Image Registration Using Wavelet-Based Motion Model
International Journal of Computer Vision
Reliable Estimation of Dense Optical Flow Fields with Large Displacements
International Journal of Computer Vision
Dense Estimation of Fluid Flows
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Registration, Optical Flow and Local Rigidity
Journal of Mathematical Imaging and Vision
A Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion
International Journal of Computer Vision
Hierarchical Estimation and Segmentation of Dense Motion Fields
International Journal of Computer Vision
Dense Motion Analysis in Fluid Imagery
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Optical Flow and Image Registration: A New Local Rigidity Approach for Global Minimization
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Robust Multi-scale Non-rigid Registration of 3D Ultrasound Images
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Extraction of Singular Points from Dense Motion Fields: An Analytic Approach
Journal of Mathematical Imaging and Vision
Estimating Piecewise-Smooth Optical Flow with Global Matching and Graduated Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonparametric Multiscale Energy-Based Model and Its Application in Some Imagery Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence
MRF-MAP-MFT visual object segmentation based on motion boundary field
Pattern Recognition Letters
Computation of optical flow under non-uniform brightness variations
Pattern Recognition Letters
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
Hardware implementation of optical flow constraint equation using FPGAs
Computer Vision and Image Understanding
Highly Accurate Optic Flow Computation with Theoretically Justified Warping
International Journal of Computer Vision
International Journal of Computer Vision
Segmentation of Vectorial Image Features Using Shape Gradients and Information Measures
Journal of Mathematical Imaging and Vision
Using quasi-continuous histograms for fuzzy main motion estimation in video sequence
Fuzzy Sets and Systems
A Low Dimensional Fluid Motion Estimator
International Journal of Computer Vision
A Variational Technique for Time Consistent Tracking of Curves and Motion
Journal of Mathematical Imaging and Vision
Extraction of mid-level semantics from gesture videos using a Bayesian network
International Journal of Intelligent Systems Technologies and Applications
Efficient Dense Scene Flow from Sparse or Dense Stereo Data
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
A Geometric Framework and a New Criterion in Optical Flow Modeling
Journal of Mathematical Imaging and Vision
Optical-flow estimation of dense motion field using robust techniques
ECC'08 Proceedings of the 2nd conference on European computing conference
Accurate optical flow computation under non-uniform brightness variations
Computer Vision and Image Understanding
Two-Frame Optical Flow Formulation in an Unwarping Multiresolution Scheme
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Accurate Real-Time Disparity Estimation with Variational Methods
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
An adaptive fuzzy-inference-rule-based flexible model for automatic elastic image registration
IEEE Transactions on Fuzzy Systems
Bayesian approaches to motion-based image and video segmentation
IWCM'04 Proceedings of the 1st international conference on Complex motion
Model-based plane-segmentation using optical flow and dominant plane
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Data-driven animation of crowds
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
A multiphase level set framework for motion segmentation
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Multiple combined constraints for optical flow estimation
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
A new approach for vehicle detection in congested traffic scenes based on strong shadow segmentation
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Second order variational optic flow estimation
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Temporal constraints in large optical flow estimation
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Robust Jacobian matrix estimation for image-based visual servoing
Robotics and Computer-Integrated Manufacturing
Joint estimation of motion, structure and geometry from stereo sequences
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Dense, robust, and accurate motion field estimation from stereo image sequences in real-time
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
A variational framework for image segmentation combining motion estimation and shape regularization
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Nonparametri information fusion for motion estimation
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Using active illumination for accurate variational space-time stereo
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Stereoscopic Scene Flow Computation for 3D Motion Understanding
International Journal of Computer Vision
Line Search Multilevel Optimization as Computational Methods for Dense Optical Flow
SIAM Journal on Imaging Sciences
Dense versus Sparse Approaches for Estimating the Fundamental Matrix
International Journal of Computer Vision
A study of the yosemite sequence used as a test sequence for estimation of optical flow
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
A variational approach for object contour tracking
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
Stochastic models for local optical flow estimation
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
Dense optic flow with a bayesian occlusion model
SCVMA'04 Proceedings of the First international conference on Spatial Coherence for Visual Motion Analysis
Analysis of recent advances in optical flow estimation methods
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part I
| Hi-index | 0.01 |
We address the issue of recovering and segmenting the apparent velocity field in sequences of images. As for motion estimation, we minimize an objective function involving two robust terms. The first one cautiously captures the optical flow constraint, while the second (a priori) term incorporates a discontinuity-preserving smoothness constraint. To cope with the nonconvex minimization problem thus defined, we design an efficient deterministic multigrid procedure. It converges fast toward estimates of good quality, while revealing the large discontinuity structures of flow fields. We then propose an extension of the model by attaching to it a flexible object-based segmentation device based on deformable closed curves (different families of curve equipped with different kinds of prior can be easily supported). Experimental results on synthetic and natural sequences are presented, including an analysis of sensitivity to parameter tuning