Scene Analysis Using Regions

Abstract

One of the vision projects of the Stanford Research Institute Artificial Intelligence Group is described. The method employed uses regions as basic data and progresses by successive partitioning of the picture toward an interpretable “goal partition”, which is then explored by a heuristic decision tree. A general structure is discussed and an example problem is shown in detail.