This paper presents the GIOTTO system, a parallel computer based on a scalable single instruction, multiple data (SIMD) array of processors specially conceived for image processing. The system is characterized by a reduced-size array and a novel organization of the memory subsystem, designed to support transparent processing of images larger than the array. The system is designed to meet the computational requirements of machine vision, together with the compactness, ease of integration and flexibility called for by industrial robotic environments. The paper describes the system architecture in detail, focusing on original solutions conceived to endow the system with flexibility and performance. As proof of GIOTTO's suitability for robotic application, its use in a robot vision experiment is presented, showing the approach to the vision problem, the parallel algorithms, and performance analysis. © 1997 Academic Press Limited.
The GIOTTO system: A parallel computer for image processing / Cucchiara, R.; Di Stefano, L.; Piccardi, M.; Cinotti, T. S.. - In: REAL-TIME IMAGING. - ISSN 1077-2014. - 3:5(1997), pp. 343-353. [10.1006/rtim.1996.0069]
The GIOTTO system: A parallel computer for image processing
Cucchiara R.;
1997
Abstract
This paper presents the GIOTTO system, a parallel computer based on a scalable single instruction, multiple data (SIMD) array of processors specially conceived for image processing. The system is characterized by a reduced-size array and a novel organization of the memory subsystem, designed to support transparent processing of images larger than the array. The system is designed to meet the computational requirements of machine vision, together with the compactness, ease of integration and flexibility called for by industrial robotic environments. The paper describes the system architecture in detail, focusing on original solutions conceived to endow the system with flexibility and performance. As proof of GIOTTO's suitability for robotic application, its use in a robot vision experiment is presented, showing the approach to the vision problem, the parallel algorithms, and performance analysis. © 1997 Academic Press Limited.File | Dimensione | Formato | |
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