diff --git a/Poster/Illust/LIRIS.eps b/Poster/Illust/LIRIS.eps
index bd5fbe90f27ccc4019ffe756e9f5314a41c0cff7..edec2f1676c4476d90833166f701445b197d8710 100644
--- a/Poster/Illust/LIRIS.eps
+++ b/Poster/Illust/LIRIS.eps
@@ -13,7 +13,7 @@
%%EndProlog
%%Page: 1 1
% Translate for offset
-14.173228346456694 14.173228346456694 translate
+30 14.173228346456694 translate
% Translate to begin of first scanline
0 71.994330708661408 translate
159.98740157480313 -71.994330708661408 scale
diff --git a/Poster/Illust/LORIA2.eps b/Poster/Illust/LORIA2.eps
index d6163411102e876bc68d76e8106194e901b4de97..22fb5538dc7b2446c7c9eed446e82f9fcc5406bc 100644
--- a/Poster/Illust/LORIA2.eps
+++ b/Poster/Illust/LORIA2.eps
@@ -13,7 +13,7 @@
%%EndProlog
%%Page: 1 1
% Translate for offset
-14.173228346456694 14.173228346456694 translate
+-52 14.173228346456694 translate
% Translate to begin of first scanline
0 541.43488198428986 translate
1199.5086614173231 -541.43488198428986 scale
diff --git a/Poster/posterICIAP.tex b/Poster/posterICIAP.tex
index 178e0ddfd53ccab262a520cb1f11b3edafeae385..92ca525759a387cce3c8b748ee46e188356ecc75 100755
--- a/Poster/posterICIAP.tex
+++ b/Poster/posterICIAP.tex
@@ -29,6 +29,7 @@
\definecolor{VertClair}{rgb}{0.85, 1.0, 0.65}
\definecolor{Bleu}{rgb}{0.0, 0.0, 1.0}
\definecolor{BleuSombre}{rgb}{0.0, 0.0, 0.8}
+\definecolor{Belge}{rgb}{0.96, 0.96, 0.8}
\definecolor{PartColor}{rgb}{0.0, 0.5, 0.0}
\newrgbcolor{lcolor}{0. 0. 0.80}
@@ -66,10 +67,6 @@
-
-
-
-
\newenvironment{colonne}[1]{
\begin{minipage}[t]{#1\textwidth}
\begin{center}
@@ -98,19 +95,12 @@
}
-%\setlength{\wpYoffset}{-2.5cm}
-
-
\begin{document}
-
%----------------------------------------------------------------
-%
% Image de fond
%\wpYoffset{0.2cm}
-
-
%\CenterWallPaper{1.08}{./Illust/porte2.eps}
\pagecolor{VertClair}
@@ -121,65 +111,73 @@
-
-
-
\begin{poster}{
+ \begin{colonne}{0.98}
+ \begin{center}
+ Thick Line Segment Detection with Fast Directional Tracking \\
+ \end{center}
-\begin{colonne}{0.98}
-%\psframe[linewidth=2mm,framearc=0.2,linecolor=lightblue,framesep=1em](-47,0)(47,-12.5)
-\begin{center}
-Thick Line Segment Detection with Fast Directional Tracking \\
-\end{center}
-
-\vskip 1cm
-%\hskip 12cm
-\begin{minipage}{0.14\textwidth}
- \includegraphics[width=\textwidth]{./Illust/LORIA2.eps}
-\end{minipage}
-\begin{minipage}{0.7\textwidth}
- \normalfont \sffamily \Large
-\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} \\
- $^2$ Universit\'e Lyon 2, LIRIS, Lyon, France,
- \url{Bertrand.Kerautret@univ-lyon2.fr}
-\end{minipage}
-\begin{minipage}{0.14\textwidth}
- \includegraphics[width=\textwidth]{./Illust/LIRIS.eps}
-\end{minipage}
-%\hskip 5cm
-%\hfill
-\end{colonne}
+ \vskip 1cm
+ \begin{minipage}{0.14\textwidth}
+ \includegraphics[width=\textwidth]{./Illust/LORIA2.eps}
+ \end{minipage}
+ \begin{minipage}{0.7\textwidth}
+ \normalfont \sffamily \Large
+ \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} \\
+ $^2$ Universit\'e Lyon 2, LIRIS, Lyon, France,
+ \url{Bertrand.Kerautret@univ-lyon2.fr}
+ \end{minipage}
+ \begin{minipage}{0.14\textwidth}
+ \includegraphics[width=\textwidth]{./Illust/LIRIS.eps}
+ \end{minipage}
+ \end{colonne}
}
+%-------------------------------------------------------------------------------
+% FRAMES
+%-------------------------------------------------------------------------------
+
+\begin{pspicture}(2,0.8)(0,0)
+ \psframe[fillstyle=solid,fillcolor=Belge](-0.4,-21)(24.2,-6.5)
+ \psframe[fillstyle=solid,fillcolor=Belge](25.4,-21)(73.8,-6.5)
+ \psframe[fillstyle=solid,fillcolor=Belge](-0.4,-42.8)(30.2,-21.6)
+ \psframe[fillstyle=solid,fillcolor=Belge](31.4,-42.8)(73.8,-21.6)
+ \psframe[fillstyle=solid,fillcolor=Belge](-0.4,-55)(73.8,-43.4)
+ \psframe[fillstyle=solid,fillcolor=Belge](-0.4,-89.6)(42,-55.6)
+ \psframe[fillstyle=solid,fillcolor=Belge](43.2,-79.6)(73.8,-55.6)
+ \psframe[fillstyle=solid,fillcolor=Belge](43.2,-89.6)(73.8,-80.2)
+\end{pspicture}
+
%-------------------------------------------------------------------------------
% DEMO AND SOURCES
%-------------------------------------------------------------------------------
-\vskip 2cm
+\vskip 1cm
\begin{picture}(150,90)(0,0)
- \put(0,90){\line(1,0){2080}}
- {\Large
+ %\put(-10,138){\line(1,0){2106}}
+ \put(-10,90){\line(1,0){2106}}
+ {\Large
\put(200,40){\makebox(100,40)[l]{{\bf Online demonstration}:
- {\tt \url{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 \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}}
+ {\tt \url{https://github.com/evenp/FBSD}}}}
+ }
+ \put(144,-4){\line(1,0){1794}}
+ \put(-10,-50){\includegraphics[width=0.065\textwidth]{Illust/qrCodeGithub.eps}}
+ \put(1960,-50){\includegraphics[width=0.065\textwidth]{Illust/qrCodeIPOL.eps}}
\end{picture}
%-------------------------------------------------------------------------------
% CONTRIBUTIONS
%-------------------------------------------------------------------------------
-\vskip 2cm
+\vskip 2.5cm
\noindent
\begin{tabular}{lcr}
- \fbox{
+ \mbox{
\begin{minipage}{0.32\textwidth}
{
{\flushleft
@@ -213,7 +211,7 @@ Thick Line Segment Detection with Fast Directional Tracking \\
%-------------------------------------------------------------------------------
% NOTIONS
%-------------------------------------------------------------------------------
- \fbox{
+ \mbox{
\begin{minipage}{0.64\textwidth}
{\flushleft
\begin{minipage}{0.6\textwidth}
@@ -272,13 +270,13 @@ Thick Line Segment Detection with Fast Directional Tracking \\
\end{tabular}
%-------------------------------------------------------------------------------
-% ADAPTIVE SCANS
+% WORKFLOW
%-------------------------------------------------------------------------------
-\vskip 0.5cm
+\vskip 0.0cm
\noindent
\begin{tabular}{lcr}
- \fbox{
+ \mbox{
\begin{minipage}{0.40\textwidth}
\section{Main process workflow}
\input{Illust/workflow3}
@@ -296,21 +294,23 @@ Thick Line Segment Detection with Fast Directional Tracking \\
\item {\bf Fine tracking}:
construction and extension of the final blurred segment from
candidates:
- \begin{itemize}[itemindent=50pt]
- \item[$\rightarrow$] based on local maxima of the gradient magnitude.
- \item[$\rightarrow$] constraint on gradient direction.
- \end{itemize}
+ \begin{itemize}[itemindent=50pt]
+ \item[$\rightarrow$] based on local maxima of gradient magnitude,
+ \item[$\rightarrow$] with constrained gradient direction.
+ \end{itemize}
\item {\bf Acceptation}: minimal final size and sparsity.
\end{itemize}
\end{minipage}
} &
\begin{minipage}{0.01\textwidth}
\begin{picture}(1,1)(0,0) \end{picture}
-% \begin{pspicture}(1,1)(0,0)
-% \psframe[fillstyle=solid,fillcolor=VertSombre](0,0)(100,100)
-% \end{pspicture}
\end{minipage} &
- \fbox{
+
+%-------------------------------------------------------------------------------
+% NEW CONCEPTS
+%-------------------------------------------------------------------------------
+
+ \mbox{
\begin{minipage}{0.56\textwidth}
\section{Adaptive Directional Scan (ADS)}
\begin{itemize}
@@ -350,7 +350,7 @@ Thick Line Segment Detection with Fast Directional Tracking \\
\put(0,0){\makebox(1,20){Fine tracking with ADS \& CAT}}
\end{picture}
\end{tabular} \\
- \section*{Control of Assigned Thickness (CAT)}
+ \section{Control of Assigned Thickness (CAT)}
\begin{itemize}
\item[$\Rightarrow$]
Fitting of $\varepsilon$ to detected BS thickness \\
@@ -393,7 +393,8 @@ Thick Line Segment Detection with Fast Directional Tracking \\
\vskip 1cm
\noindent
\begin{tabular}{lcr}
- $\vcenter{\hbox{ \fbox{
+ %$\vcenter{\hbox{
+ \mbox{
\begin{minipage}{0.37\textwidth}
\section{Multiple line detection algorithm}
\begin{itemize}
@@ -417,26 +418,30 @@ Thick Line Segment Detection with Fast Directional Tracking \\
\begin{picture}(54,10)(0,0) \end{picture}
2.2.2. Adds $\mathcal{B}$ to list $\mathcal{L}$.
\end{minipage}
- }}}$ &
+% }}}$ &
+ } &
%-------------------------------------------------------------------------------
% ALGO ILLUST
%-------------------------------------------------------------------------------
-$\vcenter{\hbox{
- \begin{minipage}{0.24\textwidth}
- \begin{center}
-% \includegraphics[width=0.9\textwidth]{./Illust/detailBuro.eps} \\
- % \includegraphics[width=0.5\textwidth]{./Illust/IAPR2.eps}
- % \includegraphics[width=0.4\textwidth]{./Illust/CVPL2.eps}
- \includegraphics[width=0.9\textwidth]{./Illust/castle.eps}
- \end{center}
- \end{minipage}
-}}$
+
+% $\vcenter{\hbox{
+ \begin{minipage}{0.24\textwidth}
+ \begin{center}
+% \includegraphics[width=0.9\textwidth]{./Illust/detailBuro.eps} \\
+% \includegraphics[width=0.5\textwidth]{./Illust/IAPR2.eps}
+% \includegraphics[width=0.4\textwidth]{./Illust/CVPL2.eps}
+ \includegraphics[width=0.9\textwidth]{./Illust/castle.eps}
+ \end{center}
+ \end{minipage}
+% }}$
+
%-------------------------------------------------------------------------------
% ALGO AUTO
%-------------------------------------------------------------------------------
-$\vcenter{\hbox{
- \fbox{
+
+%$\vcenter{\hbox{
+ \mbox{
\begin{minipage}{0.36\textwidth}
\section{Automatic line detection algorithm}
\label{autoStep}
@@ -456,7 +461,7 @@ $\vcenter{\hbox{
\end{enumerate}
\end{itemize}
\end{minipage}
- }}}$
+ }%}}$
\end{tabular}
%-------------------------------------------------------------------------------
@@ -466,7 +471,7 @@ $\vcenter{\hbox{
\vskip 1cm
\noindent
\begin{tabular}{lcr}
- \fbox {
+ \mbox {
\begin{minipage}{0.56\textwidth}
\section{Comparison with other line detectors}
\noindent
@@ -506,9 +511,9 @@ $\vcenter{\hbox{
% PERF TESTS ON SYNTH IMAGES
%-------------------------------------------------------------------------------
- \fbox{
+ \mbox{
\begin{minipage}{0.4\textwidth}
- \section*{Performance tests on synthetic images}
+ \section{Performance tests on synthetic images}
Set of 1000 synthesized images with 10 randomly placed input line
segments and random thickness from 2 up to 5 pixels. \\
\begin{tabular}{ccccc}
@@ -523,17 +528,19 @@ $\vcenter{\hbox{
\input{Illust/statsTable2}
\end{center}
- \begin{picture}(10,56)(0,0) \end{picture} \\
- {\large \bf Conclusion} \\
+% \begin{picture}(10,76)(0,0) \end{picture} \\
+ \begin{picture}(10,46)(0,0) \end{picture} \\
+ {\Large \bf Conclusion} \\
\hspace{1.0cm} $\Rightarrow$
Competitive performance compared to other classic detectors. \\
\hspace{1.0cm} $\Rightarrow$
+ Enhanced estimation of line thickness
(thanks to ADS \& CAT concepts). \\
-
- {\large \bf Perspectives} \\
+ \begin{picture}(10,8)(0,0) \end{picture} \\
+ {\Large \bf Perspectives} \\
\hspace{1.0cm} $\Rightarrow$
- Reduce the line detection from predefined seeds (for Section \ref{autoStep}).\\
+ 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. \\