Update example environment style <noupdate>

src/year1/image-processing-and-computer-vision/module1/sections/_image_acquisition.tex

@@ -25,7 +25,7 @@
             The pinhole camera is a good approximation of the geometry of the image formation mechanism of modern imaging devices.
         \end{remark}
 
-        \begin{figure}[h]
+        \begin{figure}[H]
             \begin{subfigure}{.4\textwidth}
                 \centering
                 \includegraphics[width=0.8\linewidth]{./img/pinhole.png}
@@ -205,7 +205,7 @@ Geometric model of a pinhole camera.\\
                 to find the object corresponding to $p_L$ in another image, 
                 it is sufficient to search along the horizontal axis of $p_L$ looking for the same colors or patterns.
 
-                \begin{figure}[h]
+                \begin{figure}[H]
                     \centering
                     \includegraphics[width=0.5\textwidth]{./img/stereo_matching.png}
                     \caption{Example of stereo matching}
@@ -259,7 +259,7 @@ then its length $l$ in the image plane is:
 In all the other cases (i.e. when the line is not parallel to the image plane), 
 the ratios of lengths and the parallelism of lines are not preserved.
 
-\begin{figure}[h]
+\begin{figure}[H]
     \centering
     \includegraphics[width=0.25\textwidth]{./img/_perspective_projection_ratio.pdf}
     \caption{Example of not preserved ratios. It holds that $\frac{\overline{AB}}{\overline{BC}} \neq \frac{\overline{ab}}{\overline{bc}}$.}
@@ -269,7 +269,7 @@ the ratios of lengths and the parallelism of lines are not preserved.
     \item[Vanishing point] \marginnote{Vanishing point}
         Intersection point of lines that are parallel in the scene but not in the image plane.
 
-        \begin{figure}[h]
+        \begin{figure}[H]
             \centering
             \includegraphics[width=0.6\textwidth]{./img/_vanishing_point.pdf}
             \caption{Example of vanishing point}
@@ -402,7 +402,7 @@ the ratios of lengths and the parallelism of lines are not preserved.
 
 The image plane of a camera converts the received irradiance into electrical signals.
 
-\begin{figure}[h]
+\begin{figure}[H]
     \centering
     \includegraphics[width=0.6\textwidth]{./img/_digitalization.pdf}
     \caption{Image digitalization steps}

src/year1/image-processing-and-computer-vision/module1/sections/_spatial_filtering.tex

@@ -62,7 +62,7 @@ where $\tilde{I}(p)$ is the real information.
 
         Alternatively, it can be seen as the amount of overlap between $f(\tau)$ and $g(t - \tau)$.
 
-        \begin{figure}[h]
+        \begin{figure}[H]
             \centering
             \includegraphics[width=0.4\textwidth]{./img/continuous_convolution_example.png}
             \caption{Example of convolution}