Presentation 2012-01-25
An Image Recognition System with Hierarchical Feature Learning Function
Masahiro ARIIZUMI, Baku OGASAWARA, Hakaru TAMUKOH, Masatoshi SEKINE,
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Abstract(in English) In this paper we describe an image recognition system having a hierarchical feature learning function. The feature learning function is combined Self-Organizing Map(SOM) with multi-resolution analysis. We also describe a hardware implementation of feature learning and image recognition. The hardware is a SOM hardware sharing PE of feature region searching. In order to demonstrate the proposed hardware's effectiveness, we compare the processing time of the hardware and a software implementation. In addition, we show the effectiveness of implementing feature learning and image recognition mechanism in system LSI from the logic circuit scale of the proposed hardware.
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Keyword(in English) Multi-resolution analysis / Self-Organizing Map / Image recognition / FPGA
Paper # VLD2011-95,CPSY2011-58,RECONF2011-54
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Committee RECONF
Conference Date 2012/1/18(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) An Image Recognition System with Hierarchical Feature Learning Function
Sub Title (in English)
Keyword(1) Multi-resolution analysis
Keyword(2) Self-Organizing Map
Keyword(3) Image recognition
Keyword(4) FPGA
1st Author's Name Masahiro ARIIZUMI
1st Author's Affiliation The Graduate School of Engineering, Tokyo University of Agriculture and Technology()
2nd Author's Name Baku OGASAWARA
2nd Author's Affiliation The Graduate School of Engineering, Tokyo University of Agriculture and Technology
3rd Author's Name Hakaru TAMUKOH
3rd Author's Affiliation The Graduate School of Engineering, Tokyo University of Agriculture and Technology
4th Author's Name Masatoshi SEKINE
4th Author's Affiliation The Graduate School of Engineering, Tokyo University of Agriculture and Technology
Date 2012-01-25
Paper # VLD2011-95,CPSY2011-58,RECONF2011-54
Volume (vol) vol.111
Number (no) 399
Page pp.pp.-
#Pages 6
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