Answers: last points

Article/biblio.bib

@@ -317,3 +317,16 @@ in urban imagery},
  optdoi = {10.1109/CVPR.2009.5206872},
  optpublisher = {ACM}
 }
+
+
+@inproceedings{AlmazanAl17,
+ author = {Almaz\`an, Emilio J. and Tal, Ron and Qian, Yiming
+           and Elder, James H.},
+ title = {{MCMLSD}: a dynamic programming approach to line segment detection},
+ booktitle = {IEEE International Conference
+              on Computer Vision and Pattern Recognition},
+ year = {2017},
+ optmonth = {July},
+ optlocation = {Honolulu, Hawaii},
+ pages = {2031--2039}
+}

Article/expe.tex

@@ -4,7 +4,8 @@
 
 In the experimental stage, the proposed approach is validated through
 comparisons with other recent line detectors: LSD \cite{GioiAl10},
-ED-Lines \cite{AkinlarTopal12} and CannyLines \cite{LuAl15}.
+ED-Lines \cite{AkinlarTopal12} and CannyLines \cite{LuAl15},
+\modifRev {also written in C-like language and without any parameter settings}.
 Only LSD provides a thickness value
 based on the width of regions with same gradient direction.
 This information does not match the line sharpness or scattering quality
@@ -31,9 +32,11 @@ matched input segment is measured.
 Results in \RefTab{tab:synth} show that the new concepts afford
 improved thickness and angle measurements, better precision
 with a smaller amount of false detections, and that they help to find
-most of the input segments.
-Other experiments, also available at the {\it GitHub} repository, confirm
-these improvements.
+%most of the input segments.
+most of input segments.
+%Other experiments, also available at the {\it GitHub} repository, confirm
+%these improvements.
+\modifRev{More details can be found at the {\it GitHub} repository.}
 
 \begin{table}
 \centering

Article/intro.tex

@@ -6,13 +6,14 @@ Straight lines are commonly used as visual features for many image analysis
 processes.
 In particular in man-made environments, they are a suitable alternative
 to points for camera orientation \cite{DenisAl08,XuAl17}, 3D reconstruction
-\cite{ParkAl15,ZaheerAl18}
+%\cite{ParkAl15,ZaheerAl18}
+\modifRev{\cite{ParkAl15}}
 or also simultaneous localization and mapping
 \cite{HiroseSaito12,RuifangAl17}.
 
 Therefore, straight line detection is always an active research topic
 centered on the quest of still faster, more accurate or more robust-to-noise
-methods \cite{AkinlarTopal12,GioiAl10,LuAl15,MatasAl00}.
+methods \modifRev{\cite{AkinlarTopal12,AlmazanAl17,GioiAl10,LuAl15,MatasAl00}}.
 Most of the times, they rely on the extraction of an edge map based
 on gradient magnitude. Gradient orientation is often used to discriminate
 candidates and thus provide better efficiency.

Article/method.tex

@@ -199,6 +199,8 @@ In supervised context, the user draws an input stroke across the specific
 edge that he wants to extract from the image.
 The detection method previously described is continuously run during mouse
 dragging and the output blurred segment is displayed on-the-fly.
+\modifRev{More details about supervised mode are available
+in \cite{KerautretEven09}.}
 
 An option, called {\it multi-detection} (Algorithm 1), allows the
 detection of all the segments crossed by the input stroke $AB$.

Methode/answerToReview.tex

@@ -93,13 +93,15 @@ for comparisons, this method has several ranking level parameters which could
 largely influence achieved results.
 Moreover, the code is written in Matlab. To ensure a fair comparison of time
 performance, it would require a complete re-programming in C-like language,
-that could produce possible rewritting bias.
+that could produce possible rewritting bias. \\
+We briefly mention it at the beginning of section 4.
 \begin{todo}
-Ajouter la publi dans l'etat de l'art et un laius dans la partie expe
-pour dire qu'il n'est pas immediat de se comparer avec, et qu'on ne retient
-que les m\'ethodes les plus proches en terme d'architecture.
-DETAIL : voir si le protocole de comparaison propos\'e peut \^etre pris
-en compte dans la r\'eponse.
+Done.
+Par contre pour que \c ca rentre adns les 11 pages, j'ai du sabrer la fin
+du paragraphe au dessus du tableau 1. \\
+DETAIL : v\'erifier s'il y a lieu de prendre en compte le protocole de
+comparaison propos\'e dans ce papier. Auquel cas, il faut peut-\^etre
+aussi r\'epondre \`a ce sujet.
 \end{todo}
 \end{answer}
 
@@ -156,10 +158,11 @@ We guess that such ground truth would closely depend on application
 requirements.
 Thus, we rather concentrate here on the automatic detection novelties,
 assuming that achieved performance on all segments also impact the manual
-detection of one or several line segments.
+detection of one or several line segments. \\
+A sentence was added at the end of first paragraph of section 3.5 to refer
+to the former paper for more details on the supervised mode.
 \begin{todo}
-V\'eriier que dans la partie supervis\'ee, on ne pr\'esente rien de
-sp\'ecifique, sinon, peut-\^etre qq chose \`enlever pour gagner de la place.
+Done.
 \end{todo}
 \end{answer}