Update

src/dash-3d/evaluation.tex

@@ -8,9 +8,32 @@ We now describe our setup and the data we use in our experiments. We present an
 We use a city model of the Marina Bay area in Singapore in our experiments.
 The model came in 3DS Max format and has been converted into Wavefront OBJ format before the processing described in Section~\ref{d3:dash-3d}.
 The converted model has 387,551 vertices and 552,118 faces.
-Table~\ref{d3:size} gives some general information about the model.
+Table~\ref{d3:size} gives some general information about the model and Figure~\ref{d3:heterogeneity} illustrates the heterogeneity of our model (wireframe rendering is used to illustrate the heterogeneity of the geometry complexity).
 We partition the geometry into a k-$d$ tree until the leafs have less than 10000 faces, which gives us 64 adaptation sets, plus one containing the large faces.
 
+\begin{figure}[th]
+    \centering
+    \begin{subfigure}[b]{0.4\textwidth}
+        \includegraphics[width=\textwidth]{assets/dash-3d/heterogeneity/low-res-wire.png}
+        \caption{Low resolution geometry}
+    \end{subfigure}~%
+    \begin{subfigure}[b]{0.4\textwidth}
+        \includegraphics[width=\textwidth]{assets/dash-3d/heterogeneity/high-res-wire.png}
+        \caption{High resolution geometry}
+    \end{subfigure}
+    \\
+    \begin{subfigure}[b]{0.4\textwidth}
+        \includegraphics[width=\textwidth]{assets/dash-3d/heterogeneity/no-textures.png}
+        \caption{Simplistic textures replicated}
+    \end{subfigure}~%
+    \begin{subfigure}[b]{0.4\textwidth}
+        \includegraphics[width=\textwidth]{assets/dash-3d/heterogeneity/high-res-textures.png}
+        \caption{Detailed textures}
+    \end{subfigure}
+    \caption{Illustration of the heterogeneity of the model\label{d3:heterogeneity}}
+\end{figure}
+
+
 \begin{table}[th]
     \centering
     \begin{tabular}{ll}