Abstract: Many vision tasks are very complex and computationally intensive. Real time requirements further aggravate the situation. They usually involve both structured (low-level vision) and unstructured (high-level vision) computations. Parallel approaches offer hope in this context. Parallel approaches to vision tasks and scheduling schemes for their implementation receive special emphasis in this paper. Architectural issues are also addressed. The aim is to design algorithms which can be implemented on low cost heterogeneous networks running PVM. Issues connected with general purpose architectures also receive attention. The proposed ideas have been illustrated through a practical example (of eye location from an image sequence). Next generation multimedia environments are expected to routinely employ such high performance computing platforms.!18
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