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Kerautret Bertrand
2019 FBSD
Commits
29a6d7ff
Commit
29a6d7ff
authored
5 years ago
by
even
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Poster: colored frames
parent
03dd557a
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Poster/Illust/LIRIS.eps
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Poster/Illust/LIRIS.eps
Poster/Illust/LORIA2.eps
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Poster/Illust/LORIA2.eps
Poster/posterICIAP.tex
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Poster/posterICIAP.tex
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%%EndProlog
%%Page: 1 1
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%%EndProlog
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Poster/posterICIAP.tex
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−
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@@ -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
2
cm
\vskip
1
cm
\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
(1
50,0
)
{
\line
(1,0)
{
17
80
}}
\put
(-10
,-50)
{
\includegraphics
[width=0.065\textwidth]
{
Illust/qrCodeGithub.eps
}}
\put
(19
50
,-50)
{
\includegraphics
[width=0.065\textwidth]
{
Illust/qrCodeIPOL.eps
}}
{
\tt
\url
{
https://github.com/evenp/FBSD
}}}}
}
\put
(1
44,-4
)
{
\line
(1,0)
{
17
94
}}
\put
(-10,-50)
{
\includegraphics
[width=0.065\textwidth]
{
Illust/qrCodeGithub.eps
}}
\put
(19
60
,-50)
{
\includegraphics
[width=0.065\textwidth]
{
Illust/qrCodeIPOL.eps
}}
\end{picture}
%-------------------------------------------------------------------------------
% CONTRIBUTIONS
%-------------------------------------------------------------------------------
\vskip
2cm
\vskip
2
.5
cm
\noindent
\begin{tabular}
{
lcr
}
\
f
box
{
\
m
box
{
\begin{minipage}
{
0.32
\textwidth
}
{
{
\flushleft
...
...
@@ -213,7 +211,7 @@ Thick Line Segment Detection with Fast Directional Tracking \\
%-------------------------------------------------------------------------------
% NOTIONS
%-------------------------------------------------------------------------------
\
f
box
{
\
m
box
{
\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.
5
cm
\vskip
0.
0
cm
\noindent
\begin{tabular}
{
lcr
}
\
f
box
{
\
m
box
{
\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
[$\rightarrow$]
constrain
t on
gradient direction.
\end{itemize}
\begin{itemize}
[itemindent=50pt]
\item
[$\rightarrow$]
based on local maxima of gradient magnitude
,
\item
[$\rightarrow$]
with
constrain
ed
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
}
\
f
box
{
\
m
box
{
\begin{minipage}
{
0.56
\textwidth
}
\section
{
Comparison with other line detectors
}
\noindent
...
...
@@ -506,9 +511,9 @@ $\vcenter{\hbox{
% PERF TESTS ON SYNTH IMAGES
%-------------------------------------------------------------------------------
\
f
box
{
\
m
box
{
\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).
\\
{
\
l
arge
\bf
Perspectives
}
\\
\begin{picture}
(10,8)(0,0)
\end{picture}
\\
{
\
L
arge
\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.
\\
...
...
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