The image flow constraint equation
Computer Vision, Graphics, and Image Processing
Elements of statistical computing
Elements of statistical computing
Scene Segmentation from Visual Motion Using Global Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Investigations of multigrid algorithms for the estimation of optical flow fieldsin image sequences
Computer Vision, Graphics, and Image Processing
Constrained Restoration and the Recovery of Discontinuities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion segmentation and qualitative dynamic scene analysis from an image sequence
International Journal of Computer Vision
Performance of optical flow techniques
International Journal of Computer Vision
Recursive non-linear estimation of discontinuous flow fields
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computation and analysis of image motion: a synopsis of current problems and methods
International Journal of Computer Vision
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion Estimation with Quadtree Splines
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reliable and Efficient Computation of Optical Flow
International Journal of Computer Vision
International Journal of Computer Vision
Image Sequence Analysis via Partial Differential Equations
Journal of Mathematical Imaging and Vision
International Journal of Computer Vision
Optic Flow Field Segmentation and Motion Estimation Using a Robust Genetic Partitioning Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust and fast computation of unbiased intensity derivatives in images
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Hierarchical Model-Based Motion Estimation
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Optical-Flow Estimation while Preserving Its Discontinuities: A Variational Approach
ACCV '95 Invited Session Papers from the Second Asian Conference on Computer Vision: Recent Developments in Computer Vision
Skin and Bones: Multi-layer, Locally Affine, Optical Flow and Regularization with Transparency
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
A Statistical Approach to Snakes for Bimodal and Trimodal Imagery
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A Multigrid Approach for Hierarchical Motion Estimation
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A Multigrid Approach for Hierarchical Motion Estimation
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Object-based estimation of dense motion fields
IEEE Transactions on Image Processing
Deterministic edge-preserving regularization in computed imaging
IEEE Transactions on Image Processing
Simultaneous motion estimation and segmentation
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Dense estimation and object-based segmentation of the optical flow with robust techniques
IEEE Transactions on Image Processing
Dense Motion Analysis in Fluid Imagery
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods
International Journal of Computer Vision
Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation
International Journal of Computer Vision
Accurate optical flow computation under non-uniform brightness variations
Computer Vision and Image Understanding
Highly Accurate Optic Flow Computation with Theoretically Justified Warping
International Journal of Computer Vision
Coarse to over-fine optical flow estimation
Pattern Recognition
On the Spatial Statistics of Optical Flow
International Journal of Computer Vision
Over-Parameterized Variational Optical Flow
International Journal of Computer Vision
A Variational Model for the Joint Recovery of the Fundamental Matrix and the Optical Flow
Proceedings of the 30th DAGM symposium on Pattern Recognition
A Segmentation Based Variational Model for Accurate Optical Flow Estimation
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Optical-flow based on an edge-avoidance procedure
Computer Vision and Image Understanding
Moving gradients: a path-based method for plausible image interpolation
ACM SIGGRAPH 2009 papers
Accurate optical flow computation under non-uniform brightness variations
Computer Vision and Image Understanding
Two-frame motion estimation based on polynomial expansion
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Illumination-robust variational optical flow with photometric invariants
Proceedings of the 29th DAGM conference on Pattern recognition
A duality based approach for realtime TV-L1 optical flow
Proceedings of the 29th DAGM conference on Pattern recognition
Multi-label Depth Estimation for Graph Cuts Stereo Problems
Journal of Mathematical Imaging and Vision
Illumination-robust variational optical flow using cross-correlation
Computer Vision and Image Understanding
Smoothing of optical flow using robustified diffusion kernels
Image and Vision Computing
Can Variational Models for Correspondence Problems Benefit from Upwind Discretisations?
Journal of Mathematical Imaging and Vision
Nonparametri information fusion for motion estimation
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Intermediate flow field filtering in energy based optic flow computations
EMMCVPR'11 Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition
A fluid motion estimator for schlieren image velocimetry
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Bilateral filtering-based optical flow estimation with occlusion detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Variational motion segmentation with level sets
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Variational deblurring of images with uncertain and spatially variant blurs
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Dense versus Sparse Approaches for Estimating the Fundamental Matrix
International Journal of Computer Vision
Revisiting the brightness constraint: probabilistic formulation and algorithms
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Over-Parameterized optical flow using a stereoscopic constraint
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
2D motion description and contextual motion analysis: issues and new models
SCVMA'04 Proceedings of the First international conference on Spatial Coherence for Visual Motion Analysis
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Registration using sparse free-form deformations
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
3D Video Based Segmentation and Motion Estimation with Active Surface Evolution
Journal of Signal Processing Systems
Optical flow estimation in cardiac CT images using the steered Hermite transform
Image Communication
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In this paper we present a comprehensive energy-based framework for the estimation and the segmentation of the apparent motion in image sequences. The robust cost functions and the associated hierarchical minimization techniques that we propose mix efficiently non-parametric (dense) representations, local interacting parametric representations, and global non-interacting parametric representations related to a partition into regions. Experimental comparisons, both on synthetic and real images, demonstrate the merit of the approach on different types of photometric and kinematic contents ranging from moving rigid objects to moving fluids.