Integrating object oriented programming paradigm concepts in designing a vision and pattern recognition system architecture
A fully object-oriented approach to a general-purpose object-recognition system is presented. This, together with a blackboard architecture, provides a flexible and easily maintainable system. The knowledge information is distributed into two object-oriented databases: one, hierarchically structures into three layers according to visual abstractions, contains the object models (the knowledge source of the recognition process); the other, which reflects in the most natural way the problem domain knowledge, helps in the pruning of the decision trees and allows for the analysis of the behavior of the objects.<<ETX>>