Parallel implementation of vision algorithms on distributed systems

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作者
Griffith Univ, Brisbane [1 ]
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来源
International Conference on Knowledge-Based Intelligent Electronic Systems, Proceedings, KES | 1998年 / 3卷
关键词
Feature extraction - Object recognition - Parallel algorithms - Parallel processing systems - Virtual reality;
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摘要
Vision computing involves the execution of a large number of operations on large sets of structured data. The need to implement vision tasks in parallel arises from the speed requirements of real-time environments in various application domains. In this paper we propose that a distributed computer system can be utilized to replace the specialized machine for the parallel implementation of vision tasks. We introduce some techniques used in distributed systems and adopt a divide-and-conquer policy to schedule the complex vision tasks for parallelism. Two traditional vision algorithms for matrix operation and image matching are implemented using PVM (parallel virtual machine). Furthermore, a hierarchical object recognition system is described as an example of parallelism on distributed systems. Finally we conclude that some vision tasks can be realized on a general distributed system to achieve the speedup at a low cost.
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页码:354 / 362
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