In the last decades several cost aggregation methods aimed at improving the robustness of stereo correspondence within local and global algorithms have been proposed. Given the recent developments and the lack of an appropriate comparison, in this paper we survey, classify and compare experimentally on a standard data set the main cost aggregation approaches proposed in literature. The experimental evaluation addresses both accuracy and computational requirements, so as to outline the best performing methods under these two criteria.

Classification and evaluation of cost aggregation methods for stereo correspondence / F. Tombari; S. Mattoccia; L. Di Stefano; E. Addimanda. - ELETTRONICO. - 1:(2008), pp. 1-8. (Intervento presentato al convegno IEEE Conference on Computer Vision and Pattern Recognition, 2008 (CVPR 2008) tenutosi a Anchorage, AK, USA nel 23-28 June 2008) [10.1109/CVPR.2008.4587677].

Classification and evaluation of cost aggregation methods for stereo correspondence

TOMBARI, FEDERICO;MATTOCCIA, STEFANO;DI STEFANO, LUIGI;
2008

Abstract

In the last decades several cost aggregation methods aimed at improving the robustness of stereo correspondence within local and global algorithms have been proposed. Given the recent developments and the lack of an appropriate comparison, in this paper we survey, classify and compare experimentally on a standard data set the main cost aggregation approaches proposed in literature. The experimental evaluation addresses both accuracy and computational requirements, so as to outline the best performing methods under these two criteria.
2008
Proceedings IEEE Conference on Computer Vision and Pattern Recognition, 2008 (CVPR 2008)
1
8
Classification and evaluation of cost aggregation methods for stereo correspondence / F. Tombari; S. Mattoccia; L. Di Stefano; E. Addimanda. - ELETTRONICO. - 1:(2008), pp. 1-8. (Intervento presentato al convegno IEEE Conference on Computer Vision and Pattern Recognition, 2008 (CVPR 2008) tenutosi a Anchorage, AK, USA nel 23-28 June 2008) [10.1109/CVPR.2008.4587677].
F. Tombari; S. Mattoccia; L. Di Stefano; E. Addimanda
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/65431
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