In this paper a multi-resolution depth field estimation algorithm for plenoptic cameras is presented. To face the potential accuracy losses originated from ambiguity problems arising in flat surface regions, still preserving bandwidth in correspondence of edges, a multi-resolution scheme is proposed. The achieved results show that the proposed local optimization method outperforms state of the art more complex global optimization based methods.
Neri, A., Carli, M., Battisti, F. (2015). A multi-resolution approach to depth field estimation in dense image arrays. In Proceedings - International Conference on Image Processing, ICIP (pp.3358-3362). IEEE Computer Society [10.1109/ICIP.2015.7351426].
A multi-resolution approach to depth field estimation in dense image arrays
NERI, Alessandro;CARLI, Marco;BATTISTI, FEDERICA
2015-01-01
Abstract
In this paper a multi-resolution depth field estimation algorithm for plenoptic cameras is presented. To face the potential accuracy losses originated from ambiguity problems arising in flat surface regions, still preserving bandwidth in correspondence of edges, a multi-resolution scheme is proposed. The achieved results show that the proposed local optimization method outperforms state of the art more complex global optimization based methods.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
