2004.