Dense discontinuous optical flow via contour-based segmentation
- 1 January 2005
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3, 1264
- https://doi.org/10.1109/icip.2005.1530629
Abstract
We propose a new algorithm for dense optical flow computation. Dense optical flow schemes are challenged by the presence of motion discontinuities. In state of the art optical flow methods, over-smoothing of flow discontinuities accounts for most of the error. A breakthrough in the performance of optical flow computation has recently been achieved by Brox et al. Our algorithm embeds their functional within a contour-based segmentation framework. Piecewise-smooth flow fields are accommodated and flow boundaries are crisp. Experimental results show the superiority of our algorithm with respect to alternative techniques.Keywords
This publication has 11 references indexed in Scilit:
- A multigrid approach for hierarchical motion estimationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah ModelInternational Journal of Computer Vision, 2002
- Probabilistic Detection and Tracking of Motion BoundariesInternational Journal of Computer Vision, 2000
- The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow FieldsComputer Vision and Image Understanding, 1996
- Performance of optical flow techniquesInternational Journal of Computer Vision, 1994
- Approximation of functional depending on jumps by elliptic functional via t‐convergenceCommunications on Pure and Applied Mathematics, 1990
- Computation of component image velocity from local phase informationInternational Journal of Computer Vision, 1990
- Optimal approximations by piecewise smooth functions and associated variational problemsCommunications on Pure and Applied Mathematics, 1989
- Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulationsJournal of Computational Physics, 1988
- Determining optical flowArtificial Intelligence, 1981