Robust parameter estimation in computer vision: geometric fitting and deformable registration.
暂无分享,去创建一个
[1] Pascal Fua,et al. Reconstructing sharply folding surfaces: A convex formulation , 2009, CVPR.
[2] Konrad Schindler,et al. Multi-target tracking by continuous energy minimization , 2011, CVPR 2011.
[3] Michael R. Lyu,et al. Progressive Finite Newton Approach To Real-time Nonrigid Surface Detection , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Cordelia Schmid,et al. A Performance Evaluation of Local Descriptors , 2005, IEEE Trans. Pattern Anal. Mach. Intell..
[5] Gustavo Carneiro,et al. Flexible Spatial Configuration of Local Image Features , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] J. Warren,et al. Image deformation using moving least squares , 2006, SIGGRAPH 2006.
[7] Albert C. S. Chung,et al. Multi-level non-rigid image registration using graph-cuts , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.
[8] Michael J. Lyons,et al. Coding facial expressions with Gabor wavelets , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.
[9] Vincent Lepetit,et al. Real-time nonrigid surface detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[10] D. Critchlow. Metric Methods for Analyzing Partially Ranked Data , 1986 .
[11] Peter Meer,et al. ROBUST TECHNIQUES FOR COMPUTER VISION , 2004 .
[12] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.
[13] Sabine Van Huffel,et al. Algebraic connections between the least squares and total least squares problems , 1989 .
[14] Haifeng Chen,et al. Robust regression with projection based M-estimators , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[15] B. Ripley,et al. Robust Statistics , 2018, Encyclopedia of Mathematical Geosciences.
[16] Michael R. Lyu,et al. Nonrigid shape recovery by Gaussian process regression , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Andrea Fusiello,et al. Robust Multiple Structures Estimation with J-Linkage , 2008, ECCV.
[18] Jiri Matas,et al. Locally Optimized RANSAC , 2003, DAGM-Symposium.
[19] Bill Triggs,et al. Joint feature distributions for image correspondence , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[20] Michael S. Brown,et al. As-Projective-As-Possible Image Stitching with Moving DLT , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] William Uricchio,et al. The algorithmic turn: photosynth, augmented reality and the changing implications of the image , 2011 .
[22] P. D. Groen. An Introduction to Total Least Squares , 1998, math/9805076.
[23] Marc Alexa,et al. Computing and Rendering Point Set Surfaces , 2003, IEEE Trans. Vis. Comput. Graph..
[24] Matthew Harker,et al. Direct Estimation of Homogeneous Vectors: An Ill-Solved Problem in Computer Vision , 2006, ICVGIP.
[25] Thomas Kailath. A Note on Least-Squares Estimates from Likelihood Ratios , 1968, Inf. Control..
[26] Philip H. S. Torr,et al. VideoTrace: rapid interactive scene modelling from video , 2007, SIGGRAPH 2007.
[27] Vincent Lepetit,et al. Fast Non-Rigid Surface Detection, Registration and Realistic Augmentation , 2008, International Journal of Computer Vision.
[28] Ernesto Brau,et al. A generative statistical model for tracking multiple smooth trajectories , 2011, CVPR 2011.
[29] Tat-Jun Chin,et al. Dynamic and hierarchical multi-structure geometric model fitting , 2011, 2011 International Conference on Computer Vision.
[30] R. Hartley,et al. Multiple-View Geometry under the L 1-Norm , 2007 .
[31] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[32] Reinhard Koch,et al. Visual Modeling with a Hand-Held Camera , 2004, International Journal of Computer Vision.
[33] Matthew A. Brown,et al. Automatic Panoramic Image Stitching using Invariant Features , 2007, International Journal of Computer Vision.
[34] Albert C. S. Chung,et al. Non-rigid Image Registration Using Graph-cuts , 2007, MICCAI.
[35] Jiri Matas,et al. Fixing the Locally Optimized RANSAC , 2012, BMVC.
[36] Norbert Scherer-Negenborn,et al. Model Fitting with Sufficient Random Sample Coverage , 2010, International Journal of Computer Vision.
[37] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[38] Tat-Jun Chin,et al. Accelerated Hypothesis Generation for Multi-structure Robust Fitting , 2010, ECCV.
[39] Daniel Rueckert,et al. Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.
[40] Tat-Jun Chin,et al. The Random Cluster Model for robust geometric fitting , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[41] Xiao-Ming Li,et al. Rejecting Outliers Based on Correspondence Manifold , 2009 .
[42] Silvio Savarese,et al. What are they doing? : Collective activity classification using spatio-temporal relationship among people , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.
[43] Serge J. Belongie,et al. Approximate Thin Plate Spline Mappings , 2002, ECCV.
[44] Andrea Vedaldi,et al. Vlfeat: an open and portable library of computer vision algorithms , 2010, ACM Multimedia.
[45] Sudeep Sarkar,et al. BLOGS: Balanced local and global search for non-degenerate two view epipolar geometry , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[46] Didier Henrion,et al. Globally Optimal Estimates for Geometric Reconstruction Problems , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[47] Jan-Michael Frahm,et al. RANSAC for (Quasi-)Degenerate data (QDEGSAC) , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[48] James L. Crowley,et al. BetaSAC: A New Conditional Sampling For RANSAC , 2010, BMVC.
[49] Tat-Jun Chin,et al. Robust fitting of multiple structures: The statistical learning approach , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[50] Darius Burschka,et al. An Efficient RANSAC for 3D Object Recognition in Noisy and Occluded Scenes , 2010, ACCV.
[51] A. Ardeshir Goshtasby,et al. A comparative study of transformation functions for nonrigid image registration , 2006, IEEE Transactions on Image Processing.
[52] David Levin,et al. The approximation power of moving least-squares , 1998, Math. Comput..
[53] Sabine Van Huffel,et al. Total least squares problem - computational aspects and analysis , 1991, Frontiers in applied mathematics.
[54] Tat-Jun Chin,et al. Accelerated Hypothesis Generation for Multistructure Data via Preference Analysis , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[55] A. Ardeshir Goshtasby. Image Registration: Principles, Tools and Methods , 2012 .
[56] Cordelia Schmid,et al. A Comparison of Affine Region Detectors , 2005, International Journal of Computer Vision.
[57] J. Marden. Analyzing and Modeling Rank Data , 1996 .
[58] G. Stewart,et al. A generalization of the Eckart-Young-Mirsky matrix approximation theorem , 1987 .
[59] Dorin Comaniciu,et al. Real-time tracking of non-rigid objects using mean shift , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[60] Hiroshi Kawakami,et al. Detection of Planar Regions with Uncalibrated Stereo using Distributions of Feature Points , 2004, BMVC.
[61] Peter J. Rousseeuw,et al. Robust regression and outlier detection , 1987 .
[62] Ilan Shimshoni,et al. The modified pbM-estimator method and a runtime analysis technique for the RANSAC family , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[63] Zhengyou Zhang,et al. Parameter estimation techniques: a tutorial with application to conic fitting , 1997, Image Vis. Comput..
[64] Richard I. Hartley,et al. In Defense of the Eight-Point Algorithm , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[65] C. Jacobi. De formatione et proprietatibus Determinatium. , 1841 .
[66] Michael S. Brown,et al. In Defence of RANSAC for Outlier Rejection in Deformable Registration , 2012, ECCV.
[67] Zhanyi Hu,et al. Rejecting Mismatches by Correspondence Function , 2010, International Journal of Computer Vision.
[68] É. Vincent,et al. Detecting planar homographies in an image pair , 2001, ISPA 2001. Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis. In conjunction with 23rd International Conference on Information Technology Interfaces (IEEE Cat..
[69] Rudolf Mester,et al. The Role of Total Least Squares in Motion Analysis , 1998, ECCV.
[70] Matthew Turk,et al. SWIGS: A Swift Guided Sampling Method , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[71] Jiri Matas,et al. Two-view geometry estimation unaffected by a dominant plane , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[72] O. Chum,et al. ENHANCING RANSAC BY GENERALIZED MODEL OPTIMIZATION Onďrej Chum, Jǐ , 2003 .
[73] Torsten Sattler,et al. SCRAMSAC: Improving RANSAC's efficiency with a spatial consistency filter , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[74] P. Rousseeuw. Least Median of Squares Regression , 1984 .
[75] Jitendra Malik,et al. Efficient shape matching using shape contexts , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[76] Slawomir J. Nasuto,et al. NAPSAC: High Noise, High Dimensional Robust Estimation - it's in the Bag , 2002, BMVC.
[77] Adrien Bartoli,et al. Maximizing the Predictivity of Smooth Deformable Image Warps through Cross-Validation , 2008, Journal of Mathematical Imaging and Vision.
[78] Fred L. Bookstein,et al. Principal Warps: Thin-Plate Splines and the Decomposition of Deformations , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[79] Sabine Van Huffel,et al. Consistent fundamental matrix estimation in a quadratic measurement error model arising in motion analysis , 2002, Comput. Stat. Data Anal..
[80] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[81] David W. Murray,et al. Guided-MLESAC: faster image transform estimation by using matching priors , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[82] Andrew Zisserman,et al. Feature Based Methods for Structure and Motion Estimation , 1999, Workshop on Vision Algorithms.
[83] Daniel Pizarro-Perez,et al. Feature-Based Deformable Surface Detection with Self-Occlusion Reasoning , 2011, International Journal of Computer Vision.
[84] Jiri Matas,et al. Matching with PROSAC - progressive sample consensus , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[85] Tom Drummond,et al. Deterministic Sample Consensus with Multiple Match Hypotheses , 2010, BMVC.
[86] Gene H. Golub,et al. An analysis of the total least squares problem , 1980, Milestones in Matrix Computation.
[87] Andrew Zisserman,et al. MLESAC: A New Robust Estimator with Application to Estimating Image Geometry , 2000, Comput. Vis. Image Underst..
[88] Takahiro Okabe,et al. Object recognition based on photometric alignment using RANSAC , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[89] Frank Dellaert,et al. GroupSAC: Efficient consensus in the presence of groupings , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[90] Jiri Matas,et al. Planar Affine Rectification from Change of Scale , 2010, ACCV.
[91] Anders P. Eriksson,et al. Outlier removal using duality , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[92] Andrew Zisserman,et al. Robust computation and parametrization of multiple view relations , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[93] Richard I. Hartley,et al. Multiple-View Geometry Under the {$L_\infty$}-Norm , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[94] Tat-Jun Chin,et al. Sampling Minimal Subsets with Large Spans for Robust Estimation , 2013, International Journal of Computer Vision.
[95] Stephen M. Stigler,et al. The History of Statistics: The Measurement of Uncertainty before 1900 , 1986 .
[96] Calyampudi Radhakrishna Rao,et al. Linear Statistical Inference and its Applications , 1967 .
[97] Tat-Jun Chin,et al. Efficient Multi-structure Robust Fitting with Incremental Top-k Lists Comparison , 2010, ACCV.
[98] Jitendra Malik,et al. Shape matching and object recognition using shape contexts , 2010, 2010 3rd International Conference on Computer Science and Information Technology.
[99] Ilan Shimshoni,et al. Balanced Exploration and Exploitation Model Search for Efficient Epipolar Geometry Estimation , 2008, IEEE Trans. Pattern Anal. Mach. Intell..