Name
Abstract | ||
|---|---|---|
The elimination of strong shadow in outdoor scenes contain- ing human activity is addressed in the paper. The main con- tribution of the introduced method is the integration of geo- metrical information into the shadow detection process. This novel approach takes into account the collinearity of shadow and light direction and completed with a simple colour based pre-filtering. The final classification step is carried out via a Bayesian iteration scheme which is general enough to handle further characteristics of the problem: weak shadow and reflection. |
Year | Venue | Field |
|---|---|---|
2006 | EUSIPCO | Shadow,Computer vision,Collinearity,Computer graphics (images),Computer science,Shadow mapping,Artificial intelligence,Shadow and highlight enhancement,Bayesian probability |
DocType | Citations | PageRank |
Conference | 1 | 0.36 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| László Havasi | 1 | 16 | 5.34 |
| Sziranyi, T. | 2 | 395 | 44.76 |
| Michael Rudzsky | 3 | 38 | 2.79 |