Resumen
A novel approach for dense disparity map (DM) estimation is designed. The proposed frameworks include together processing of stereo pairs using the following blocks: CIEL∗a∗b∗ color space conversion, stereo matching via multilevel scheme, employing Normalized Cross-Correlation or Structural Similarity Index Measure, color segmentation by k-means on a∗b∗ color plane, and adaptive post-filtering. The Bad Matching Pixels and Structural Similarity Index Measure criteria are applied in order to compare the performance of the proposed approach against state-of-the-art techniques. Two designed frameworks appear outperform existing state-of-the-art techniques in terms of objective criteria as well as in subjective visual perception.
Idioma original | Inglés |
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Número de artículo | 7555283 |
Páginas (desde-hasta) | 2968-2973 |
Número de páginas | 6 |
Publicación | IEEE Latin America Transactions |
Volumen | 14 |
N.º | 6 |
DOI | |
Estado | Publicada - jun. 2016 |