Dynamic control and prototyping of parallel algorithms for intermediate- and high-level vision

Developing parallel algorithms for intermediate and high levels of computer vision systems is addressed. Because the algorithms are complex and the nature and size of the input and output data sets vary for each application, the authors have directly developed parallel algorithms for dynamic control of both processing and communication complexity during execution. They have also examined the merits of functional prototyping and transforming programs into imperative execution code for final implementation. To evaluate and give direction to their work, they have implemented algorithms for plane detection and object recognition on a flexible transputer network.<>