Enhancing accuracy and sharpness of motion field with adaptive scheme and occlusion-aware filter
暂无分享,去创建一个
[1] Hans-Peter Seidel,et al. Complementary Optic Flow , 2009, EMMCVPR.
[2] Chandra Kambhamettu,et al. Hierarchical belief propagation to reduce search space using CUDA for stereo and motion estimation , 2009, 2009 Workshop on Applications of Computer Vision (WACV).
[3] Yücel Altunbasak,et al. Motion estimation using block overlap minimization , 2012, 2012 IEEE 14th International Workshop on Multimedia Signal Processing (MMSP).
[4] Michael J. Black,et al. Layered image motion with explicit occlusions, temporal consistency, and depth ordering , 2010, NIPS.
[5] Steven M. Seitz,et al. Filter flow , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[6] Alfred M. Bruckstein,et al. Over-Parameterized Optical Flow Using a Stereoscopic Constraint , 2011, SSVM.
[7] Jae Wook Jeon,et al. Improving Motion Estimation Using Image-Driven Functions and Hybrid Scheme , 2011, PSIVT.
[8] Frédéric Champagnat,et al. Clarifying the implementation of warping in the combined local global method for optic flow computation , 2010, 2010 18th European Signal Processing Conference.
[9] Timo Kohlberger,et al. Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time , 2005, Scale-Space.
[10] Tristrom Cooke. Two Applications of Graph-Cuts to Image Processing , 2008, 2008 Digital Image Computing: Techniques and Applications.
[11] Daniel P. Huttenlocher,et al. Learning for Optical Flow Using Stochastic Optimization , 2008, ECCV.
[12] Nassir Navab,et al. Optical flow estimation with uncertainties through dynamic MRFs , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[13] J. Weickert,et al. Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods , 2005 .
[14] Thomas Brox,et al. Universität Des Saarlandes Fachrichtung 6.1 – Mathematik Highly Accurate Optic Flow Computation with Theoretically Justified Warping Highly Accurate Optic Flow Computation with Theoretically Justified Warping , 2022 .
[15] Michael J. Black,et al. Learning Optical Flow , 2008, ECCV.
[16] Takeo Kanade,et al. An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.
[17] Timo Kohlberger,et al. A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods , 2006, International Journal of Computer Vision.
[18] Thomas Brox,et al. High Accuracy Optical Flow Estimation Based on a Theory for Warping , 2004, ECCV.
[19] Horst Bischof,et al. A Duality Based Approach for Realtime TV-L1 Optical Flow , 2007, DAGM-Symposium.
[20] Sang Uk Lee,et al. Optical flow estimation with adaptive convolution kernel prior on discrete framework , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[21] Timo Kohlberger,et al. Universität Des Saarlandes Fachrichtung 6.1 – Mathematik Variational Optic Flow Computation in Real-time Variational Optic Flow Computation in Real-time , 2022 .
[22] Joachim Weickert,et al. Towards ultimate motion estimation: combining highest accuracy with real-time performance , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[23] Richard Szeliski,et al. A Database and Evaluation Methodology for Optical Flow , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[24] D. Cremers,et al. Duality TV-L1 flow with fundamental matrix prior , 2008, 2008 23rd International Conference Image and Vision Computing New Zealand.
[25] Carsten Rother,et al. FusionFlow: Discrete-continuous optimization for optical flow estimation , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Hui Cheng,et al. Bilateral Filtering-Based Optical Flow Estimation with Occlusion Detection , 2006, ECCV.
[27] Jae Wook Jeon,et al. Tuning optical flow estimation with image-driven functions , 2011, 2011 IEEE International Conference on Robotics and Automation.
[28] Cheng Lei,et al. Optical flow estimation on coarse-to-fine region-trees using discrete optimization , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[29] Li Xu,et al. A Segmentation Based Variational Model for Accurate Optical Flow Estimation , 2008, ECCV.
[30] Xiaofeng Ren,et al. Local grouping for optical flow , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Berthold K. P. Horn,et al. Determining Optical Flow , 1981, Other Conferences.
[32] Janusz Konrad,et al. Occlusion-Aware Optical Flow Estimation , 2008, IEEE Transactions on Image Processing.
[33] Horst Bischof,et al. Motion estimation with non-local total variation regularization , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[34] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[35] Daniel Cremers,et al. An Improved Algorithm for TV-L 1 Optical Flow , 2009, Statistical and Geometrical Approaches to Visual Motion Analysis.