Date: 01 Jun 2005

Handling uncertainty in knowledge-based computer vision

* Final gross prices may vary according to local VAT.

Get Access


Probability theory provides a sound theoretical foundation for handling uncertainty in computer vision. Its objective interpretation allows us to use data for improving the quantitative and qualitative structure of our KB. An important challenge in vision is to find which are the important features to recognize the different objects in the world, and a probabilistic approach provides a useful tool for advancing in this direction.