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Scheda bibliografica proveniente da importazione di metadati da altro sistema |
| Tipo: |
Testo a stampa, Risorsa analitica |
| É contributo di: |
Graph-based representations in pattern recognition |
| Titolo: |
Stereo Vision for Obstacle Detection: A Graph-Based Approach |
| Pubblicazione: |
Berlin ; Heidelberg ; New York : Springer, ©2007 |
| Descrizione fisica: |
37-48 |
| Titolo uniforme: |
Graph-based representations in pattern recognition |
| Numeri standard: |
DOI 10.1007/978-3-540-72903-7_4  |
| Sommario o abstract: |
We propose a new approach to stereo matching for obstacle detection in the autonomous navigation framework. An accurate but slow reconstruction of the 3D scene is not needed; rather, it is more important to have a fast localization of the obstacles to avoid them. All the methods in the literature, based on a punctual stereo matching, are ineffective in realistic contexts because they are either computationally too expensive, or unable to deal with the presence of uniform patterns, or of perturbations between the left and right images. Our idea is to face the stereo matching problem as a matching between homologous regions. The stereo images are represented as graphs and a graph matching is computed to find homologous regions. Our method is strongly robust in a realistic environment, requires little parameter tuning, and is adequately fast, as experimentally demonstrated in a comparison with the best algorithms in the literature |
| Altre responsabilitą: |
P. Foggia
Jean Michel Jolion
A. Limongiello
M. Vento |
| Classificazione Dewey: |
006 ed.22 Metodi speciali di elaborazione |
| Lingua della pubblicazione: |
Inglese |
| Paese di pubblicazione: |
Germania ; Stati Uniti d'America |
| Codice identificativo: |
IT/ItRC/00017344 |
| data di importazione: |
01-01-2014 |
|
Full text |
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