Presentation 2012-09-19
Gray-level image detection of a dynamically reconfigurable vision-chip architecture
Yuki KAMIKUBO, Minoru WATANABE, Shoji KAWAHITO,
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Abstract(in English) Recently, for use in autonomous vehicles and robots, demand has been increasing for high-speed image recognition that is superior to that of the human eye. However, to recognize numerous images quickly, such system requires many template images to be read out dynamically from memory. They must then be sent to a processor quickly. However, realizing such high-speed real-time image recognition operation is difficult because of the bottleneck of transfer speed between the memory and the processor. Therefore, to improve the bottleneck, a dynamically reconfigurable vision architecture that can recognize binarized images has been presented.however, to date, dynamically reconfigurable vision architecture that can recognize gray-level images has never been presented. Therefore, this paper presents an experimentation related to a more advanced dynamically reconfigurable vision architecture that can recognize 4-gradation gray-level images.
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Keyword(in English) Field Programmable Gate Arrays / Dynamic reconfigurable devices / Vision chips.
Paper # RECONF2012-38
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Conference Information
Committee RECONF
Conference Date 2012/9/11(1days)
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Registration To Reconfigurable Systems (RECONF)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Gray-level image detection of a dynamically reconfigurable vision-chip architecture
Sub Title (in English)
Keyword(1) Field Programmable Gate Arrays
Keyword(2) Dynamic reconfigurable devices
Keyword(3) Vision chips.
1st Author's Name Yuki KAMIKUBO
1st Author's Affiliation Faculty of Engineering Shizuoka University()
2nd Author's Name Minoru WATANABE
2nd Author's Affiliation Faculty of Engineering Shizuoka University
3rd Author's Name Shoji KAWAHITO
3rd Author's Affiliation Research Institute of Electronics Shizuoka University
Date 2012-09-19
Paper # RECONF2012-38
Volume (vol) vol.112
Number (no) 203
Page pp.pp.-
#Pages 4
Date of Issue