Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library
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[1] E. C. Titchmarsh. The Zeros of Certain Integral Functions , 1926 .
[2] P. Mahalanobis. On the generalized distance in statistics , 1936 .
[3] A. Bhattacharyya. On a measure of divergence between two statistical populations defined by their probability distributions , 1943 .
[4] A. Keen. The principles of television reception , 1949 .
[5] J. G. Semple,et al. Algebraic Projective Geometry , 1953 .
[6] P.V.C. Hough,et al. Machine Analysis of Bubble Chamber Pictures , 1959 .
[7] Marvin Minsky,et al. Steps toward Artificial Intelligence , 1995, Proceedings of the IRE.
[8] M. E. Maron,et al. Automatic Indexing: An Experimental Inquiry , 1961, JACM.
[9] A. Papoulis,et al. The Fourier Integral and Its Applications , 1963 .
[10] J. Tukey,et al. An algorithm for the machine calculation of complex Fourier series , 1965 .
[11] Duane C. Brown,et al. Close-Range Camera Calibration , 1971 .
[12] Richard O. Duda,et al. Use of the Hough transformation to detect lines and curves in pictures , 1972, CACM.
[13] Keinosuke Fukunaga,et al. Introduction to Statistical Pattern Recognition , 1972 .
[14] Azriel Rosenfeld,et al. Angle Detection on Digital Curves , 1973, IEEE Transactions on Computers.
[15] David H. Douglas,et al. ALGORITHMS FOR THE REDUCTION OF THE NUMBER OF POINTS REQUIRED TO REPRESENT A DIGITIZED LINE OR ITS CARICATURE , 1973 .
[16] Julius T. Tou,et al. Pattern Recognition Principles , 1974 .
[17] N. Ahmed,et al. Discrete Cosine Transform , 1996 .
[18] Jack Sklansky,et al. Finding circles by an array of accumulators , 1975, Commun. ACM.
[19] Anil K. Jain. A Fast Karhunen-Loeve Transform for Digital Restoration of Images Degraded by White and Colored Noise , 1977, IEEE Transactions on Computers.
[20] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[21] Eric L. Schwartz,et al. Computational anatomy and functional architecture of striate cortex: A spatial mapping approach to perceptual coding , 1980, Vision Research.
[22] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[23] Dana H. Ballard,et al. Generalizing the Hough transform to detect arbitrary shapes , 1981, Pattern Recognit..
[24] S. Laughlin. A Simple Coding Procedure Enhances a Neuron's Information Capacity , 1981, Zeitschrift fur Naturforschung. Section C, Biosciences.
[25] Takeo Kanade,et al. An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.
[26] Berthold K. P. Horn,et al. Determining Optical Flow , 1981, Other Conferences.
[27] S. P. Lloyd,et al. Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.
[28] G. Lakoff,et al. Metaphors We Live by , 1981 .
[29] Jean Serra,et al. Image Analysis and Mathematical Morphology , 1983 .
[30] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[31] Edward H. Adelson,et al. The Laplacian Pyramid as a Compact Image Code , 1983, IEEE Trans. Commun..
[32] C.E. Shannon,et al. Communication in the Presence of Noise , 1949, Proceedings of the IRE.
[33] P. Rousseeuw. Least Median of Squares Regression , 1984 .
[34] Tom Duff,et al. Compositing digital images , 1984, SIGGRAPH.
[35] Edward H. Adelson,et al. PYRAMID METHODS IN IMAGE PROCESSING. , 1984 .
[36] Keiichi Abe,et al. Topological structural analysis of digitized binary images by border following , 1985, Comput. Vis. Graph. Image Process..
[37] Don H. Johnson,et al. Gauss and the history of the fast Fourier transform , 1985 .
[38] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[39] D. C. Brown,et al. Lens distortion for close-range photogrammetry , 1986 .
[40] Gunilla Borgefors,et al. Distance transformations in digital images , 1986, Comput. Vis. Graph. Image Process..
[41] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[42] Roger Y. Tsai,et al. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses , 1987, IEEE J. Robotics Autom..
[43] Stephen Grossberg,et al. Competitive Learning: From Interactive Activation to Adaptive Resonance , 1987, Cogn. Sci..
[44] Peter J. Rousseeuw,et al. Robust Regression and Outlier Detection , 2005, Wiley Series in Probability and Statistics.
[45] Christopher G. Harris,et al. A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.
[46] J. Rodgers,et al. Thirteen ways to look at the correlation coefficient , 1988 .
[47] J. L. Hodges,et al. Discriminatory Analysis - Nonparametric Discrimination: Consistency Properties , 1989 .
[48] Roland T. Chin,et al. On the Detection of Dominant Points on Digital Curves , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[49] Paul S. Heckbert,et al. A seed fill algorithm , 1990 .
[50] Michael J. Black. Robust incremental optical flow , 1992 .
[51] F. Meyer,et al. Color image segmentation , 1992 .
[52] Michael J. Black,et al. A framework for the robust estimation of optical flow , 1993, 1993 (4th) International Conference on Computer Vision.
[53] Daniel P. Huttenlocher,et al. Comparing Images Using the Hausdorff Distance , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[54] Martin A. Riedmiller,et al. A direct adaptive method for faster backpropagation learning: the RPROP algorithm , 1993, IEEE International Conference on Neural Networks.
[55] O. Faugeras. Three-dimensional computer vision: a geometric viewpoint , 1993 .
[56] Carlo Tomasi,et al. Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[57] Matti Pietikäinen,et al. Performance evaluation of texture measures with classification based on Kullback discrimination of distributions , 1994, Proceedings of 12th International Conference on Pattern Recognition.
[58] Andrew W. Fitzgibbon,et al. A Buyer's Guide to Conic Fitting , 1995, BMVC.
[59] William T. Freeman,et al. Orientation Histograms for Hand Gesture Recognition , 1995 .
[60] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[61] Bernt Schiele,et al. Object Recognition Using Multidimensional Receptive Field Histograms , 1996, ECCV.
[62] Gang Xu,et al. Epipolar Geometry in Stereo, Motion and Object Recognition , 1996, Computational Imaging and Vision.
[63] Alexander J. Smola,et al. Support Vector Regression Machines , 1996, NIPS.
[64] Michael J. Black,et al. The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields , 1996, Comput. Vis. Image Underst..
[65] James W. Davis,et al. Real-time recognition of activity using temporal templates , 1996, Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96.
[66] James W. Davis,et al. The Representation and Recognition of Action Using Temporal Templates , 1997, CVPR 1997.
[67] Janne Heikkilä,et al. A four-step camera calibration procedure with implicit image correction , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[68] Zhengyou Zhang,et al. Parameter estimation techniques: a tutorial with application to conic fitting , 1997, Image Vis. Comput..
[69] Bernd Jähne,et al. Practical handbook on image processing for scientific applications , 1997 .
[70] Valerio Pascucci,et al. Contour trees and small seed sets for isosurface traversal , 1997, SCG '97.
[71] Valerio Pascucci,et al. The contour spectrum , 1997, Proceedings. Visualization '97 (Cat. No. 97CB36155).
[72] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[73] Gary R. Bradski,et al. Real time face and object tracking as a component of a perceptual user interface , 1998, Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201).
[74] Emanuele Trucco,et al. Introductory techniques for 3-D computer vision , 1998 .
[75] Kurt Konolige,et al. Small Vision Systems: Hardware and Implementation , 1998 .
[76] Gary Bradski,et al. Computer Vision Face Tracking For Use in a Perceptual User Interface , 1998 .
[77] Mark Hedley,et al. Fast corner detection , 1998, Image Vis. Comput..
[78] Roberto Manduchi,et al. Bilateral filtering for gray and color images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[79] Stephen J. Maybank,et al. On plane-based camera calibration: A general algorithm, singularities, applications , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[80] Kentaro Toyama,et al. Wallflower: principles and practice of background maintenance , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[81] Gary Bradski,et al. Real-time Motion Template Gradients using Intel CVLib , 1999 .
[82] M. Pollefeys. Self-calibration and metric 3d reconstruction from uncalibrated image sequences , 1999 .
[83] Zhengyou Zhang,et al. Flexible camera calibration by viewing a plane from unknown orientations , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[84] Dorin Comaniciu,et al. Mean shift analysis and applications , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[85] Reinhard Koch,et al. A simple and efficient rectification method for general motion , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[86] Nando de Freitas,et al. The Unscented Particle Filter , 2000, NIPS.
[87] Zhengyou Zhang,et al. A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[88] G. Marsaglia,et al. The Ziggurat Method for Generating Random Variables , 2000 .
[89] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[90] Bernhard Schölkopf,et al. New Support Vector Algorithms , 2000, Neural Computation.
[91] Gary R. Bradski,et al. Motion segmentation and pose recognition with motion history gradients , 2000, Proceedings Fifth IEEE Workshop on Applications of Computer Vision.
[92] Hanno Scharr,et al. Optimal operators in digital image processing , 2000 .
[93] Jiri Matas,et al. Robust Detection of Lines Using the Progressive Probabilistic Hough Transform , 2000, Comput. Vis. Image Underst..
[94] Bernhard P. Wrobel,et al. Multiple View Geometry in Computer Vision , 2001 .
[95] Radek Grzeszczuk,et al. A data-driven model for monocular face tracking , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[96] Olga Veksler,et al. Fast Approximate Energy Minimization via Graph Cuts , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[97] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[98] T. Başar,et al. A New Approach to Linear Filtering and Prediction Problems , 2001 .
[99] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[100] Bernd Girod,et al. Model-based face tracking for view-independent facial expression recognition , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.
[101] Valerio Pascucci,et al. Efficient computation of the topology of level sets , 2002, IEEE Visualization, 2002. VIS 2002..
[102] P. KaewTrakulPong,et al. An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection , 2002 .
[103] Jean Ponce,et al. Computer Vision: A Modern Approach , 2002 .
[104] Rainer Lienhart,et al. An extended set of Haar-like features for rapid object detection , 2002, Proceedings. International Conference on Image Processing.
[105] Sanjit K. Mitra,et al. Using saddle points for subpixel feature detection in camera calibration targets , 2002, Asia-Pacific Conference on Circuits and Systems.
[106] Mark Goresky,et al. Efficient multiply-with-carry random number generators with maximal period , 2003, TOMC.
[107] R. Bracewell. Two-Dimensional Convolution , 2003 .
[108] Dorin Comaniciu,et al. Nonparametric information fusion for motion estimation , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[109] Joseph Revelli,et al. The Image Processing Handbook, 4th Edition , 2003, J. Electronic Imaging.
[110] Gunnar Farnebäck,et al. Two-Frame Motion Estimation Based on Polynomial Expansion , 2003, SCIA.
[111] Kentaro Inui,et al. Robust line fitting using LMedS clustering , 2003, Systems and Computers in Japan.
[112] Jianliang Tang,et al. Complete Solution Classification for the Perspective-Three-Point Problem , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[113] J. L. Roux. An Introduction to the Kalman Filter , 2003 .
[114] Harry Zhang,et al. The Optimality of Naive Bayes , 2004, FLAIRS.
[115] Azriel Rosenfeld,et al. Robust regression methods for computer vision: A review , 1991, International Journal of Computer Vision.
[116] Wolfgang Effelsberg,et al. Video-object segmentation using multi-sprite background subtraction , 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).
[117] Bülent Sankur,et al. Survey over image thresholding techniques and quantitative performance evaluation , 2004, J. Electronic Imaging.
[118] Michael J. Swain,et al. Color indexing , 1991, International Journal of Computer Vision.
[119] Alexandru Telea,et al. An Image Inpainting Technique Based on the Fast Marching Method , 2004, J. Graphics, GPU, & Game Tools.
[120] Kunihiko Fukushima,et al. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position , 1980, Biological Cybernetics.
[121] Carlo Tomasi,et al. Depth Discontinuities by Pixel-to-Pixel Stereo , 1999, International Journal of Computer Vision.
[122] Gabriela Csurka,et al. Visual categorization with bags of keypoints , 2002, eccv 2004.
[123] Pedro F. Felzenszwalb,et al. Efficient belief propagation for early vision , 2004, CVPR 2004.
[124] Leonidas J. Guibas,et al. The Earth Mover's Distance as a Metric for Image Retrieval , 2000, International Journal of Computer Vision.
[125] Zoran Zivkovic,et al. Improved adaptive Gaussian mixture model for background subtraction , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[126] M. Nikolova. An Algorithm for Total Variation Minimization and Applications , 2004 .
[127] Andrew Blake,et al. "GrabCut" , 2004, ACM Trans. Graph..
[128] Richard I. Hartley,et al. Theory and Practice of Projective Rectification , 1999, International Journal of Computer Vision.
[129] Guillermo Sapiro,et al. Fast image and video denoising via nonlocal means of similar neighborhoods , 2005, IEEE Signal Processing Letters.
[130] Guangjun Zhang,et al. A New Sub-Pixel Detector for X-Corners in Camera Calibration Targets , 2005, WSCG.
[131] Jiri Matas,et al. WaldBoost - learning for time constrained sequential detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[132] Larry S. Davis,et al. Real-time foreground-background segmentation using codebook model , 2005, Real Time Imaging.
[133] Wolfram Burgard,et al. Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) , 2005 .
[134] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[135] Kesheng Wu,et al. Two Strategies to Speed up Connected Component Labeling Algorithms , 2005 .
[136] Larry S. Davis,et al. Model-based object pose in 25 lines of code , 1992, International Journal of Computer Vision.
[137] Tinku Acharya,et al. Image Processing: Principles and Applications , 2005, J. Electronic Imaging.
[138] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[139] Ferdinand van der Heijden,et al. Efficient adaptive density estimation per image pixel for the task of background subtraction , 2006, Pattern Recognit. Lett..
[140] Wen Gao,et al. Nonparametric Background Generation , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[141] Sebastian Thrun,et al. Self-supervised Monocular Road Detection in Desert Terrain , 2006, Robotics: Science and Systems.
[142] Horst Bischof,et al. A Duality Based Approach for Realtime TV-L1 Optical Flow , 2007, DAGM-Symposium.
[143] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[144] Vincent Lepetit,et al. Accurate Non-Iterative O(n) Solution to the PnP Problem , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[145] Thomas Hofmann,et al. Map-Reduce for Machine Learning on Multicore , 2007 .
[146] Christoforos E. Kozyrakis,et al. Evaluating MapReduce for Multi-core and Multiprocessor Systems , 2007, 2007 IEEE 13th International Symposium on High Performance Computer Architecture.
[147] Sergei Vassilvitskii,et al. k-means++: the advantages of careful seeding , 2007, SODA '07.
[148] Andrea Fusiello,et al. Video Objects Segmentation by Robust Background Modeling , 2007, 14th International Conference on Image Analysis and Processing (ICIAP 2007).
[149] Dani Lischinski,et al. Joint bilateral upsampling , 2007, SIGGRAPH 2007.
[150] Zhe Wang,et al. Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search , 2007, VLDB.
[151] Richard E. Neapolitan,et al. Learning Bayesian networks , 2007, KDD '07.
[152] H. Hirschmüller. Stereo Processing by Semiglobal Matching and Mutual Information , 2008, IEEE Trans. Pattern Anal. Mach. Intell..
[153] Kurt Konolige,et al. CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching , 2008, ECCV.
[154] Nir Friedman,et al. Probabilistic Graphical Models , 2009, Data-Driven Computational Neuroscience.
[155] David G. Lowe,et al. Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration , 2009, VISAPP.
[156] Christopher Hunt,et al. Notes on the OpenSURF Library , 2009 .
[157] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[158] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[159] Vincent Lepetit,et al. BRIEF: Binary Robust Independent Elementary Features , 2010, ECCV.
[160] Darius Burschka,et al. Adaptive and Generic Corner Detection Based on the Accelerated Segment Test , 2010, ECCV.
[161] Stephen Grossberg,et al. Adaptive Resonance Theory , 2010, Encyclopedia of Machine Learning.
[162] Jitendra Malik,et al. Shape matching and object recognition using shape contexts , 2010, 2010 3rd International Conference on Computer Science and Information Technology.
[163] Luca Maria Gambardella,et al. Convolutional Neural Network Committees for Handwritten Character Classification , 2011, 2011 International Conference on Document Analysis and Recognition.
[164] Roland Siegwart,et al. BRISK: Binary Robust invariant scalable keypoints , 2011, 2011 International Conference on Computer Vision.
[165] Gary R. Bradski,et al. ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.
[166] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[167] Sylvain Paris,et al. SimpleFlow: A Non‐iterative, Sublinear Optical Flow Algorithm , 2012, Comput. Graph. Forum.
[168] Klaus-Robert Müller,et al. Efficient BackProp , 2012, Neural Networks: Tricks of the Trade.
[169] Pierre Vandergheynst,et al. FREAK: Fast Retina Keypoint , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[170] Javier Sánchez Pérez,et al. TV-L1 Optical Flow Estimation , 2013, Image Process. Line.
[171] Francisco José Madrid-Cuevas,et al. Automatic generation and detection of highly reliable fiducial markers under occlusion , 2014, Pattern Recognit..
[172] Robert Laganière,et al. A fast and robust homography scheme for real-time planar target detection , 2018, Journal of Real-Time Image Processing.
[173] Mandy Eberhart,et al. Decision Forests For Computer Vision And Medical Image Analysis , 2016 .
[174] Anil K. Jain. Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.