Artificial Vision

7

Vision as Uncertain Knowledge

7.1 Introduction to vision as knowledge

7.2 Probabilistic networks basics

7.2.1 A view of the universe

7.2.2 Formal issues

7.2.3 Inference and its multiple sides

7.2.4 The basic fusion algorithm

7.3 Planning in uncertain universes

7.3.1 Planning as a decision problem

7.3.2 Estimating value and goodness

7.3.3 A nonmyopic algorithm

7.4 Modelling space structures

7.4.1 Modelling objects and relations

7.4.2 Time sequences

7.4.3 Representing actions and tasks

7.5 Visual inference

7.5.1 Generalized inference as data fusion

7.5.2 Recognition as inference

7.5.3 Inference on shapes and actions

7.6 Planning visual control

7.6.1 Selective vision – measures of relevance

7.6.2 The visual planning system TEA-1