Performance of optical flow techniques
International Journal of Computer Vision
Optical flow estimation: advances and comparisons
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Robust computation of optical flow in a multi-scale differential framework
International Journal of Computer Vision
Journal of Mathematical Imaging and Vision
Direct computation of shape cues using scale-adapted spatial derivative operators
International Journal of Computer Vision - Special issue: machine vision research at the Royal Institute of Technology
The Intrinsic Structure of Optic Flow Incorporating Measurement Duality
International Journal of Computer Vision
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
Binocular Stereo from Grey-Scale Images
Journal of Mathematical Imaging and Vision
Reliable Estimation of Dense Optical Flow Fields with Large Displacements
International Journal of Computer Vision
Signal Processing for Computer Vision
Signal Processing for Computer Vision
A Stereo Matching Algorithm with an Adaptive Window: Theory and Experiment
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Structure of the Optic Flow Field
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Linear Spatio-Temporal Scale-Space
SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Empirically Convergent Adaptive Estimation of Grayvalue Structure Tensors
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Large deformation diffeomorphisms with application to optic flow
Computer Vision and Image Understanding
Spatio-temporal video object segmentation via scale-adaptive 3D structure tensor
EURASIP Journal on Applied Signal Processing
Guessing Tangents in Normal Flows
Journal of Mathematical Imaging and Vision
Real-time scale selection in hybrid multi-scale representations
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
A new methodology for multiscale myocardial deformation and strain analysis based on tagging MRI
Journal of Biomedical Imaging - Special issue on mathematical methods for images and surfaces
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In this paper we will present a least committed multi-scale method for computation of optic flow fields. We extract optic flow fields from normal flow, by fitting the normal components of a local polynomial model of the optic flow to the normal flow. This fitting is based on an analytically solvable optimization problem, in which an integration scalespace over the normal flow field regularizes the solution. An automatic local scale selection mechanism is used in order to adapt to the local structure of the flow field. The performance profile of the method is compared with that of existing optic flow techniques and we show that the proposed method performs at least as well as the leading algorithms on the benchmark image sequences proposed by Barron et al. [3]. We also do a performance comparison on a synthetic fire particle sequence and apply our method to a real sequence of smoke circulation in a pigsty. Both consist of highly complex non-rigid motion.