Dense estimation and object-based segmentation of the optical flow with robust techniques
暂无分享,去创建一个
[1] Patrick Pérez,et al. Motion detection and tracking using deformable templates , 1994, Proceedings of 1st International Conference on Image Processing.
[2] Paolo Nesi,et al. Variational approach to optical flow estimation managing discontinuities , 1993, Image Vis. Comput..
[3] Michel Barlaud,et al. Deterministic edge-preserving regularization in computed imaging , 1997, IEEE Trans. Image Process..
[4] P. Holland,et al. Robust regression using iteratively reweighted least-squares , 1977 .
[5] Rachid Deriche,et al. Optical-Flow Estimation while Preserving Its Discontinuities: A Variational Approach , 1995, ACCV.
[6] Patrick Pérez,et al. Parallelized robust multiresolution motion estimation , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[7] Michael J. Black. Recursive Non-Linear Estimation of Discontinuous Flow Fields , 1994, ECCV.
[8] Patrick Bouthemy,et al. Multimodal Estimation of Discontinuous Optical Flow using Markov Random Fields , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[9] Frederic Fol Leymarie,et al. Tracking Deformable Objects in the Plane Using an Active Contour Model , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Michael J. Black,et al. The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields , 1996, Comput. Vis. Image Underst..
[11] Stuart Geman,et al. Statistical methods for tomographic image reconstruction , 1987 .
[12] Michel Barlaud,et al. Motion estimation involving discontinuities in a multiresolution scheme , 1992, Other Conferences.
[13] P. Anandan,et al. Hierarchical Model-Based Motion Estimation , 1992, ECCV.
[14] Luc Van Gool,et al. Determination of Optical Flow and its Discontinuities using Non-Linear Diffusion , 1994, ECCV.
[15] Michael J. Black,et al. Estimating Optical Flow in Segmented Images Using Variable-Order Parametric Models With Local Deformations , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[16] Donald Geman,et al. Constrained Restoration and the Recovery of Discontinuities , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[17] Michael J. Black. Robust incremental optical flow , 1992 .
[18] Wilfried Enkelmann,et al. Investigations of multigrid algorithms for the estimation of optical flow fields in image sequences , 1988, Comput. Vis. Graph. Image Process..
[19] P. Pérez,et al. Multiscale minimization of global energy functions in some visual recovery problems , 1994 .
[20] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Charles Kervrann,et al. A hierarchical statistical framework for the segmentation of deformable objects in image sequences , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[22] Harry Shum,et al. Motion estimation with quadtree splines , 1995, Proceedings of IEEE International Conference on Computer Vision.
[23] Christoph Schnörr,et al. Motion-Based Identification of Deformable Templates , 1995, CAIP.
[24] Wladimir Peckar,et al. Motion-based Identiication of Deformable Templates , 1995 .
[25] L. Blanc-Féraud,et al. Motion estimation involving discontinuities in multiresolution scheme , 1993 .
[26] Jun Zhang,et al. The application of mean field theory to image motion estimation , 1995, IEEE Trans. Image Process..
[27] Kazuhiko Yamamoto,et al. Motion Tracking of Deformable Objects by Active Contour Models Using Multiscale Dynamic Programming , 1993, J. Vis. Commun. Image Represent..
[28] Isabelle Herlin,et al. Optical Flow and Phase Portrait Methods for Environmental Satellite Image Sequences , 1996, ECCV.
[29] F. Heitz,et al. Eecient Parallel Non-linear Multigrid Relaxation Algorithms for Low-level Vision Applications Eecient Parallel Non-linear Multigrid Relaxation Algorithms for Low-level Vision Applications , 2007 .
[30] Eric Dubois,et al. Bayesian Estimation of Motion Vector Fields , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[31] Christoph Stiller,et al. Object-based estimation of dense motion fields , 1997, IEEE Trans. Image Process..
[32] Andrew Blake,et al. Visual Reconstruction , 1987, Deep Learning for EEG-Based Brain–Computer Interfaces.