Name
Abstract | ||
|---|---|---|
Deriving the geometrical features of an observed scene is pivotal for better understanding and detection of events in recorded videos. In the paper methods are presented for the estimation of various geometrical scene characteristics. The estimated characteristics are: point correspondences in stereo views, mirror pole, light source and horizon line. The estimation is based on the analysis of dynamical scene properties by using co-motion statistics. Various experiments prove the feasibility of our approach. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74607-2_88 | ACIVS |
Keywords | Field | DocType |
estimated characteristic,geometrical scene analysis,light source,horizon line,better understanding,various experiment,various geometrical scene characteristic,observed scene,co-motion statistic,dynamical scene property,geometrical feature | Computer vision,Point correspondence,Scene analysis,Computer graphics (images),Computer science,Horizon,Scene statistics,Artificial intelligence,Statistics,Light source,Mixture model | Conference |
Volume | ISSN | ISBN |
4678 | 0302-9743 | 3-540-74606-4 |
Citations | PageRank | References |
4 | 0.51 | 18 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zoltán Szlávik | 1 | 116 | 21.40 |
| László Havasi | 2 | 16 | 5.34 |
| Sziranyi, T. | 3 | 395 | 44.76 |