Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/54679
Title: An efficient algorithm for estimating the inverse optical flow
Authors: Sánchez, Javier 
Salgado de la Nuez, Agustín 
Monzón, Nelson 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
Keywords: Inverse optical flow
Backward flow
Inverse mapping
Back registration
Occlusions, et al
Issue Date: 2013
Publisher: 0302-9743
Journal: Lecture Notes in Computer Science 
Conference: 6th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) 
6th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2013 
Abstract: The aim of this work is to propose a method for computing the inverse optical flow between two frames in a sequence. We assume that the image registration has already been obtained in one direction and we need to estimate the mapping in the opposite direction. The direct and inverse mappings can easily be related through a simple warping formula, which allows us to propose a fast and efficient algorithm. Nevertheless, it is not possible to estimate the inverse function in the whole domain due to the presence of occlusions and disocclusions. Occlusions occur because some objects move to the same position in the next frame. On the other hand, disocclusions are the opposite situation: no correspondences can be established because there is no object moving to those positions. In this case, there is a lack of information and the best we can do is to guess their values from the surrounding values. In the experimental results, we use standard synthetic sequences to study the performance of the proposed method, and show that it yields very accurate solutions.
URI: http://hdl.handle.net/10553/54679
ISBN: 9783642386275
ISSN: 0302-9743
DOI: 10.1007/978-3-642-38628-2_46
Source: Sanches J.M., Micó L., Cardoso J.S. (eds) Pattern Recognition and Image Analysis. IbPRIA 2013. Lecture Notes in Computer Science, vol 7887, p. 390-397. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
Show full item record

SCOPUSTM   
Citations

1
checked on Apr 14, 2024

WEB OF SCIENCETM
Citations

1
checked on Feb 25, 2024

Page view(s)

93
checked on Mar 9, 2024

Google ScholarTM

Check

Altmetric


Share



Export metadata



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