FusionFlow: Discrete-continuous optimization for optical flow estimation

Lempitsky, Victor, Roth, Stefan, Rother, Carsten·2008·2008 IEEE Conference on Computer Vision and Pattern Recognition

Cited by (144)

Items 101–144 of 144

  1. The Compensated HS Optical Flow Estimation Based on Matching Harris Corner Points
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  3. Dense motion estimation between distant frames: Combinatorial multi-step integration and statistical selection
    Pierre-Henri Conze, T. Crivelli, P. Robert, L. Morin · 2013 · 2013 IEEE International Conference on Image Processing
  4. Stochastic Models for Local Optical Flow Estimation
    T. Corpetti, É. Mémin · 2011 · Scale Space and Variational Methods in Computer Vision
  5. Optical Flow Estimation
    Andreas Wedel, D. Cremers · 2011 · Springer eBooks
  6. A temporally coherent neural algorithm for artistic style transfer
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  7. Real-time one-dimensional motion estimation and its application in computer vision
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  8. Fuzzy segmentation of video shots using hybrid color spaces and motion information
    B. Carvalho, E. Garduño, T. Santos, Lucas M. Oliveira, José F. Silva · 2014 · Pattern Analysis and Applications
  9. Improving Motion Estimation Using Image-Driven Functions and Hybrid Scheme
    D. Nguyen, J. Jeon · 2011 · Pacific-Rim Symposium on Image and Video Technology
  10. A nonparametric regression model for virtual humans generation
    Yun-Feng Chou, Zen-Chung Shih · 2010 · Multimedia tools and applications
  11. When Discrete Meets Differential
    Wen-Yan Lin, Geok-Choo Tan, L. Cheong · 2009 · International Journal of Computer Vision
  12. Joint Sparse Optical Flow Estimation and Keypoint Detection via Dual-task Imperative Learning
    Qiang Liu, Bao-Jia Chen, Zhiqiang Hao, Xin-Long Li, Leilei Xiang, Juan Liu · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  13. Illumination-Aware Large Displacement Optical Flow
    Michael Stoll, Daniel Maurer, S. Volz, Andrés Bruhn · 2017 · Energy Minimization Methods in Computer Vision and Pattern Recognition
  14. Variational Large Displacement Optical Flow Without Feature Matches
    Michael Stoll, Daniel Maurer, Andrés Bruhn · 2017 · Energy Minimization Methods in Computer Vision and Pattern Recognition
  15. DOPE: Distributed Optimization for Pairwise Energies
    J. Dolz, I. Ben Ayed, Christian Desrosiers · 2017 · Computer Vision and Pattern Recognition
  16. Making Optic Flow Robust to Dynamic Lighting Conditions for Real-Time Operation
    Allison Mathis, W. Nothwang, Daniel Donavanik, J. Conroy, Jared Shamwell, R. Robinson · 2016
  17. Orientation estimation in modern wearables with visual feature tracking
    László Kundra, P. Ekler, H. Charaf · 2015 · Journal on Multimodal User Interfaces
  18. Robust optical flow estimation based on brightness correction fields
    Wei Wang, Zhi-Xun Su, Jin-Shan Pan, Ye Wang, Riming Sun · 2011 · Journal of Zhejiang University SCIENCE C
  19. Graph-based variational optimization and applications in computer vision. (Optimisation variationnelle discrète et applications en vision par ordinateur)
    Camille Couprie · 2011
  20. Automated Registration of Terrestrial Laser Scanner Point Clouds
    P. Theiler · 2015
  21. Registration Fusion Using Markov Random Fields
    T. Gass, G. Székely, O. Goksel · 2014 · Workshop on Biomedical Image Registration
  22. Modèles de minimisation d'énergies discrètes pour la cartographie cystoscopiqueDiscrete energy minimization models for cystoscopic cartography
    Thomas Weibel · 2013
  23. Enhancing accuracy and sharpness of motion field with adaptive scheme and occlusion-aware filter
    D. Nguyen, J. Jeon · 2013 · IET Image Processing
  24. Continuous Markov Random Field Optimization Using Fusion Move Driven Markov Chain Monte Carlo Technique
    Wonsik Kim, Kyoung Mu Lee · 2010 · International Conference on Pattern Recognition
  25. Producing stylized videos using the AnimVideo rendering tool
    Rafael B. Gomes, Lucas Maia de Oliveira, Laurindo de Sousa Britto Neto, Tiago Santos, Gilbran S. Andrade, Bruno Motta de Carvalho, Luiz Marcos Garcia Gonçalves · 2009 · International Journal of Imaging Systems and Technology
  26. Model-based Optical Flow: Layers, Learning, and Geometry
    Jonas Wulff · 2017
  27. 3D Szenenfluss – bildbasierte Schätzung dichter Bewegungsfelder
    Christoph Vogel, S. Roth, K. Schindler · 2017 · Springer eBooks
  28. 基于光流的运动图像分析研究进展 A Survey of Motion Estimation Based on Optical Flow
    Xiao-fang Shao · 2017 · Artificial Intelligence and Robotics Research
  29. Multi-way Particle Swarm Fusion
    Chen Liu, Hang Yan, Pushmeet Kohli, Yasutaka Furukawa · 2016 · arXiv.org
  30. Scale-change aware locally adaptive optical flow
    Euyoung Kim, Kyoung Mu Lee · 2016 · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
  31. Monocular, Boundary-Preserving Joint Recovery of Scene Flow and Depth
    Y. Mathlouthi, A. Mitiche, I. Ben Ayed · 2016 · Frontiers in ICT
  32. Scene Flow Estimation from RGBD Images
    J. Sepúlveda · 2014
  33. Deformable Registration with Discontinuity Preservation using Multi-Scale MRF
    Dohyung Seo, J. van Baar · 2014 · The MIDAS Journal
  34. Reliable optical flow estimation in motion-blurred regions
    Y. Koh, Chulwoo Lee, Jae-Young Sim, Chang-Su Kim · 2013 · IEEE International Workshop on Multimedia Signal Processing
  35. The analysis and development of computed 2D optical flow velocity based on phantom data
    Fuyu Cai, Han J. W. van Triest, Yan Kang · 2012 · International Conference on Computerized Healthcare
  36. Robust optical flow estimation for illumination changes
    Xiuzhi Li, Songmin Jia, Xue Zhao · 2012 · IEEE International Conference on Robotics and Biomimetics (ROBIO)
  37. Optical flow estimation with parameterized data term and warping
    Jintao Xu, Zu-Ren Feng, N. Lu · 2012 · Proceedings of the 10th World Congress on Intelligent Control and Automation
  38. The iterative graph cut optical flow estimation with space term disturbance
    Zi-Yun Lu, Tu-Sheng Tang, Wei Liu · 2010 · International Conference on Information Science and Engineering
  39. Learning Image Structures for Optimizing Disparity Estimation
    M. Rohith, C. Kambhamettu · 2010 · Asian Conference on Computer Vision
  40. Statistical Modeling of Optical Flow
    Dongmin Ma, V. Prinet, Cyril Cassisa · 2009 · 2009 Fifth International Conference on Image and Graphics
  41. Variational approaches for motion and structure from monocular video
    Andreas Neufeld · 2017
  42. Effective Joint Regularization in Medical Imaging for Nonsmooth Nonlinear Priors
    V. Vishnevskiy · 2016
  43. Robust and Accurate 3D Motion Estimation under Adverse Conditions
    Christoph Vogel · 2015
  44. Dense Corresspondence Estimation for Image Interpolation
    Christian Linz, M. Magnor · 2010