Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/11295
Title: Temporal constraints in large optical flow estimation
Authors: Salgado de la Nuez, Agustín Javier
Sánchez, Javier 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
Keywords: Sequence of images
Optical flow
Estimation
Issue Date: 2007
Journal: Lecture Notes in Computer Science 
Conference: 11th International Conference on Computer Aided Systems Theory 
11th International Conference on Computer Aided Systems Theory, EUROCAST 2007 
Abstract: The aim of this work is to propose a model for computing the optical flow in a sequence of images. We introduce a new temporal regularizer that is suitable for large displacements. We propose to decouple the spatial and temporal regularizations to avoid an incongruous formulation. For the spatial regularization we use the Nagel-Enkelmann operator 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. A gradient descent technique is applied at each scale to reach the minimum.
URI: http://hdl.handle.net/10553/11295
ISBN: 9783540758662
ISSN: 0302-9743
Source: Moreno Díaz R., Pichler F., Quesada Arencibia A. (eds) Computer Aided Systems Theory – EUROCAST 2007. EUROCAST 2007. Lecture Notes in Computer Science, vol 4739. Springer, Berlin, Heidelberg
Rights: by-nc-nd
Appears in Collections:Actas de congresos
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