Added details to work distribution.

docs/report.tex

@@ -532,7 +532,7 @@ neighbourhoods.
 \subsubsection*{Faulty classified characters}
 
 As we do not have a $100\%$ score, it is interesting to see what characters are
-classified wrong. These characters are shown in appendix \ref{faucla}. Most of
+classified wrong. These characters are shown in appendix \ref{fcc}. Most of
 these errors are easily explained. For example, some 0's are classified as
 'D', some 1's are classified as 'T' and some 'F's are classified as 'E'.
 
@@ -661,7 +661,7 @@ The first problem was that the dataset contains a lot of license plates which
 are problematic to read, due to excessive amounts of dirt on them. Of course,
 this is something you would encounter in the real situation, but it made it
 hard for us to see whether there was a coding error or just a bad example.
-
+aucla
 Another problem was that there were license plates of several countries in
 the dataset. Each of these countries has it own font, which also makes it
 hard to identify these plates, unless there are a lot of these plates in the
@@ -694,31 +694,27 @@ Some additional 'basics' where created in similar fashion. This ensured that
 every team member was up-to-date and could start figuring out which part of the
 implementation was most suited to be done by one individually or in a pair.
 
-\subsubsection*{Who did what}
+\subsubsection*{Work distribution}
 
 Gijs created the basic classes we could use and helped everyone by keeping
 track of what was required to be finished and whom was working on what.
-Tadde\"us and Jayke were mostly working on the SVM and all kinds of tests
-whether the histograms were matching, and what parameters had to be used.
-Fabi\"en created the functions to read and parse the given xml files with
-information about the license plates. Upon completion all kinds of learning
-and data sets could be created. Richard helped out wherever anyone needed a
-helping hand, and was always available when someone had doubts about what they
-where doing or needed to ask something. He also wrote an image cropper that
-automatically exactly cuts out a character, which eventually turned out to be
-obsolete.
-
-\subsubsection*{How it went}
-
-Sometimes one cannot hear the alarm bell and wake up properly. This however was
-not a big problem as no one was afraid of staying at Science Park a bit longer
-to help out. Further communication usually went through e-mails and replies
-were instantaneous! A crew to remember.
+Gijs also worked with Tadde\"us on the Local Binary Patterns code.
+Tadde\"us and Jayke worked on the SVM and Tadde\"us wrote all kinds of tests
+for testing what part went good and what went wrong, and what parameters had
+to be used. Fabi\"en created the functions to read and parse the given XML
+files with information about the license plates. Upon completion all kinds
+of learning and data sets could be created. Richard helped out wherever
+anyone needed a helping hand, and was always available when someone had
+doubts about what they where doing or needed to ask something. He also wrote
+an image cropper that exactly cuts out a character, which eventually turned
+out to be obsolete. The work on the report was mainly done by Jayke, assisted
+by Fabi\"en and Richard and the technical details were filled in by Gijs and
+Tadde\"us.
 
 \appendix
 
 \section{Faulty classified characters}
-\label{faucla}
+\label{fcc}
 
 \begin{figure}[H]
     \hspace{-2cm}