| Autor: |
Fakhfakh, Nizar, Khoudour, Louahdi, El-Koursi, El-Miloudi, Jacot, Jacques, Dufaux, Alain |
| Zdroj: |
Knowledge-based & Intelligent Information & Engineering Systems (9783642045943); 2009, p184-191, 8p |
| Abstrakt: |
Achieving an accurate disparity map in a reasonable processing time is a real challenge in the stereovision field. For this purpose, we propose in this paper an original approach which aims to accelerate matching time while keeping a very good matching accuracy. The proposed method allows us to shift from a dense to a sparse disparity map. Firstly, we have computed scores for all pairs of pixels using a new dissimilarity function recently developed. Then, by applying a confidence measure on each pair of pixels, we keep only couples of pixels having a high confidence measure which is computed relying on a set of new local parameters. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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