Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/54679
Título: An efficient algorithm for estimating the inverse optical flow
Autores/as: Sánchez, Javier 
Salgado de la Nuez, Agustín 
Monzón, Nelson 
Clasificación UNESCO: 220990 Tratamiento digital. Imágenes
Palabras clave: Inverse optical flow
Backward flow
Inverse mapping
Back registration
Occlusions, et al.
Fecha de publicación: 2013
Editor/a: 0302-9743
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 6th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) 
6th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2013 
Resumen: 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
Fuente: 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
Colección:Actas de congresos
Vista completa

Citas SCOPUSTM   

1
actualizado el 15-dic-2024

Citas de WEB OF SCIENCETM
Citations

1
actualizado el 25-feb-2024

Visitas

93
actualizado el 09-mar-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.