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Proceedings Paper

Reconfigurable vision system for real-time applications
Author(s): Cesar Torres-Huitzil; Miguel Arias-Estrada
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Paper Abstract

Recently, a growing community of researchers has used reconfigurable systems to solve computationally intensive problems. Reconfigurability provides optimized processors for systems on chip designs, and makes easy to import technology to a new system through reusable modules. The main objective of this work is the investigation of a reconfigurable computer system targeted for computer vision and real-time applications. The system is intended to circumvent the inherent computational load of most window-based computer vision algorithms. It aims to build a system for such tasks by providing an FPGA-based hardware architecture for task specific vision applications with enough processing power, using the minimum amount of hardware resources as possible, and a mechanism for building systems using this architecture. Regarding the software part of the system, a library of pre-designed and general-purpose modules that implement common window-based computer vision operations is being investigated. A common generic interface is established for these modules in order to define hardware/software components. These components can be interconnected to develop more complex applications, providing an efficient mechanism for transferring image and result data among modules. Some preliminary results are presented and discussed.

Paper Details

Date Published: 27 February 2002
PDF: 9 pages
Proc. SPIE 4666, Real-Time Imaging VI, (27 February 2002); doi: 10.1117/12.458522
Show Author Affiliations
Cesar Torres-Huitzil, Instituto Nacional de Astrofisica, Optica, y Electronica (Mexico)
Miguel Arias-Estrada, Instituto Nacional de Astrofisica, Optica, y Electronica (Mexico)

Published in SPIE Proceedings Vol. 4666:
Real-Time Imaging VI
Nasser Kehtarnavaz, Editor(s)

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