IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual reconstruction
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
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
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
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
Determination of Optical Flow and its Discontinuities using Non-Linear Diffusion
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
Optical flow: a curve evolution approach
IEEE Transactions on Image Processing
Symmetrical Dense Optical Flow Estimation with Occlusions Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
DEFORMOTION: Deforming Motion, Shape Average and the Joint Registration and Segmentation of Images
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
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
Line Search Multilevel Optimization as Computational Methods for Dense Optical Flow
SIAM Journal on Imaging Sciences
Proceedings of the 10th International Conference on Mobile and Ubiquitous Multimedia
Low level moving-feature extraction via heat flow analogy
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Dynamic shape and appearance modeling via moving and deforming layers
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
A contrast invariant approach to motion estimation
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
Joint tof image denoising and registration with a CT surface in radiation therapy
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
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This paper presents an interpretation of a classic optical flow method by Nagel and Enkelmann as a tensor-driven anisotropic diffusion approach in digital image analysis. We introduce an improvement into the model formulation, and we establish well-posedness results for the resulting system of parabolic partial Differential equations. Our method avoids linearizations in the optical flow constraint, and it can recover displacement fields which are far beyond the typical one-pixel limits that are characteristic for many Differential methods for optical flow recovery. A robust numerical scheme is presented in detail. We avoid convergence to irrelevant local minima by embedding our method into a linear scale-space framework and using a focusing strategy from coarse to fine scales. The high accuracy of the proposed method is demonstrated by means of a synthetic and a real-world image sequence.