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Proceedings Paper

New parallel vision environment in heterogeneous networked computing
Author(s): Kyung Nam Kim; Tae-Sun Choi; R. S. Ramakrishna
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Paper 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.

Paper Details

Date Published: 21 September 1998
PDF: 12 pages
Proc. SPIE 3452, Parallel and Distributed Methods for Image Processing II, (21 September 1998); doi: 10.1117/12.323473
Show Author Affiliations
Kyung Nam Kim, Kwangju Institute of Science and Technology (South Korea)
Tae-Sun Choi, Kwangju Institute of Science and Technology (South Korea)
R. S. Ramakrishna, Kwangju Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 3452:
Parallel and Distributed Methods for Image Processing II
Hongchi Shi; Patrick C. Coffield, Editor(s)

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