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 | 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 |
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.