OpenCV  3.3.0-dev
Open Source Computer Vision
Bibliography
[1]

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.

[2]

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

[3]

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

[4]

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.

[5]

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

[6]

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

[7]

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

[8]

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

[9]

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

[10]

Leo Breiman, Jerome Friedman, Charles J Stone, and Richard A Olshen. Classification and regression trees. CRC press, 1984.

[11]

Matthew Brown and David G Lowe. Automatic panoramic image stitching using invariant features. International journal of computer vision, 74(1):59–73, 2007.

[12]

Thomas Brox, Andres Bruhn, Nils Papenberg, and Joachim Weickert. High accuracy optical flow estimation based on a theory for warping. In Computer Vision-ECCV 2004, pages 25–36. Springer, 2004.

[13]

Peter J Burt and Edward H Adelson. A multiresolution spline with application to image mosaics. ACM Transactions on Graphics (TOG), 2(4):217–236, 1983.

[14]

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

[15]

Antonin Chambolle, Vicent Caselles, Daniel Cremers, Matteo Novaga, and Thomas Pock. An introduction to total variation for image analysis. Theoretical foundations and numerical methods for sparse recovery, 9:263–340, 2010.

[16]

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.

[17]

Navneet Dalal and Bill Triggs. Histograms of oriented gradients for human detection. In Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, volume 1, pages 886–893. IEEE, 2005.

[18]

Paul E Debevec and Jitendra Malik. Recovering high dynamic range radiance maps from photographs. In ACM SIGGRAPH 2008 classes, page 31. ACM, 2008.

[19]

Frédéric Drago, Karol Myszkowski, Thomas Annen, and Norishige Chiba. Adaptive logarithmic mapping for displaying high contrast scenes. In Computer Graphics Forum, volume 22, pages 419–426. Wiley Online Library, 2003.

[20]

Frédo Durand and Julie Dorsey. Fast bilateral filtering for the display of high-dynamic-range images. In ACM Transactions on Graphics (TOG), volume 21, pages 257–266. ACM, 2002.

[21]

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.

[22]

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

[23]

Sina Farsiu, Dirk Robinson, Michael Elad, and Peyman Milanfar. Fast and robust super-resolution. In Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on, volume 2, pages II–291. IEEE, 2003.

[24]

Raanan Fattal, Dani Lischinski, and Michael Werman. Gradient domain high dynamic range compression. In ACM Transactions on Graphics (TOG), volume 21, pages 249–256. ACM, 2002.

[25]

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

[26]

Pedro F Felzenszwalb and Daniel P Huttenlocher. Efficient belief propagation for early vision. International journal of computer vision, 70(1):41–54, 2006.

[27]

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.

[28]

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.

[29]

Jerome Friedman, Trevor Hastie, and Robert Tibshirani. Additive logistic regression: a statistical view of boosting. 1998.

[30]

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.

[31]

Eduardo SL Gastal and Manuel M Oliveira. Domain transform for edge-aware image and video processing. In ACM Transactions on Graphics (TOG), volume 30, page 69. ACM, 2011.

[32]

Pascal Getreuer. Malvar-he-cutler linear image demosaicking. Image Processing on Line, 2011.

[33]

Andrew B Godbehere, Akihiro Matsukawa, and Ken Goldberg. Visual tracking of human visitors under variable-lighting conditions for a responsive audio art installation. In American Control Conference (ACC), 2012, pages 4305–4312. IEEE, 2012.

[34]

Matthias Grundmann, Vivek Kwatra, and Irfan Essa. Auto-directed video stabilization with robust l1 optimal camera paths. In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pages 225–232. IEEE, 2011.

[35]

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

[36]

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

[37]

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

[38]

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.

[39]

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

[40]

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

[41]

Pakorn KaewTraKulPong and Richard Bowden. An improved adaptive background mixture model for real-time tracking with shadow detection. In Video-Based Surveillance Systems, pages 135–144. Springer, 2002.

[42]

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.

[43]

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

[44]

Vivek Kwatra, Arno Schödl, Irfan Essa, Greg Turk, and Aaron Bobick. Graphcut textures: image and video synthesis using graph cuts. In ACM Transactions on Graphics (ToG), volume 22, pages 277–286. ACM, 2003.

[45]

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.

[46]

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.

[47]

Liyuan Li, Weimin Huang, Irene YH Gu, and Qi Tian. Foreground object detection from videos containing complex background. In Proceedings of the eleventh ACM international conference on Multimedia, pages 2–10. ACM, 2003.

[48]

Shengcai Liao, Xiangxin Zhu, Zhen Lei, Lun Zhang, and Stan Z Li. Learning multi-scale block local binary patterns for face recognition. In Advances in Biometrics, pages 828–837. Springer, 2007.

[49]

Rainer Lienhart and Jochen Maydt. An extended set of haar-like features for rapid object detection. In Image Processing. 2002. Proceedings. 2002 International Conference on, volume 1, pages I–900. IEEE, 2002.

[50]

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.

[51]

Cewu Lu, Li Xu, and Jiaya Jia. Contrast preserving decolorization. In Computational Photography (ICCP), 2012 IEEE International Conference on, pages 1–7. IEEE, 2012.

[52]

"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".

[53]

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

[54]

Rafal Mantiuk, Karol Myszkowski, and Hans-Peter Seidel. A perceptual framework for contrast processing of high dynamic range images. ACM Transactions on Applied Perception (TAP), 3(3):286–308, 2006.

[55]

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.

[56]

Yasuyuki Matsushita, Eyal Ofek, Weina Ge, Xiaoou Tang, and Heung-Yeung Shum. Full-frame video stabilization with motion inpainting. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 28(7):1150–1163, 2006.

[57]

Tom Mertens, Jan Kautz, and Frank Van Reeth. Exposure fusion. In Computer Graphics and Applications, 2007. PG'07. 15th Pacific Conference on, pages 382–390. IEEE, 2007.

[58]

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

[59]

Dennis Mitzel, Thomas Pock, Thomas Schoenemann, and Daniel Cremers. Video super resolution using duality based tv-l 1 optical flow. In Pattern Recognition, pages 432–441. Springer, 2009.

[60]

Alexander Mordvintsev. Rof and tv-l1 denoising with primal-dual algorithm.

[61]

Marius Muja and David G Lowe. Fast approximate nearest neighbors with automatic algorithm configuration. In VISAPP (1), pages 331–340, 2009.

[62]

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

[63]

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.

[64]

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.

[65]

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.

[66]

Patrick Pérez, Michel Gangnet, and Andrew Blake. Poisson image editing. In ACM Transactions on Graphics (TOG), volume 22, pages 313–318. ACM, 2003.

[67]

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.

[68]

Erik Reinhard and Kate Devlin. Dynamic range reduction inspired by photoreceptor physiology. Visualization and Computer Graphics, IEEE Transactions on, 11(1):13–24, 2005.

[69]

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.

[70]

Mark A Robertson, Sean Borman, and Robert L Stevenson. Dynamic range improvement through multiple exposures. In Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on, volume 3, pages 159–163. IEEE, 1999.

[71]

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

[72]

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.

[73]

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

[74]

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.

[75]

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

[76]

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.

[77]

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

[78]

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

[79]

Henrik Stewenius. Calibrated fivepoint solver.

[80]

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.

[81]

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.

[82]

Alexandru Telea. An image inpainting technique based on the fast marching method. Journal of graphics tools, 9(1):23–34, 2004.

[83]

Hastie Trevor, Tibshirani Robert, and Friedman Jerome. The elements of statistical learning: data mining, inference and prediction. New York: Springer-Verlag, 1(8):371–406, 2001.

[84]

Matthew Uyttendaele, Ashley Eden, and R Skeliski. Eliminating ghosting and exposure artifacts in image mosaics. In Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on, volume 2, pages II–509. IEEE, 2001.

[85]

Antoine Vacavant, Thierry Chateau, Alexis Wilhelm, and Laurent Lequièvre. A benchmark dataset for outdoor foreground/background extraction. In Computer Vision-ACCV 2012 Workshops, pages 291–300. Springer, 2013.

[86]

Lieven Vandenberghe. Qr factorization.

[87]

Paul Viola and Michael J. Jones. Rapid object detection using a boosted cascade of simple features. In Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on, volume 1, pages I–511. IEEE, 2001.

[88]

Paul Viola and Michael J. Jones. Robust real-time face detection. International Journal of Computer Vision, 57(2):137–154, 2004.

[89]

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

[90]

Greg Ward. Fast, robust image registration for compositing high dynamic range photographs from hand-held exposures. Journal of graphics tools, 8(2):17–30, 2003.

[91]

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

[92]

Wei Xu and Jane Mulligan. Performance evaluation of color correction approaches for automatic multi-view image and video stitching. In Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pages 263–270. IEEE, 2010.

[93]

Qingxiong Yang, Liang Wang, and Narendra Ahuja. A constant-space belief propagation algorithm for stereo matching. In Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pages 1458–1465. IEEE, 2010.

[94]

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.

[95]

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.

[96]

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

[97]

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.

[98]

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.