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\section{Questionnaire}\label{quest}
\begin{figure}[!htbp]
\centering
\scalebox{0.755}{\centerline{\includegraphics{pictures/dotaznikfp.pdf}}}
\end{figure} 

\includepdf[pages={2-11},offset = 8 0, templatesize={390pt}{700pt}, pagecommand={}]{pictures/dotaznik.pdf}
\phantomsection
\label{qs}
\includepdf[pages={12-13},offset = 8 0, templatesize={390pt}{700pt}, pagecommand={}]{pictures/dotaznik.pdf}

\section{Questionnaire results}\label{quest_res}

\subsection*{Part I -- Visualization of intersecting surfaces}
\bigskip
\begin{itemize}
\item{How well does the visualization convey shapes of individual models?}
\end{itemize}

\begin{figure}[!htbp]
\centering
\scalebox{0.6}{\includegraphics{pictures/ev2p.pdf}}
\end{figure} 

\begin{itemize}
\item{How well does the visualization convey differences between models?}
\end{itemize}

\begin{figure}[!htbp]
\centering
\scalebox{0.6}{\includegraphics{pictures/ev3p.pdf}}
\end{figure} 

For visualizations corresponding to Visualization \# please refer to page \pageref{qs}.

\newpage
\subsection*{Part II -- Visualization of surface cross sections}

\begin{itemize}
\item{How well does this visualization convey variability in a set of models at specific (sampling) points?}
\end{itemize}
\begin{figure}[!htbp]
\centering
\scalebox{0.38}{\includegraphics{pictures/ev4p.pdf}}
\end{figure} 

\begin{itemize}
\item{Does this visualization convey local variability better or worse than color map on surface?}
\end{itemize}
\begin{figure}[!htbp]
\centering
\scalebox{0.38}{\includegraphics{pictures/ev5p.pdf}}
\end{figure} 

\begin{itemize}
\item{Is this visualization contributory to variability perception and analysis?}
\end{itemize}
\begin{figure}[!htbp]
\centering
\scalebox{0.38}{\includegraphics{pictures/ev6p.pdf}}
\end{figure} 

\newpage
\subsection*{Part III -- Visualization of numerical results for whole dataset}
\begin{itemize}
\item{How well does the visualization convey variability in a set of models?}
\end{itemize}
\begin{figure}[!htbp]
\centering
\scalebox{0.7}{\includegraphics{pictures/ev7p.pdf}}
\end{figure} 

\begin{itemize}
\item{Is the visualization contributory to analysis of facial dataset?}
\end{itemize}
\begin{figure}[!htbp]
\centering
\scalebox{0.7}{\includegraphics{pictures/ev8p.pdf}}
\end{figure} 


\newpage
\subsection*{Summary}
\begin{itemize}
\item{Select a visualization which would be in your opinion best suited for:}
\begin{enumerate}
\item Verifying the alignment of the models.
\item Analyzing shape of the models.
\item Comparing two models.
\item Analyzing local variability of models.
\item Analyzing a set of models (comparison, variability, etc.).
  \end{enumerate}
\end{itemize}
\begin{figure}[!htbp]
\centering
\scalebox{0.9}{\centerline{\includegraphics[trim=0.5cm 9cm 0.5cm 11cm]{pictures/dotazniksheet.pdf}}}
\end{figure} 

For visualizations corresponding to Visualization \# please refer to page \pageref{qs}.

\newpage
\section{User guide}
To present the results of my work I created an executable standalone application, where the visualization methods described in this thesis are implemented.
\subsection*{Main menu}
The main window of the application is split into two parts -- Editor window (on the left) and Properties window (on the right). After the start of the application, main menu is displayed in the Editor window. The menu consists of three buttons -- \textit{Surfaces, Slices} and \textit{Plots} -- see Figure \ref{mm}. \textit{Surfaces} button leads to surface superimposition visualization techniques, \textit{Slices} leads to visualizations based on cross-sectional slices and \textit{Plots} leads to heat plot visualizations for numerical and auxiliary results.
\begin{figure}[!htbp]
\centering
\scalebox{0.3}{\includegraphics{pictures/mainmenu.png}}
\caption{Main menu of the application.}\label{mm}
\end{figure} 

\subsection*{Surfaces}
In \textit{Surfaces} mode (Figure \ref{sm}), the Editor window serves for displaying two nested 3D models. The models can be rotated and zoomed either by embedded buttons or by mouse -- left mouse button press \& drag for rotation, right mouse button press \& drag for movement and wheel for zooming.

The two models can be loaded using \textit{Load\ldots} buttons in Properties window. Using other controls in this window visualization properties, such as colors  or transparency can be adjusted. Controls for turning on and off the visualization features -- glyphs, fog simulation and intersection contours -- are also situated here.

The displayed image can be exported into high resolution PNG file by \textit{Export visual results\ldots} button, which opens new window for name and location selection. This functionality can be found in other parts of the application as well.

\bigskip
\bigskip
\begin{figure}[!htbp]
\centering
\scalebox{0.3}{\includegraphics{pictures/surfaces.png}}
\caption{Surface superimposition visualization in the application.}\label{sm}
\end{figure} 

\newpage
\subsection*{Slices}
In \textit{Slices} mode (Figure \ref{slm}), the Editor window is split into two parts. In the left part of the window the average model with intersection plane is displayed. The plane can be adjusted by dragging the arrow gizmo -- left mouse button for rotation of the plane, right mouse button for adjusting the position.

Right part of the Editor window is dedicated to 2D view of model intersections with the plane. This view can again be zoomed (mouse wheel) and moved (left mouse button).

The buttons for loading average (primary) model and the rest of the models from dataset are situated in Properties window, along with controls for plane position and visualization features. The users can quickly set plane orientation along one of the world axis or manually enter normal of the plane.

\bigskip
\bigskip
\begin{figure}[!ht]
\centering
\scalebox{0.3}{\includegraphics{pictures/slicesapp.png}}
\caption{Visualization based on cross sections in the application.}\label{slm}
\end{figure} 
\newpage
\subsection*{Plots}
The heat plot visualization differs based on the loaded data. In both cases the heat plot is situated in Editor window and the values can be filtered using interactive scale displayed on the right side of the plot. 

Additionally, in case of numerical results, the heat plot values can be sorted by invoking pop-up menu over the plot entry (right mouse button click) and selecting one of the options -- see Figure \ref{nm}. The exact values of heat plot cells can be displayed by hovering over the cell. The histogram, which can be displayed in separate window, shows the distribution of values in the dataset.
\bigskip

\begin{figure}[!htbp]
\centering
\scalebox{0.3}{\includegraphics{pictures/numapp.png}}
\caption{Visualization for numerical results in the application.}\label{nm}
\end{figure} 
\bigskip

In case of auxiliary results, the zoomed area can be adjusted by dragging the zooming window (purple rectangle) along the selected row of heat plot -- see Figure \ref{am}. Concerning the histogram, it shows the distribution of values in selected row or in entire dataset if nothing is selected. 

\begin{figure}[!htbp]
\centering
\scalebox{0.3}{\includegraphics{pictures/auxapp.png}}
\caption{Visualization for auxiliary results in the application.}\label{am}
\vspace*{4in}
\end{figure} 



\newpage
\section{Thesis Archive in IS MU}
This appendix contains a list of files that accompany this text in the thesis archive in the Masaryk University Information System \footnote{The archive is accessible at \url{http://is.muni.cz/th/374538/fi_m/}.}.
\begin{itemize}
\item{Text of the this thesis in PDF.}
\item{LaTeX source files and figures used in this thesis.}
\item{Executable application containing the visualization techniques described in this work.}
\item{Source files of the application.}
\item{Test data for the application.}
\end{itemize}

