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	<title>local binary pattern Archives &#8212; MATLAB Number ONE</title>
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	<title>local binary pattern Archives &#8212; MATLAB Number ONE</title>
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		<title>MATLAB code for computation the LBP-TOP features for a video sequence</title>
		<link>https://matlab1.com/shop/matlab-code/matlab-code-for-computation-the-lbp-top-features-for-a-video-sequence/</link>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Mon, 21 May 2018 09:12:45 +0000</pubDate>
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					<description><![CDATA[<p>Running this funciton each time to compute the LBP-TOP distribution of one video sequence. &#160; &#160; reference :  Guoying Zhao, Matti Pietikainen, &#8220;Dynamic texture recognition using local binary patterns with an application to facial expressions,&#8221; IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(6):915-928. MATLAB implementation of accumulator-based raw disparity computation Practical Considerations in Computational Sensing [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/matlab-code-for-computation-the-lbp-top-features-for-a-video-sequence/">MATLAB code for computation the LBP-TOP features for a video sequence</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>Local Binary Pattern Segmentation Algorithm</title>
		<link>https://matlab1.com/shop/matlab-code/local-binary-pattern-segmentation-algorithm/</link>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Wed, 09 May 2018 05:46:29 +0000</pubDate>
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					<description><![CDATA[<p>Local Binary Pattern (LBP) [3], [4], which has been used successfully to identify textures in faces and even in some EM images. To calculate LBP, a set of 8 pixels around a reference pixel is chosen, and the grayscale intensity of these pixels is compared to the reference pixel. The intensity of each of these 8 pixels can either be [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/local-binary-pattern-segmentation-algorithm/">Local Binary Pattern Segmentation Algorithm</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>Monogenic-LBP: A new approach for rotation invariant texture classification</title>
		<link>https://matlab1.com/shop/matlab-code/monogenic-lbp-a-new-approach-for-rotation-invariant-texture-classification/</link>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Thu, 19 Apr 2018 13:15:18 +0000</pubDate>
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					<description><![CDATA[<p>We present a novel training free rotation invariant texture classification method, namely M-LBP. It combines two rotation invariant measures, the local phase and the local surface type extracted by the 1st- and 2nd-order Riesz transforms, with the traditional uniform LBP operator.  Experimental results validate that M-LBP can achieve higher classification accuracy than the other methods evaluated, especially in the cases when [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/monogenic-lbp-a-new-approach-for-rotation-invariant-texture-classification/">Monogenic-LBP: A new approach for rotation invariant texture classification</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>Robust object tracking using joint color-texture histogram</title>
		<link>https://matlab1.com/shop/matlab-code/robust-object-tracking-using-joint-color-texture-histogram/</link>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Mon, 16 Apr 2018 13:32:18 +0000</pubDate>
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					<description><![CDATA[<p>LBP operator is an effective tool to measure the spatial structure of local image texture. To reduce the computational cost and improve the robustness of target representation, we proposed a joint color and LBP texture based mean shift tracking algorithm in this paper. A mask of the target is formed based on its five major uniform LBPriu2 8,1 texture patterns [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/robust-object-tracking-using-joint-color-texture-histogram/">Robust object tracking using joint color-texture histogram</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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