<p>In <a href="https://github.com/mlpack/mlpack/pull/696#discussion_r67199274">src/mlpack/methods/edge_boxes/feature_extraction_impl.hpp</a>:</p>
<pre style='color:#555'>&gt; +  for (size_t i = 0; i &lt;= 1024; ++i)
&gt; +  {
&gt; +    table(i) = i / 1024.0;
&gt; +    
&gt; +    if (table(i) &gt; y0)
&gt; +      table(i) = 116 * pow(table(i), 1.0/3.0) - 16.0;
&gt; +    else
&gt; +      table(i) = table(i) * a;
&gt; +
&gt; +    table(i) = table(i) * maxi;
&gt; +  }
&gt; +  for(size_t i = 1025; i &lt; table.n_elem; ++i)
&gt; +  {
&gt; +    table(i) = table(i - 1);
&gt; +  }
&gt; +
</pre>
<p>I think it is a good idea, to make it run faster we could try to vectorize the codes more, I remember I post a link of matlab before(<a href="http://pages.cs.wisc.edu/%7Edyer/cs766/hw/hw2/code/rgb2luv.m">click me</a>)</p>

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