Real-time image processing architecture for robot vision

Stelian Persa; Pieter P. Jonker

doi:10.1117/12.403766

11 October 2000 Real-time image processing architecture for robot vision

Stelian Persa, Pieter P. Jonker

Proceedings Volume 4197, Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision; (2000) https://doi.org/10.1117/12.403766
Event: Intelligent Systems and Smart Manufacturing, 2000, Boston, MA, United States

Abstract

This paper presents a study of the impact of MMX technology and PIII Streaming SIMD (Single Instruction stream, Multiple Data stream). Extensions in image processing and machine vision application, which, because of their hard real time constrains, is an undoubtedly challenging task. A comparison with traditional scalar code and with other parallel SIMD architecture (IMPA-VISION board) is discussed with emphasis of the particular programming strategies for speed optimization. More precisely we discuss the low level and intermediate level image processing algorithms, which are best suited for parallel SIMD implementation. High-level image processing algorithms are more suitable for parallel implementation on MIMD architectures. While the IMAP-VISION system performs better because of the large number of processing elements, the MMX processor and PIII (with Streaming SIMD Extensions) remains a good candidate for low-level image processing.

Citation Download Citation

Stelian Persa and Pieter P. Jonker "Real-time image processing architecture for robot vision", Proc. SPIE 4197, Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision, (11 October 2000); https://doi.org/10.1117/12.403766

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