IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ten lectures on wavelets
Performance of optical flow techniques
International Journal of Computer Vision
Recursive Filters for Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust computation of optical flow in a multi-scale differential framework
International Journal of 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
Wavelet analysis: the scalable structure of information
Wavelet analysis: the scalable structure of information
Reliable Estimation of Dense Optical Flow Fields with Large Displacements
International Journal of Computer Vision
Wavelet Filter Design via Linear Independent Basic Filters
AFPAC '00 Proceedings of the Second International Workshop on Algebraic Frames for the Perception-Action Cycle
Numerische Isotropieoptimierung von FIR-Filtern mittels Querglättung
Mustererkennung 1997, 19. DAGM-Symposium
Mustererkennung 1999, 21. DAGM-Symposium
Biased Anisotropic Diffusion--A Unified Regularization and Diffusion
Biased Anisotropic Diffusion--A Unified Regularization and Diffusion
Deterministic edge-preserving regularization in computed imaging
IEEE Transactions on Image Processing
Efficient and reliable schemes for nonlinear diffusion filtering
IEEE Transactions on Image Processing
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We present a framework for fast (linear time) local estimation of optical flow in image sequences. Starting from the commonly used brightness constancy assumption, a simple differential technique is derived in a first step. Afterwards, this approach will be extended by the application of a nonlinear diffusion process to the flow field in order to reduce smoothing at motion boundaries. Due to the ill-posedness of the determination of optical flow from the related differential equations, a Wavelet-Galerkin projection method is applied to regularize and linearize the problem.