An object-oriented prototype of a pyramid architecture for computer vision

The author describes a working software prototype of a pyramid architecture, known as the SCOOP (Southern California Object-Oriented Prototype) pyramid, to investigate its use and effectiveness in computer vision. The results demonstrate that the pyramid architecture is an effective architecture for a wide range of computer vision tasks. An object-oriented methodology for modeling the individual processors and ports is used. The method of modeling and constructing the prototype is shown to be efficient and flexible. The results for segmentation are presented. Implications of these results are discussed as well as the advantages of using this method of modeling to examine alternative architectures