Motion segmentation with occlusions on the superpixel graph
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[1] Rachid Deriche,et al. Active unsupervised texture segmentation on a diffusion based feature space , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[2] Michael J. Black,et al. The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields , 1996, Comput. Vis. Image Underst..
[3] Yair Weiss,et al. Smoothness in layers: Motion segmentation using nonparametric mixture estimation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[4] Michael J. Black,et al. Skin and bones: multi-layer, locally affine, optical flow and regularization with transparency , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[5] Daniel Cremers,et al. Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation , 2005, International Journal of Computer Vision.
[6] Berthold K. P. Horn,et al. Determining Optical Flow , 1981, Other Conferences.
[7] Stefano Soatto,et al. On the set of images modulo viewpoint and contrast changes , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Wei Chen,et al. Efficiently Solving the Piecewise Constant Mumford-Shah Model using Graph Cuts , 2005 .
[9] Roberto Cipolla,et al. Principled fusion of high-level model and low-level cues for motion segmentation , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Tony F. Chan,et al. Aspects of Total Variation Regularized L[sup 1] Function Approximation , 2005, SIAM J. Appl. Math..
[11] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[12] Vladimir Kolmogorov,et al. What energy functions can be minimized via graph cuts? , 2002, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Christopher V. Alvino,et al. Reformulating and Optimizing the Mumford-Shah Functional on a Graph - A Faster, Lower Energy Solution , 2008, ECCV.
[14] P. Anandan,et al. Accurate computation of optical flow by using layered motion representations , 1994, Proceedings of 12th International Conference on Pattern Recognition.
[15] Olga Veksler,et al. Fast approximate energy minimization via graph cuts , 2001, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[16] Luc Van Gool,et al. A Probabilistic Approach to Large Displacement Optical Flow and Occlusion Detection , 2004, ECCV Workshop SMVP.
[17] Michael J. Black. Explaining optical flow events with parameterized spatio-temporal models , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[18] Joachim Weickert,et al. A Scale-Space Approach to Nonlocal Optical Flow Calculations , 1999, Scale-Space.
[19] Max A. Viergever,et al. Efficient and reliable schemes for nonlinear diffusion filtering , 1998, IEEE Trans. Image Process..
[20] J. Sethian,et al. FRONTS PROPAGATING WITH CURVATURE DEPENDENT SPEED: ALGORITHMS BASED ON HAMILTON-JACOB1 FORMULATIONS , 2003 .
[21] Nebojsa Jojic,et al. Consistent segmentation for optical flow estimation , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[22] Rachid Deriche,et al. Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[23] Eric Dubois,et al. Bayesian Estimation of Motion Vector Fields , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[24] Adel Said Elmaghraby,et al. Graph cut optimization for the Mumford-Shah model , 2007 .
[25] Patrick Bouthemy,et al. Motion segmentation and qualitative dynamic scene analysis from an image sequence , 1993, International Journal of Computer Vision.
[26] Stefano Soatto,et al. Quick Shift and Kernel Methods for Mode Seeking , 2008, ECCV.
[27] Vladimir Kolmogorov,et al. An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision , 2001, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Rachid Deriche,et al. Optical-Flow Estimation while Preserving Its Discontinuities: A Variational Approach , 1995, ACCV.
[29] Janusz Konrad,et al. Occlusion-Aware Optical Flow Estimation , 2008, IEEE Transactions on Image Processing.
[30] Jian Sun,et al. Symmetric stereo matching for occlusion handling , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[31] Michael J. Black. Combining Intensity and Motion for Incremental Segmentation and Tracking Over Long Image Sequences , 1992, ECCV.
[32] David J. Fleet,et al. Performance of optical flow techniques , 1994, International Journal of Computer Vision.
[33] Christoph Schnörr,et al. Computation of discontinuous optical flow by domain decomposition and shape optimization , 1992, International Journal of Computer Vision.
[34] Hui Cheng,et al. Bilateral Filtering-Based Optical Flow Estimation with Occlusion Detection , 2006, ECCV.