An image filtering processor for face/object recognition using merged/mixed analog-digital architecture
An image filtering processor for face/object recognition using merged/mixed analog-digital architecture
复制标题
使用合并/混合模拟数字架构进行人脸/物体识别的图像过滤处理器
DOI:
10.1109/vlsic.2005.1469371
复制
发表时间:
2005
期刊:
影响因子:
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通讯作者:
A. Iwata
中科院分区:
文献类型:
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作者:
K. Korekado;T. Morie;O. Nomura;T. Nakano;M. Matsugu;A. Iwata
This paper proposes an image-filtering processor LSI based on a hybrid approach using pulse-width modulation (PWM) and digital circuits. The LSI has been designed for implementing convolutional neural networks with a very large convolution-kernel size. The LSI designed using a 0.35 /spl mu/m CMOS performs 6-bit precision convolutions for an image of 80/spl times/80 pixels with a kernel size of up to 51/spl times/51 pixels within 8.2 ms. All operations for the fabricated LSI have been successfully verified. The power consumption estimated from SPICE simulation is 280 mW.
DOI:
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发表时间:
2004
期刊:
J. Intelligent & Fuzzy Systems 15
影响因子:
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作者:
K.Korekado;T.Morie;O.Nomura;H.et al.
通讯作者:
H.et al.
DOI:
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发表时间:
2003
期刊:
Digest of Technical Papers, 2003 IEEE International Solid-State-Circuit Conference (ISSCC), San Francisco, Feb. 2003
影响因子:
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作者:
Kiyoto Ito;Makoto Ogawa;Tadashi Shibata
通讯作者:
Tadashi Shibata