Common-Frame Model for Object Recognition
Moreels, Pierre, Perona, Pietro
–Neural Information Processing Systems
A generative probabilistic model for objects in images is presented. An object consists of a constellation of features. Feature appearance and pose are modeled probabilistically. Scene images are generated by drawing aset of objects from a given database, with random clutter sprinkled on the remaining image surface.
Neural Information Processing Systems
Dec-31-2005
- Country:
- Europe > Czechia (0.14)
- North America > United States (0.14)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning (1.00)
- Representation & Reasoning > Uncertainty (0.49)
- Vision (1.00)
- Information Technology > Artificial Intelligence