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- W2127069673 abstract "The aim of this work is to propose a model for computing the optical flow in a sequence of images with a spatio-temporal regularizer explicitly designed for large displacements. We study the introduction of a temporal regularizer that expands the information beyond two consecutive frames. We use the large optical flow constraint equation in the data term, the Nagel-Enkelmann operator for the spatial smoothness term and a newly designed temporal regularization. Our model is based on an energy functional that yields a partial differential equation (PDE). This PDE is embedded into a multipyramidal strategy to recover large displacements. The numerical experiments show that thanks to this regularizer the results are more stable and accurate." @default.
- W2127069673 created "2016-06-24" @default.
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- W2127069673 date "2006-10-01" @default.
- W2127069673 modified "2023-10-18" @default.
- W2127069673 title "A Temporal Regularizer for Large Optical Flow Estimation" @default.
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- W2127069673 doi "https://doi.org/10.1109/icip.2006.312548" @default.
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