Experiences on developing computer vision hardware algorithms using Xilinx system generator

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• 作者：Ana Toledo Moreo ; Pedro Navarro Lorente ; F. Soto Valles ; Juan Suardí ; az Muro and Carlos Ferná ; ndez André ; s
• 关键词：Computer vision ; Co-design environments ; FPGA-based hardware implementation ; MatLab ; Xilinx system generator
• 刊名：Microprocessors and Microsystems
• 出版年：2005
• 出版时间：2005
• 年：2005
• 卷：29
• 期：8-9
• 页码：411-419
• 全文大小：538 K

文摘

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.