Experiences on developing computer vision hardware algorithms using Xilinx system generator
| Autor: | Pedro Javier Navarro Lorente, Ana Belén Toledo Moreo, F. Soto Valles, Juan Suardíaz Muro, Carlos Andrés |
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| Rok vydání: | 2005 |
| Předmět: |
Rapid prototyping
Digital signal processor Computer Networks and Communications business.industry Computer science Reconfigurable computing Software System generator Application-specific integrated circuit Artificial Intelligence Hardware and Architecture Embedded system Computer vision Artificial intelligence Field-programmable gate array business MATLAB computer computer.programming_language |
| Zdroj: | Microprocessors and Microsystems. 29:411-419 |
| ISSN: | 0141-9331 |
| DOI: | 10.1016/j.micpro.2004.11.002 |
| Popis: | Computer vision is one of the areas where hardware-implemented algorithms perform clearly better than those implemented via software. Digital designers have so far optimized their designs by means of application specific integrated circuits (ASICs) or digital signal processors (DSPs). However, nowadays they are increasingly using field programmable gate arrays (FPGAs), powerful hardware devices combining the main advantages of ASICs and DSPs with the possibility of re-programming, which make them very attractive devices for rapid prototyping. This paper shows how the Xilinx system generator (XSG) environment can be used to develop hardware-based computer vision algorithms from a system level approach, which makes it suitable for developing co-design environments. |
| Databáze: | OpenAIRE |
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