Abstract
Methods of model invocation by visual shape clues within a two-dimensional image are discussed. A probabilistic model is presented, from which the presence of particular objects is inferred, and scene-model feature correspondences are derived. © 1989.
| Original language | English |
|---|---|
| Pages (from-to) | 287-295 |
| Number of pages | 9 |
| Journal | Pattern Recognition Letters |
| Volume | 9 |
| Issue number | 4 |
| Publication status | Published - May 1989 |
Keywords
- image understanding
- Model-based vision
- probabilistic reasoning