IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual reconstruction
On the estimation of optical flow: relations between different approaches and some new results
Artificial Intelligence
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
ECCV 90 Proceedings of the first european conference on Computer vision
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image selective smoothing and edge detection by nonlinear diffusion. II
SIAM Journal on Numerical Analysis
Performance of optical flow techniques
International Journal of Computer Vision
Determination of optical flow and its discontinuities using non-linear diffusion
ECCV '94 Proceedings of the third European conference on Computer Vision (Vol. II)
Numerical solution of partial differential equations
Numerical solution of partial differential equations
Artificial Intelligence - Special volume on computer vision
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
Computation and analysis of image motion: a synopsis of current problems and methods
International Journal of Computer Vision
The Intrinsic Structure of Optic Flow Incorporating Measurement Duality
International Journal of Computer Vision
Scale-Space Theory in Computer Vision
Scale-Space Theory in Computer Vision
Gaussian Scale-Space Theory
Linear Scale-Space has First been Proposed in Japan
Journal of Mathematical Imaging and Vision
On Functionals with Greyvalue-Controlled Smoothness Terms for Determining Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multimodal Estimation of Discontinuous Optical Flow using Markov Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
Performance Characteristics of Low-level Motion Estimators in Spatiotemporal Images
Proceedings of the Theoretical Foundations of Computer Vision, TFCV on Performance Characterization in 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
Mustererkennung 1999, 21. DAGM-Symposium
Optical flow: a curve evolution approach
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 Estimation of Fluid Flows
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
Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint
Journal of Mathematical Imaging and Vision
Variational Methods for Multimodal Image Matching
International Journal of Computer Vision
Symmetrical Dense Optical Flow Estimation with Occlusions Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Computing Optic Flow by Scale-Space Integration of Normal Flow
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
Fast Local Estimation of Optical Flow Using Variational and Wavelet Methods
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Empirically Convergent Adaptive Estimation of Grayvalue Structure Tensors
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Displacement Following of Hidden Objects in a Video Sequence
International Journal of Computer Vision
Image Interpolation Using Enhanced Multiresolution Critical-Point Filters
International Journal of Computer Vision - Special Issue on Computer Vision Research at the Beckman Institute of Advanced Science and Technology
Isotropic Energies, Filters and Splines for Vector Field Regularization
Journal of Mathematical Imaging and Vision
Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods
International Journal of Computer Vision
Gradient-based approach for fine registration of panorama images
Journal of Computer Science and Technology - Special issue on computer graphics and computer-aided design
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
Estimate Large Motions Using the Reliability-Based Motion Estimation Algorithm
International Journal of Computer Vision
International Journal of Computer Vision
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
A Low Dimensional Fluid Motion Estimator
International Journal of Computer Vision
Multi-scale 3D scene flow from binocular stereo sequences
Computer Vision and Image Understanding
Journal of Mathematical Imaging and Vision
Nonlinear registration using variational principle for mutual information
Pattern Recognition
Superpipelined high-performance optical-flow computation architecture
Computer Vision and Image Understanding
Computer Vision and Image Understanding
A Geometric Framework and a New Criterion in Optical Flow Modeling
Journal of Mathematical Imaging and Vision
Optical-flow based on an edge-avoidance procedure
Computer Vision and Image Understanding
A new energy-based method for 3D motion estimation of incompressible PIV flows
Computer Vision and Image Understanding
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
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
Short Communication: A method for sparse disparity densification using voting mask propagation
Journal of Visual Communication and Image Representation
Motion vision based structure estimation in forest environment
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
A probabilistic formulation of image registration
IWCM'04 Proceedings of the 1st international conference on Complex motion
Regularizing a set of unstructured 3D points from a sequence of stereo images
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
A variational approach for 3D motion estimation of incompressible PIV flows
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Bayesian model selection for optical flow estimation
Proceedings of the 29th DAGM conference on Pattern recognition
3D motion estimation using a combination of correlation and variational methods for PIV
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Second order variational optic flow estimation
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
An application of optical flow: slow motion effect on streaming image sequences
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
GPU-based multigrid: real-time performance in high resolution nonlinear image processing
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Image interpolation with edge-preserving differential motion refinement
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Illumination-robust variational optical flow using cross-correlation
Computer Vision and Image Understanding
WBIR'10 Proceedings of the 4th international conference on Biomedical image registration
EURASIP Journal on Advances in Signal Processing
Solving ill-posed Image Processing problems using Data Assimilation
Numerical Algorithms
Nonparametri information fusion for motion estimation
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Dense multi-frame optic flow for non-rigid objects using subspace constraints
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Scene flow estimation from stereo video source
ACAI '11 Proceedings of the International Conference on Advances in Computing and Artificial Intelligence
Robust trajectory-space TV-L1 optical flow for non-rigid sequences
EMMCVPR'11 Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition
Line Search Multilevel Optimization as Computational Methods for Dense Optical Flow
SIAM Journal on Imaging Sciences
Fast deformable registration of 3d-ultrasound data using a variational approach
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - 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
3D geometry reconstruction from a stereoscopic video sequence
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Two algorithms for motion estimation from alternate exposure images
Proceedings of the 2010 international conference on Video Processing and Computational Video
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
Backtracking: Retrospective multi-target tracking
Computer Vision and Image Understanding
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Adaptive integration of feature matches into variational optical flow methods
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
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In this paper we show that a classic optical flow technique by Nagel and Enkelmann (1986, IEEE Trans. Pattern Anal. Mach. Intell., Vol. 8, pp. 565–593) can be regarded as an early anisotropic diffusion method with a diffusion tensor. We introduce three improvements into the model formulation that (i) avoid inconsistencies caused by centering the brightness term and the smoothness term in different images, (ii) use a linear scale-space focusing strategy from coarse to fine scales for avoiding convergence to physically irrelevant local minima, and (iii) create an energy functional that is invariant under linear brightness changes. Applying a gradient descent method to the resulting energy functional leads to a system of diffusion–reaction equations. We prove that this system has a unique solution under realistic assumptions on the initial data, and we present an efficient linear implicit numerical scheme in detail. Our method creates flow fields with 100 % density over the entire image domain, it is robust under a large range of parameter variations, and it can recover displacement fields that are far beyond the typical one-pixel limits which are characteristic for many differential methods for determining optical flow. We show that it performs better than the optical flow methods with 100 % density that are evaluated by Barron et al. (1994, Int. J. Comput. Vision, Vol. 12, pp. 43–47). Our software is available from the Internet.