IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Analysis Using Multigrid Relaxation Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scene Segmentation from Visual Motion Using Global Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the estimation of optical flow: relations between different approaches and some new results
Artificial Intelligence
Investigations of multigrid algorithms for the estimation of optical flow fieldsin image sequences
Computer Vision, Graphics, and Image Processing
Motion Field and Optical Flow: Qualitative Properties
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Maximum Likelihood Framework for Determining Moving Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Flow Segmentation and Estimation by Constraint Line Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boundary Detection by Constrained Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
The analytic structure of image flows: deformation and segmentation
Computer Vision, Graphics, and Image Processing
ECCV 90 Proceedings of the first european conference on Computer vision
Direct evidence for occlusion in stereo and motion
ECCV 90 Proceedings of the first european conference on Computer vision
Bayesian Estimation of Motion Vector Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion segmentation and qualitative dynamic scene analysis from an image sequence
International Journal of Computer Vision
Multiscale minimization of global energy functions in some visual recovery problems
CVGIP: Image Understanding
Visual Integration and Detection of Discontinuities: The Key Role of Intensity Edges
Visual Integration and Detection of Discontinuities: The Key Role of Intensity Edges
A Fast Scalable Algorithm for Discontinuous Optical Flow Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear Motion Estimation Using the Supercoupling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatiotemporal Segmentation Based on Region Merging
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reliable and Efficient Computation of Optical Flow
International Journal of Computer Vision
Exploiting Discontinuities in Optical Flow
International Journal of Computer Vision
Robust Optical Flow Computation Based on Least-Median-of-Squares Regression
International Journal of Computer Vision
Segmentation of Color Textures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Design and Use of Linear Models for Image Motion Analysis
International Journal of Computer Vision
Real-Time Tracking of Moving Persons by Exploiting Spatio-Temporal Image Slices
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structure from Motion: Beyond the Epipolar Constraint
International Journal of Computer Vision
Reliable Estimation of Dense Optical Flow Fields with Large Displacements
International Journal of Computer Vision
Estimation of Occlusion and Dense Motion Fields in a Bidirectional Bayesian Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion
International Journal of Computer Vision
Probabilistic Detection and Tracking of Motion Boundaries
International Journal of Computer Vision - Special issue on Genomic Signal Processing
MAP-Based Stochastic Diffusion for Stereo Matching and Line Fields Estimation
International Journal of Computer Vision
Extraction of Video Objects via Surface Optimization and Voronoi Order
Journal of VLSI Signal Processing Systems
Extraction of 2D Motion Trajectories and Its Application to Hand Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optic Flow Field Segmentation and Motion Estimation Using a Robust Genetic Partitioning Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Symmetrical Dense Optical Flow Estimation with Occlusions Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Perceptual Grouping from Motion Cues Using Tensor Voting in 4-D
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
CAPTECH '98 Proceedings of the International Workshop on Modelling and Motion Capture Techniques for Virtual Environments
Fuzzy Markovian segmentation in application of magnetic resonance images
Computer Vision and Image Understanding
Layered 4D Representation and Voting for Grouping from Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian inference of visual motion boundaries
Exploring artificial intelligence in the new millennium
Subpixel estimation of normal displacements along contours using MRF-models
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Hidden Markov Measure Field Models for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating Piecewise-Smooth Optical Flow with Global Matching and Graduated Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
A Voting-Based Computational Framework for Visual Motion Analysis and Interpretation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Accurate optical flow computation under non-uniform brightness variations
Computer Vision and Image Understanding
Variational Bayesian image modelling
ICML '05 Proceedings of the 22nd international conference on Machine learning
Pattern Recognition Letters - Special issue: Artificial neural networks in pattern recognition
Highly Accurate Optic Flow Computation with Theoretically Justified Warping
International Journal of Computer Vision
Using Fourier local magnitude in adaptive smoothness constraints in motion estimation
Pattern Recognition Letters
On the Spatial Statistics of Optical Flow
International Journal of Computer Vision
Symmetrical Dense Optical Flow Estimation with Occlusions Detection
International Journal of Computer Vision
An algorithm for motion parameter direct estimate
EURASIP Journal on Applied Signal Processing
Efficient MRF deformation model for non-rigid image matching
Computer Vision and Image Understanding
International Journal of Computer Vision
Optical-flow based on an edge-avoidance procedure
Computer Vision and Image Understanding
Occlusion Boundaries from Motion: Low-Level Detection and Mid-Level Reasoning
International Journal of Computer Vision
Local detection of occlusion boundaries in video
Image and Vision Computing
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
Low complexity dense motion estimation using phase correlation
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Bayesian approaches to motion-based image and video segmentation
IWCM'04 Proceedings of the 1st international conference on Complex motion
Journal of Visual Communication and Image Representation
Conservative motion estimation from multi-image sequences
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Motion segmentation with accurate boundaries: a tensor voting approach
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
International Journal of Computer Vision
A robust matching algorithm based on global motion smoothness criterion
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
FIMH'05 Proceedings of the Third international conference on Functional Imaging and Modeling of the Heart
Detecting spatiotemporal structure boundaries: beyond motion discontinuities
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
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
Optical flow estimation for motion-compensated compression
Image and Vision Computing
Computer Vision and Image Understanding
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The estimation of dense velocity fields from image sequences is basically an ill-posed problem, primarily because the data only partially constrain the solution. It is rendered especially difficult by the presence of motion boundaries and occlusion regions which are not taken into account by standard regularization approaches. In this paper, the authors present a multimodal approach to the problem of motion estimation in which the computation of visual motion is based on several complementary constraints. It is shown that multiple constraints can provide more accurate flow estimation in a wide range of circumstances. The theoretical framework relies on Bayesian estimation associated with global statistical models, namely, Markov random fields. The constraints introduced here aim to address the following issues: optical flow estimation while preserving motion boundaries, processing of occlusion regions, fusion between gradient and feature-based motion constraint equations. Deterministic relaxation algorithms are used to merge information and to provide a solution to the maximum a posteriori estimation of the unknown dense motion field. The algorithm is well suited to a multiresolution implementation which brings an appreciable speed-up as well as a significant improvement of estimation when large displacements are present in the scene. Experiments on synthetic and real world image sequences are reported.