| OpenCV 3.4.8 Open Source Computer Vision

Bibliography

[1]

  Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Susstrunk. Slic superpixels compared to state-of-the-art superpixel methods. IEEE Trans. Pattern Anal. Mach. Intell., 34(11):2274–2282, nov 2012.

[2]

  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.

[3]

  Timo Ahonen, Abdenour Hadid, and Matti Pietikäinen. Face recognition with local binary patterns. In Computer vision-eccv 2004, pages 469–481. Springer, 2004.

[4]

  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.

[5]

  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.

[6]

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

[7]

  Nicolas Andreff, Radu Horaud, and Bernard Espiau. On-line hand-eye calibration. In Proceedings of the 2Nd International Conference on 3-D Digital Imaging and Modeling, 3DIM'99, pages 430–436, Washington, DC, USA, 1999. IEEE Computer Society.

[8]

  Relja Arandjelovic. Three things everyone should know to improve object retrieval. In Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CVPR '12, pages 2911–2918, Washington, DC, USA,

  1. IEEE Computer Society.

[9]

  Boris Babenko, Ming-Hsuan Yang, and Serge Belongie. Visual tracking with online multiple instance learning. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pages 983–990. IEEE, 2009.

[10]

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

[11]

  Jonathan T Barron and Ben Poole. The fast bilateral solver. In European Conference on Computer Vision (ECCV), pages 617–632. Springer International Publishing, 2016.

[12]

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

[13]

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

[14]

  Peter N. Belhumeur, João P Hespanha, and David Kriegman. Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 19(7):711–720, 1997.

[15]

  Alexandre Benoit, Alice Caplier, Barthélémy Durette, and Jeanny Hérault. Using human visual system modeling for bio-inspired low level image processing. Computer vision and Image understanding, 114(7):758–773, 2010.

[16]

  L Berger, V A Raghunathan, C Launay, D Ausserré, and Y Gallot. Coalescence in 2 dimensions: experiments on thin copolymer films and numerical simulations. The European Physical Journal B - Condensed Matter and Complex Systems, 2(1):93–99, 1998.

[17]

  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.

[18]

  Josef Bigun. Vision with direction. Springer, 2006.

[19]

  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.

[20]

  David S. Bolme, J. Ross Beveridge, Bruce A. Draper, and Man Lui Yui. Visual object tracking using adaptive correlation filters. In Conference on Computer Vision and Pattern Recognition (CVPR), 2010.

[21]

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

[22]

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

[23]

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

[24]

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

[25]

  GR Bradski and J Davis. Motion segmentation and pose recognition with motion history gradients. In Applications of Computer Vision, 2000, Fifth IEEE Workshop on., pages 238–244. IEEE, 2000.

[26]

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

[27]

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

[28]

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

[29]

  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.

[30]

  Roberto Brunelli and Tomaso Poggio. Face recognition through geometrical features. In Computer Vision—ECCV'92, pages 792–800. Springer, 1992.

[31]

  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.

[32]

  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.

[33]

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

[34]

  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.

[35]

  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.

[36]

  Fran c cois Chaumette and S. Hutchinson. Visual servo control, Part I: Basic approaches. IEEE Robotics and Automation Magazine, 13(4):82–90, 2006.

[37]

  Ming-Ming Cheng, Ziming Zhang, Wen-Yan Lin, and Philip Torr. Bing: Binarized normed gradients for objectness estimation at 300fps. In IEEE CVPR, 2014.

[38]

  Dongliang Cheng, Brian Price, Scott Cohen, and Michael S Brown. Effective learning-based illuminant estimation using simple features. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 1000–1008, 2015.

[39]

  Hojin Cho, Hyunjoon Lee, Henry Kang, and Seungyong Lee. Bilateral texture filtering. ACM Transactions on Graphics, 33(4):128:1–128:8, July 2014.

[40]

[41]

  Pengyu Cong, Zhiwei Xiong, Yueyi Zhang, Shenghui Zhao, and Feng Wu. Accurate dynamic 3d sensing with fourier-assisted phase shifting. IEEE Journal of Selected Topics in Signal Processing, 9(3):396–408, 2015.

[42]

  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.

[43]

  M. Danelljan, F.S. Khan, M. Felsberg, and J. van de Weijer. Adaptive color attributes for real-time visual tracking. In Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, pages 1090–1097, June 2014.

[44]

  Konstantinos Daniilidis. Hand-eye calibration using dual quaternions. International Journal of Robotics Research, 18:286–298, 1998.

[45]

  James W Davis and Aaron F Bobick. The representation and recognition of human movement using temporal templates. In Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on, pages 928–934. IEEE, 1997.

[46]

  Brice Chaix De Lavarène, David Alleysson, Barthélémy Durette, and Jeanny Hérault. Efficient demosaicing through recursive filtering. In Image Processing, 2007. ICIP 2007. IEEE International Conference on, volume 2, pages II–189. IEEE, 2007.

[47]

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

[48]

  Ferdinando Di Martino, Vincenzo Loia, Irina Perfilieva, and Salvatore Sessa. An image coding/decoding method based on direct and inverse fuzzy transforms. International Journal of Approximate Reasoning, 48(1):110–131, 2008.

[49]

  Piotr Dollár and C Lawrence Zitnick. Structured forests for fast edge detection. In Computer Vision (ICCV), 2013 IEEE International Conference on, pages 1841–1848. IEEE, 2013.

[50]

  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, 2003.

[51]

  Bertram Drost and Slobodan Ilic. 3d object detection and localization using multimodal point pair features. In 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2012 Second International Conference on, pages 9–16. IEEE, 2012.

[52]

  Richard O Duda, Peter E Hart, and David G Stork. Pattern classification. John Wiley & Sons, 2012.

[53]

  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.

[54]

  Ethan Eade. Gauss-newton / levenberg-marquardt optimization, 2013.

[55]

  Niki Estner. Best way of segmenting veins in leaves.

[56]

  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.

[57]

  Zeev Farbman, Raanan Fattal, Dani Lischinski, and Richard Szeliski. Edge-preserving decompositions for multi-scale tone and detail manipulation. In ACM Transactions on Graphics (TOG), volume 27, page 67. ACM, 2008.

[58]

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

[59]

  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.

[60]

  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.

[61]

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

[62]

  Pedro F Felzenszwalb and Daniel P Huttenlocher. Efficient graph-based image segmentation. volume 59, pages 167–181. Springer, 2004.

[63]

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

[64]

  Pedro F Felzenszwalb, Ross B Girshick, and David McAllester. Cascade object detection with deformable part models. In Computer vision and pattern recognition (CVPR), 2010 IEEE conference on, pages 2241–2248. IEEE, 2010.

[65]

  Pedro F Felzenszwalb, Ross B Girshick, David McAllester, and Deva Ramanan. Object detection with discriminatively trained part-based models. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 32(9):1627–1645, 2010.

[66]

  Ronald A Fisher. The use of multiple measurements in taxonomic problems. Annals of eugenics, 7(2):179–188, 1936.

[67]

  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.

[68]

  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.

[69]

  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.

[70]

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

[71]

  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.

[72]

  S. Garrido-Jurado, R. Mu noz Salinas, F.J. Madrid-Cuevas, and M.J. Marín-Jiménez. Automatic generation and detection of highly reliable fiducial markers under occlusion. Pattern Recognition, 47(6):2280 – 2292, 2014.

[73]

  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.

[74]

  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.

[75]

  Eduardo SL Gastal and Manuel M Oliveira. Adaptive manifolds for real-time high-dimensional filtering. ACM Transactions on Graphics (TOG), 31(4):33, 2012.

[76]

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

[77]

  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.

[78]

  Lluís Gómez and Dimosthenis Karatzas. Multi-script text extraction from natural scenes. In Proceedings of the 2013 12th International Conference on Document Analysis and Recognition, ICDAR '13, pages 467–471. IEEE Computer Society, 2013.

[79]

  Rafael C Gonzalez and others. Digital image fundamentals, digital imaging processing. 1987.

[80]

  Helmut Grabner, Michael Grabner, and Horst Bischof. Real-time tracking via on-line boosting. In BMVC, volume 1, page 6, 2006.

[81]

  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.

[82]

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

[83]

  L. Guo, D. Xu, and Z. Qiang. Background subtraction using local svd binary pattern. In 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 1159–1167, June 2016.

[84]

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

[85]

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

[86]

  Kaiming He and Jian Sun. Statistics of patch offsets for image completion. In Computer Vision–ECCV 2012, pages 16–29. Springer, 2012.

[87]

  Kaiming He, Jian Sun, and Xiaoou Tang. Guided image filtering. In Computer Vision–ECCV 2010, pages 1–14. Springer, 2010.

[88]

  David Held, Sebastian Thrun, and Silvio Savarese. Learning to track at 100 fps with deep regression networks. In European Conference Computer Vision (ECCV), 2016.

[89]

  J. F. Henriques, R. Caseiro, P. Martins, and J. Batista. Exploiting the circulant structure of tracking-by-detection with kernels. In proceedings of the European Conference on Computer Vision, 2012.

[90]

  Kyriakos Herakleous and Charalambos Poullis. 3DUNDERWORLD-SLS: An Open-Source Structured-Light Scanning System for Rapid Geometry Acquisition. arXiv preprint arXiv:1406.6595, 2014.

[91]

  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.

[92]

  S. Hinterstoisser, S. Benhimane, , V. Lepetit, and N. Navab. Simultaneous recognition and homography extraction of local patches with a simple linear classifier. 2008.

[93]

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

[94]

  Radu Horaud and Fadi Dornaika. Hand-eye calibration. Int. J. Rob. Res., 14(3):195–210, June 1995.

[95]

  Xiaodi Hou and Liqing Zhang. Saliency detection: A spectral residual approach. In Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on, pages 1–8. IEEE, 2007.

[96]

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

[97]

  Lluis Gomez i Bigorda and Dimosthenis Karatzas. A fast hierarchical method for multi-script and arbitrary oriented scene text extraction. CoRR, abs/1407.7504, 2014.

[98]

  Bernd Jahne. Computer vision and applications: a guide for students and practitioners. Elsevier, 2000.

[99]

  Herault Jeanny. Vision: Images, Signals and Neural Networks-Models of Neural Processing in Visual Perception. World Scientific, 2010.

[100]

  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.

[101]

  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.

[102]

  Zdenek Kalal, Krystian Mikolajczyk, and Jiri Matas. Forward-backward error: Automatic detection of tracking failures. In Pattern Recognition (ICPR), 2010 20th International Conference on, pages 2756–2759. IEEE, 2010.

[103]

  Zdenek Kalal, Krystian Mikolajczyk, and Jiri Matas. Tracking-learning-detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 34(7):1409–1422, 2012.

[104]

  Takeo Kanade. Picture processing system by computer complex and recognition of human faces. 1974.

[105]

  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.

[106]

  Khurram Khurshid, Imran Siddiqi, Claudie Faure, and Nicole Vincent. Comparison of niblack inspired binarization methods for ancient documents. In IS&T/SPIE Electronic Imaging, pages 72470U–72470U. International Society for Optics and Photonics, 2009.

[107]

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

[108]

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

[109]

  Neal Krawetz. Looks like it.

[110]

  Till Kroeger, Radu Timofte, Dengxin Dai, and Luc Van Gool. Fast optical flow using dense inverse search. In Proceedings of the European Conference on Computer Vision (ECCV), 2016.

[111]

  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.

[112]

  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.

[113]

  Kuang-Chih Lee, Jeffrey Ho, and David Kriegman. Acquiring linear subspaces for face recognition under variable lighting. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 27(5):684–698, 2005.

[114]

  Jin Han Lee, Sehyung Lee, Guoxuan Zhang, Jongwoo Lim, Wan Kyun Chung, and Il Hong Suh. Outdoor place recognition in urban environments using straight lines. In 2014 IEEE International Conference on Robotics and Automation (ICRA), pages 5550–5557. IEEE, 2014.

[115]

  Hai Lei, Xin-yu Chang, Fei Wang, Xiao-Tang Hu, and Xiao-Dong Hu. A novel algorithm based on histogram processing of reliability for two-dimensional phase unwrapping. Optik-International Journal for Light and Electron Optics, 126(18):1640–1644, 2015.

[116]

  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.

[117]

  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.

[118]

  Zhengqin Li and Jiansheng Chen. Superpixel segmentation using linear spectral clustering. June 2015.

[119]

  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.

[120]

  Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony Dick, and Anton Van Den Hengel. A survey of appearance models in visual object tracking. ACM Transactions on Intelligent Systems and Technology (TIST), 4(4):58, 2013.

[121]

  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.

[122]

  Minghui Liao, Baoguang Shi, Xiang Bai, Xinggang Wang, and Wenyu Liu. Textboxes: A fast text detector with a single deep neural network. In AAAI, 2017.

[123]

  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.

[124]

  Joseph J Lim, C Lawrence Zitnick, and Piotr Dollár. Sketch tokens: A learned mid-level representation for contour and object detection. In Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, pages 3158–3165. IEEE, 2013.

[125]

  Yong-Jin Liu, Cheng-Chi Yu, Min-Jing Yu, and Ying He. Intrinsic manifold slic: A simple and efficient method for computing content-sensitive superpixels. volume PP, Washington, DC, USA, mar 2017. IEEE Computer Society.

[126]

  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.

[127]

  Kok-Lim Low. Linear least-squares optimization for point-to-plane icp surface registration. Chapel Hill, University of North Carolina, 2004.

[128]

  David G. Lowe. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision, 60(2):91–110, November 2004.

[129]

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

[130]

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

[131]

  Alan Lukezic, Tom'as Voj'ir, Luka Cehovin Zajc, Jir'i Matas, and Matej Kristan. Discriminative correlation filter tracker with channel and spatial reliability. International Journal of Computer Vision, 2018.

[132]

  Yi Ma, Stefano Soatto, Jana Kosecka, and S. Shankar Sastry. An Invitation to 3-D Vision: From Images to Geometric Models. Springer, 2003.

[133]

  K. Madsen, H. B. Nielsen, and O. Tingleff. Methods for non-linear least squares problems (2nd ed.), 2004.

[134]

  Elmar Mair, Gregory D. Hager, Darius Burschka, Michael Suppa, and Gerhard Hirzinger. Adaptive and generic corner detection based on the accelerated segment test. In European Conference on Computer Vision (ECCV'10), September 2010.

[135]

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

[136]

  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.

[137]

  Eric Marchand, Hideaki Uchiyama, and Fabien Spindler. Pose Estimation for Augmented Reality: A Hands-On Survey. IEEE Transactions on Visualization and Computer Graphics, 22(12):2633 – 2651, December 2016.

[138]

  Aleix M Martínez and Avinash C Kak. Pca versus lda. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 23(2):228–233, 2001.

[139]

  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.

[140]

  Wolfram Mathematica. Ridge filter mathematica.

[141]

  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.

[142]

  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.

[143]

  Kieron Messer, Josef Kittler, James Short, Guillaume Heusch, Fabien Cardinaux, Sebastien Marcel, Yann Rodriguez, Shiguang Shan, Yu Su, Wen Gao, and others. Performance characterisation of face recognition algorithms and their sensitivity to severe illumination changes. In Advances in Biometrics, pages 1–11. Springer, 2005.

[144]

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

[145]

  Laurence Meylan, David Alleysson, and Sabine Süsstrunk. Model of retinal local adaptation for the tone mapping of color filter array images. JOSA A, 24(9):2807–2816, 2007.

[146]

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

[147]

  Dongbo Min, Sunghwan Choi, Jiangbo Lu, Bumsub Ham, Kwanghoon Sohn, and Minh N Do. Fast global image smoothing based on weighted least squares. Image Processing, IEEE Transactions on, 23(12):5638–5653, 2014.

[148]

  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.

[149]

  Sebastian Montabone and Alvaro Soto. Human detection using a mobile platform and novel features derived from a visual saliency mechanism. In Image and Vision Computing, Vol. 28 Issue 3, pages 391–402. Elsevier, 2010.

[150]

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

[151]

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

[152]

  Lukáš Neumann and Jiří Matas. Text localization in real-world images using efficiently pruned exhaustive search. In in Document Analysis and Recognition, 2011 International Conference on. IEEE, 2011, pages 687–691.

[153]

  Neumann, Matas L., and J. Scene text localization and recognition. pages 3538–3545. IEEE, 2012.

[154]

  Wayne Niblack. An introduction to digital image processing. Strandberg Publishing Company, 1985.

[155]

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

[156]

  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.

[157]

  Mohammad Norouzi, Ali Punjani, and David J Fleet. Fast search in hamming space with multi-index hashing. In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pages 3108–3115. IEEE, 2012.

[158]

  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.

[159]

  Philippe Paillou. Detecting step edges in noisy sar images: a new linear operator. IEEE transactions on geoscience and remote sensing, 35(1):191–196, 1997.

[160]

  F. C. Park and B. J. Martin. Robot sensor calibration: solving ax=xb on the euclidean group. IEEE Transactions on Robotics and Automation, 10(5):717–721, Oct

[161]

  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.

[162]

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

[163]

  Irina Perfilieva and Pavel Vlasánek. Image reconstruction by means of F-transform. Knowledge-Based Systems, 70:55–63, 2014.

[164]

  Irina Perfilieva, Petra Hod'áková, and Petr Hurtík. f1-transform edge detector inspired by canny's algorithm. In Advances on Computational Intelligence, pages 230–239. Springer, 2012.

[165]

  Irina Perfilieva, Petra Hodáková, and Petr Hurtík. Differentiation by the F-transform and application to edge detection. Fuzzy Sets and Systems, 2014.

[166]

  Irina Perfilieva. Fuzzy transforms: Theory and applications. Fuzzy sets and systems, 157(8):993–1023, 2006.

[167]

  E Persoon and King-Sun Fu. Shape discrimination using fourier descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence, 7(3):170–179, 1977.

[168]

  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.

[169]

  Sarunas J Raudys and Anil K. Jain. Small sample size effects in statistical pattern recognition: Recommendations for practitioners. IEEE Transactions on pattern analysis and machine intelligence, 13(3):252–264, 1991.

[170]

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

[171]

  Jerome Revaud, Philippe Weinzaepfel, Zaid Harchaoui, and Cordelia Schmid. Epicflow: Edge-preserving interpolation of correspondences for optical flow. In Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, pages 1164–1172, 2015.

[172]

  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.

[173]

  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.

[174]

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

[175]

  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.

[176]

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

[177]

  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.

[178]

  Samuele Salti, Andrea Cavallaro, and Luigi Di Stefano. Adaptive appearance modeling for video tracking: survey and evaluation. Image Processing, IEEE Transactions on, 21(10):4334–4348, 2012.

[179]

  Joaquim Salvi, Jordi Pagés, and Joan Batlle. Pattern codification strategies in structured light systems. Pattern Recognition, 37(4):827–849, April 2004.

[180]

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

[181]

  Jaakko Sauvola, Tapio Seppanen, Sami Haapakoski, and Matti Pietikainen. Adaptive document binarization. In Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on, volume 1, pages 147–152. IEEE, 1997.

[182]

  Marios Savvides, B. V. K. Vijaya Kumar, and P. K. Khosla. Cancelable biometric filters for face recognition. Pattern Recognition, International Conference on, vol. 03, no. , pp. 922-925, 2004,, 03:922–925, 2004.

[183]

  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.

[184]

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

[185]

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

[186]

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

[187]

  Henrik Stewenius. Calibrated fivepoint solver.

[188]

  S.T. Strat, A. Benoit, and P. Lambert. Retina enhanced bag of words descriptors for video classification. In Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European, pages 1307–1311, Sept 2014.

[189]

  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.

[190]

  Richard Szeliski. Image alignment and stitching: A tutorial. Foundations and Trends textregistered in Computer Graphics and Vision, 2(1):1–104, 2006.

[191]

  Richard Szeliski. Computer vision: algorithms and applications. Springer, 2010.

[192]

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

[193]

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

[194]

  Zhenjun Tang, Yumin Dai, and Xianquan Zhang. Perceptual hashing for color images using invariant moments. Appl. Math, 6(2S):643S–650S, 2012.

[195]

  Michael Tao, Jiamin Bai, Pushmeet Kohli, and Sylvain Paris. Simpleflow: A non-iterative, sublinear optical flow algorithm. In Computer Graphics Forum, volume 31, pages 345–353. Wiley Online Library, 2012.

[196]

  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.

[197]

  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.

[198]

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

[199]

  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.

[200]

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

[201]

  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.

[202]

  R. Y. Tsai and R. K. Lenz. A new technique for fully autonomous and efficient 3d robotics hand/eye calibration. IEEE Transactions on Robotics and Automation, 5(3):345–358, June

[203]

  Chiara Turati, Viola Macchi Cassia, Francesca Simion, and Irene Leo. Newborns' face recognition: Role of inner and outer facial features. Child development, 77(2):297–311, 2006.

[204]

  Matthew Turk and Alex Pentland. Eigenfaces for recognition. Journal of cognitive neuroscience, 3(1):71–86, 1991.

[205]

  Jasper RR Uijlings, Koen EA van de Sande, Theo Gevers, and Arnold WM Smeulders. Selective search for object recognition. International journal of computer vision, 104(2):154–171, 2013.

[206]

  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.

[207]

  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.

[208]

  Marek Vajgl, Irina Perfilieva, and Petra Hod'áková. Advanced f-transform-based image fusion. Advances in Fuzzy Systems, 2012:4, 2012.

[209]

  Michael Van den Bergh, Xavier Boix, Gemma Roig, Benjamin de Capitani, and Luc Van Gool. Seeds: Superpixels extracted via energy-driven sampling. In Computer Vision–ECCV 2012, pages 13–26. Springer, 2012.

[210]

  Lucas J Van Vliet and Piet W Verbeek. Estimators for orientation and anisotropy in digitized images. In ASCI, volume 95, pages 16–18, 1995.

[211]

  Lieven Vandenberghe. Qr factorization.

[212]

  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.

[213]

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

[214]

  Pavel Vlasánek and Irina Perfilieva. Patch based inpainting method based on the f1-transform. In Soft Computing and Pattern Recognition (SoCPaR), 2015 7th International Conference of, pages 235–240. IEEE, 2015.

[215]

  Pavel Vlasánek and Irina Perfilieva. The f-transform in terms of image processing tools. Journal of Fuzzy Set Valued Analysis, 2016(1):54–62, 2016.

[216]

  R Grompone Von Gioi, Jeremie Jakubowicz, Jean-Michel Morel, and Gregory Randall. Lsd: A fast line segment detector with a false detection control. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(4):722–732, 2010.

[217]

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

[218]

  Bin Wang and Piotr Dudek. A fast self-tuning background subtraction algorithm. In Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE Conference on, pages 401–404. IEEE, 2014.

[219]

  John Wang and Edwin Olson. AprilTag 2: Efficient and robust fiducial detection. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2016.

[220]

  Shenlong Wang, Sean Ryan Fanello, Christoph Rhemann, Shahram Izadi, and Pushmeet Kohli. The global patch collider. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2016.

[221]

  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.

[222]

  Philippe Weinzaepfel, Jerome Revaud, Zaid Harchaoui, and Cordelia Schmid. Deepflow: Large displacement optical flow with deep matching. In Computer Vision (ICCV), 2013 IEEE International Conference on, pages 1385–1392. IEEE, 2013.

[223]

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

[224]

  Laurenz Wiskott, J-M Fellous, N Kuiger, and Christoph Von Der Malsburg. Face recognition by elastic bunch graph matching. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 19(7):775–779, 1997.

[225]

  Paul Wohlhart and Vincent Lepetit. Learning descriptors for object recognition and 3d pose estimation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015.

[226]

  Christian Wolf and J-M Jolion. Extraction and recognition of artificial text in multimedia documents. Pattern Analysis & Applications, 6(4):309–326, 2004.

[227]

  Yi Wu, Jongwoo Lim, and Ming-Hsuan Yang. Online object tracking: A benchmark. In Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, pages 2411–2418. IEEE, 2013.

[228]

  Jonas Wulff and Michael J. Black. Efficient sparse-to-dense optical flow estimation using a learned basis and layers. In IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2015, June 2015.

[229]

  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.

[230]

  Li Xu, Cewu Lu, Yi Xu, and Jiaya Jia. Image smoothing via l 0 gradient minimization. In ACM Transactions on Graphics (TOG), volume 30, page 174. ACM, 2011.

[231]

  Guang-Zhong Yang, Peter Burger, David N Firmin, and SR Underwood. Structure adaptive anisotropic image filtering. Image and Vision Computing, 14(2):135–145, 1996.

[232]

  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.

[233]

  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.

[234]

  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.

[235]

  Christoph Zauner. Implementation and benchmarking of perceptual image hash functions. 2010.

[236]

  Lilian Zhang and Reinhard Koch. An efficient and robust line segment matching approach based on lbd descriptor and pairwise geometric consistency. Journal of Visual Communication and Image Representation, 24(7):794–805, 2013.

[237]

  Qi Zhang, Xiaoyong Shen, Li Xu, and Jiaya Jia. Rolling guidance filter. In Computer Vision–ECCV 2014, pages 815–830. Springer, 2014.

[238]

  Qi Zhang, Li Xu, and Jiaya Jia. 100+ times faster weighted median filter (wmf). In Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, pages 2830–2837. IEEE, 2014.

[239]

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

[240]

  Wenyi Zhao, Rama Chellappa, P Jonathon Phillips, and Azriel Rosenfeld. Face recognition: A literature survey. Acm Computing Surveys (CSUR), 35(4):399–458, 2003.

[241]

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

[242]

  Timo Zinßer, Jochen Schmidt, and Heinrich Niemann. A refined icp algorithm for robust 3-d correspondence estimation. In Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on, volume 2, pages II–695. IEEE, 2003.

[243]

  C. Lawrence Zitnick and Piotr Dollár. Edge boxes: Locating object proposals from edges. In ECCV, 2014.

[244]

  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.

[245]

  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.

[246]

  И.С. Грузман, В.С. Киричук, В.П. Косых, Г.И. Перетягин, and А.А. Спектор. Цифровая обработка изображений в информационных системах. 2000.