diff --git a/Poster/posterICIAP.tex b/Poster/posterICIAP.tex
index f8c4462bb97b53f3001196cc3a557be1338e1199..0347ce6b03816d7d1220dd1013164345edad7c62 100755
--- a/Poster/posterICIAP.tex
+++ b/Poster/posterICIAP.tex
@@ -9,6 +9,7 @@
%\usepackage{wallpaper}
\usepackage{url}
\usepackage[latin1]{inputenc}
+\usepackage{enumitem}
%\usepackage[utf8]{inputenc}
%\usepackage[T1]{fontenc}
@@ -141,7 +142,7 @@ Thick Line Segment Detection with Fast Directional Tracking \\
\end{minipage}
\begin{minipage}{0.7\textwidth}
\normalfont \sffamily \Large
- \hspace{3.0cm}
+\centering
\textbf{Philippe Even $^1$, Phuc Ngo $^1$ and Bertrand Kerautret $^2$} \\
$^1$ Universit\'e de Lorraine, LORIA, Nancy, France,
\url{Philippe.Even,Hoai-Diem-Phuc.Ngo@loria.fr} \\
@@ -165,11 +166,13 @@ Thick Line Segment Detection with Fast Directional Tracking \\
\put(0,90){\line(1,0){2080}}
{\Large
\put(200,40){\makebox(100,40)[l]{{\bf Online demonstration}:
- {\tt http://ipol-geometry.loria.fr/~kerautre/ipol\_demo/FBSD\_IPOLDemo}}}
+ {\tt \url{http://ipol-geometry.loria.fr/~kerautre/ipol_demo/FBSD_IPOLDemo}}}}
\put(200,0){\makebox(100,40)[l]{{\bf Available source code}:
- {\tt https://github.com/evenp/FBSD}}}
+ {\tt \url{https://github.com/evenp/FBSD}}}}
}
\put(150,0){\line(1,0){1780}}
+ \put(-10 ,-50){\includegraphics[width=0.065\textwidth]{Illust/qrCodeGithub.eps}}
+ \put(1950 ,-50){\includegraphics[width=0.065\textwidth]{Illust/qrCodeIPOL.eps}}
\end{picture}
%-------------------------------------------------------------------------------
@@ -217,7 +220,7 @@ Thick Line Segment Detection with Fast Directional Tracking \\
\begin{minipage}{0.64\textwidth}
{\flushleft
\begin{minipage}{0.6\textwidth}
- \section*{Underlying discrete geometry notions}
+ \section{Underlying discrete geometry notions}
\begin{itemize}
\item {\bf Digital straight line (DSL)} $\mathcal{L}(a,b,c,\nu)$,
with $(a,b,c,\nu) \in \mathbb{Z}^4$:
@@ -265,7 +268,7 @@ Thick Line Segment Detection with Fast Directional Tracking \\
\begin{tabular}{lcr}
\fbox{
\begin{minipage}{0.40\textwidth}
- \section*{Main process workflow}
+ \section{Main process workflow}
\input{Illust/workflow3}
\begin{itemize}
\item {\bf Parameters}: initial assigned thickness $\varepsilon_0$,
@@ -280,10 +283,11 @@ Thick Line Segment Detection with Fast Directional Tracking \\
based on size, sparsity or close orientation to input stroke.
\item {\bf Fine tracking}:
construction and extension of the final blurred segment from
- candidates based on local maxima of the gradient magnitude and
- with controlled gradient direction found in each scan of an
- adaptive directional scan aligned on the initial blurred segment
- direction.
+ candidates:
+ \begin{itemize}[itemindent=50pt]
+ \item[$\rightarrow$] based on local maxima of the gradient magnitude.
+ \item[$\rightarrow$] constraint on gradient direction.
+ \end{itemize}
\item {\bf Acceptation}: minimal final size and sparsity.
\end{itemize}
\end{minipage}
@@ -296,7 +300,7 @@ Thick Line Segment Detection with Fast Directional Tracking \\
\end{minipage} &
\fbox{
\begin{minipage}{0.56\textwidth}
- \section*{Adaptive Directional Scan (ADS)}
+ \section{Adaptive Directional Scan (ADS)}
\begin{itemize}
\item[$\Rightarrow$]
Control of the scan strip based \\
@@ -377,9 +381,9 @@ Thick Line Segment Detection with Fast Directional Tracking \\
\vskip 1cm
\noindent
\begin{tabular}{lcr}
- \fbox{
+ $\vcenter{\hbox{ \fbox{
\begin{minipage}{0.37\textwidth}
- \section*{Multiple line detection algorithm}
+ \section{Multiple line detection algorithm}
\begin{itemize}
\item {\bf Input}: stroke $AB$, occupancy mask $\mathcal M$,
initial assigned thickness $\varepsilon_0$
@@ -401,28 +405,29 @@ Thick Line Segment Detection with Fast Directional Tracking \\
\end{enumerate}
\end{itemize}
\end{minipage}
- } &
+ }}}$ &
%-------------------------------------------------------------------------------
% ALGO ILLUST
%-------------------------------------------------------------------------------
-
+$\vcenter{\hbox{
\begin{minipage}{0.24\textwidth}
\begin{center}
% \includegraphics[width=0.9\textwidth]{./Illust/detailBuro.eps} \\
- \includegraphics[width=0.5\textwidth]{./Illust/IAPR2.eps}
- \includegraphics[width=0.4\textwidth]{./Illust/CVPL2.eps}
+ % \includegraphics[width=0.5\textwidth]{./Illust/IAPR2.eps}
+ % \includegraphics[width=0.4\textwidth]{./Illust/CVPL2.eps}
\includegraphics[width=0.9\textwidth]{./Illust/castle.eps}
\end{center}
\end{minipage}
-
+}}$
%-------------------------------------------------------------------------------
% ALGO AUTO
%-------------------------------------------------------------------------------
-
+$\vcenter{\hbox{
\fbox{
\begin{minipage}{0.36\textwidth}
- \section*{Automatic line detection algorithm}
+ \section{Automatic line detection algorithm}
+ \label{autoStep}
\begin{itemize}
\item {\bf Input}:
image $\mathcal{I}$, sweeping step $\delta$
@@ -439,7 +444,7 @@ Thick Line Segment Detection with Fast Directional Tracking \\
\end{enumerate}
\end{itemize}
\end{minipage}
- }
+ }}}$
\end{tabular}
%-------------------------------------------------------------------------------
@@ -451,7 +456,7 @@ Thick Line Segment Detection with Fast Directional Tracking \\
\begin{tabular}{lcr}
\fbox {
\begin{minipage}{0.56\textwidth}
- \section*{Comparison with other line detectors}
+ \section{Comparison with other line detectors}
\noindent
\begin{tabular}{ccc}
\includegraphics[width=0.325\textwidth]{./Illust/P1020928.eps} &
@@ -506,7 +511,7 @@ Thick Line Segment Detection with Fast Directional Tracking \\
\input{Illust/statsTable2}
\end{center}
- \begin{picture}(10,76)(0,0) \end{picture} \\
+ \begin{picture}(10,56)(0,0) \end{picture} \\
{\large \bf Conclusion} \\
\hspace{1.0cm} $\Rightarrow$
Competitive performance compared to other classic detectors. \\
@@ -516,6 +521,8 @@ Thick Line Segment Detection with Fast Directional Tracking \\
{\large \bf Perspectives} \\
\hspace{1.0cm} $\Rightarrow$
+ Reduce the line detection from predefined seeds (for Section \ref{autoStep}).\\
+ \hspace{1.0cm} $\Rightarrow$
Reduce sensitivity to initial conditions based on
local context characterization. \\
\hspace{1.0cm} $\Rightarrow$