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	<title>анализ моногенного сигнала Archives &#8212; MATLAB Number ONE</title>
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	<title>анализ моногенного сигнала Archives &#8212; MATLAB Number ONE</title>
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		<title>Monogenic Binary Coding: An efficient Local Feature Extraction Approach to Face Recognition</title>
		<link>https://matlab1.com/shop/matlab-code/monogenic-binary-coding-an-efficient-local-feature-extraction-approach-to-face-recognition/</link>
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		<pubDate>Thu, 19 Apr 2018 07:32:05 +0000</pubDate>
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					<description><![CDATA[<p>We proposed a novel face representation model, namely monogenic binary coding (MBC), based on the monogenic signal representation. One of the best merits of MBC is that it has much less time and space complexity than the widely used Gabor transformation based local feature extraction method. Through multi-scale monogenic signal representation, three kinds of features (e.g., local amplitude, [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/monogenic-binary-coding-an-efficient-local-feature-extraction-approach-to-face-recognition/">Monogenic Binary Coding: An efficient Local Feature Extraction Approach to Face Recognition</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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