Towards correlation-based matching algorithms that are robust near occlusions
- 1 January 2004
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3 (10514651), 20-23 Vol.3
- https://doi.org/10.1109/icpr.2004.1334459
Abstract
In the context of computer vision, matching can be done using correlation measures. This paper presents new algorithms that use two correlation measures: the zero mean normalised cross-correlation, ZNCC, and the smooth median absolute deviation, SMAD. While ZNCC is efficient in non-occluded areas and non-robust near occlusions, SMAD is non-efficient in non-occluded areas and robust near occlusions. The aim is to use the advantages of ZNCC and SMAD to deal with the problem of occlusions and to obtain dense disparity maps. The experimental results show that these algorithms are better than the ZNCC-based algorithm and SMAD-based algorithm.Keywords
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