FPGA-based Real time Extraction of visual features

被引：0
|
作者：
Birem, Merwan [1 ]
Berry, Franois [1 ]
机构：
[1] Univ Blaise Pascal, CNRS, LAb Sci & Mat Elect & Automat, UMR 6602, F-63177 Aubiere, France
来源：
2012 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 2012) | 2012年
关键词：
Image Processing; Point of interest; Harris & Stephen; Field-programmable gate array (FPGA); VHDL; Hardware Implementation;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Over the past few years, a new category of sensor is emerging. It is named intelligent sensor or smart sensor. One type of this sensor is smart camera. This paper focuses on smart camera used in the field of robotics and more precisely in the extraction of features. Object tracking, autonomous navigation or 3D mapping are some application examples of feature extraction. We have selected interest points feature that can be detected by several algorithms. One of these algorithms is Harris & Stephen, that has a simple principle based on the calculations of multiples derivatives and gives acceptable results. The smart camera also contains an FPGA as a processing device which will be used for the implementation of Harris & Stephen algorithm. Other modules were also added to the system to deliver more appropriate results.
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页数：4
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