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minor fixes on performances.tex 

(needs more fixes)
This commit is contained in:
Pierre Alliez 2009-08-14 12:07:48 +00:00
parent 79fdf05aa0
commit f61de989cb
1 changed files with 13 additions and 17 deletions
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Surface_reconstruction_points_3/doc_tex/Surface_reconstruction_points_3/performances.tex
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@ -1,43 +1,39 @@
\section{Performances}
\label{surface_reconstruction_section_performances}
We provide some performance numbers for scanning data. We measure the Poisson implicit function computation time, the contouring time for a variety of approximation distances, the memory occupancy and the influence of point set simplification.\\
The machine used is a PC running Linux 32 bits with an Intel CPU Core 2 processor clocked at 3 GHz and with 3 GB of RAM. The program has been compiled with g++ 4.3.1 compiler with the 03 option which maximizes speed.
We provide some performance numbers for scanning data. We measure the Poisson implicit function computation time, the contouring time for a variety of approximation distances, the memory occupancy as well as the influence of the point set simplification. The machine used is a PC running Linux 32 bits with an Intel CPU Core 2 processor clocked at 3 GHz and with 3 GB of RAM. The software is compiled with g++ 4.3.1 compiler with the 03 option which maximizes speed.
\subsection{Poisson implicit function}
The point set chosen for benchmarking the Poisson implicit function is the Bimba con Nastrino point set (1.6 million points) depicted on the next figure. We measure the Poisson implicit function computation (i.e. the call to \ccc{Poisson_reconstruction_function::compute_implicit_function()}) for this point set as well as for simplified versions computed by random simplification.
The following table provides Poisson implicit function computation times in seconds for an increasing number of points.
The point set chosen for benchmarking the Poisson implicit function is the Bimba con Nastrino point set (1.6M points) depicted by Figure~\ref{Surface_reconstruction_points_3-fig-poisson_bench}. We measure the Poisson implicit function computation (i.e., the call to \ccc{Poisson_reconstruction_function::compute_implicit_function()} denoted by Poisson solve hereafter) for this point set as well as for simplified versions obtained through random simplification. The following table provides Poisson solve computation times in seconds for an increasing number of points.
\begin{tabular}{|c|c|}
\hline
Number of points (kpoints) & Poisson duration (sec) \\
Number of points (x1000) & Poisson solve duration (in s) \\
\hline
60 & 65 \\
120 & 137 \\
250 & 282 \\
500 & 566 \\
1000 & 1130 \\
1500 & 1777 \\
1600 & 1919 \\
1,000 & 1,130 \\
1,500 & 1,777 \\
1,600 & 1,919 \\
\hline
\end{tabular}
% Insert image poisson_bench.png/.eps
\begin{center}
\label{Surface_reconstruction_points_3-fig-poisson_bench}
% Image
\begin{ccTexOnly}
\includegraphics[width=1.0\textwidth]{Surface_reconstruction_points_3/poisson_bench} % omit .eps suffix
\includegraphics[width=1.0\textwidth]{Surface_reconstruction_points_3/poisson_bench}
\end{ccTexOnly}
\begin{ccHtmlOnly}
<img width="80%" border=0 src="./poisson_bench.png"><P>
\end{ccHtmlOnly}
% Title
\begin{figure}[h]
\caption{Poisson implicit function computation duration (in seconds) against number of points,
for the Bimba con Nastrino point set with 1.6 million points (shown)
\caption{Poisson implicit function computation duration (in s)
against the number of points for the Bimba con Nastrino
point set with 1.6 million points (shown)
as well as for simplified versions.}
\end{figure}
\end{center}
@ -128,9 +124,9 @@ We measure the reconstruction error (expressed as the average distance from inpu
120 & 0.15 \\
250 & 0.11 \\
500 & 0.079 \\
1000 & 0.066 \\
1500 & 0.061 \\
1600 & 0.06 \\
1,000 & 0.066 \\
1,500 & 0.061 \\
1,600 & 0.06 \\
\hline
\end{tabular}