Performance of optical flow techniques
International Journal of Computer Vision
Digital image processing (3rd ed.): concepts, algorithms, and scientific applications
Digital image processing (3rd ed.): concepts, algorithms, and scientific applications
Computing Optical Flow with Physical Models of Brightness Variation
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Functionals with Greyvalue-Controlled Smoothness Terms for Determining Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Role of Total Least Squares in Motion Analysis
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
A Total Least Squares Framework for Low-Level Analysis of Dynamic Scenes and Processes
Mustererkennung 1999, 21. DAGM-Symposium
Variational Image Motion Computation: Theoretical Framework, Problems and Perspectives
Mustererkennung 2000, 22. DAGM-Symposium
Reliable Estimates of the Sea Surface Heat Flux from Image Sequences
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
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A method for the interpolation of parameter fields estimated by total least squares is presented. This is applied to the study of dynamic processes where the motion and further values such as divergence or brightness changes are parameterised in a partial differential equation. For the regularisation we introduce a constraint that restricts the solution only in the subspace determined by the total least squares procedure. The performance is illustrated on both synthetic and real test data.