| Autor: |
Michela Lecca |
| Jazyk: |
angličtina |
| Rok vydání: |
2009 |
| Předmět: |
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| Zdroj: |
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 8, Iss 2 (2009) |
| Druh dokumentu: |
article |
| ISSN: |
1577-5097 |
| DOI: |
10.5565/rev/elcvia.319 |
| Popis: |
In this paper, we propose a visual attention module that automatically detects the regions of an input previously unseen image, which are more likely occupied by a known object. The module can be integrated in many object recognition systems for reducing the image space in which to search the object and the computational costs. The proposed strategy has been tested on two public real-world image databases showing good performances and it has been applied to the SIFT recognition algorithm. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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