From a0651121b5bf29743e19e69dd0421fedb0a8b2fd Mon Sep 17 00:00:00 2001 From: Thibaut Horel Date: Sun, 4 Mar 2012 02:19:04 -0800 Subject: Some cosmetics changes. Fix the frame distribution plot, one point was missing also output plots directly in the right directory now --- experimental.tex | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) (limited to 'experimental.tex') diff --git a/experimental.tex b/experimental.tex index b30ba10..b96893a 100644 --- a/experimental.tex +++ b/experimental.tex @@ -35,6 +35,7 @@ capture the 3D coordinates of 20 body joints, and the color image. \begin{center} \includegraphics[width=0.99\textwidth]{graphics/hallway.png} \end{center} + \vspace{-\baselineskip} \caption{Experiment setting. Color image, depth image, and fitted skeleton as captured by the Kinect in a single frame} \label{fig:hallway} @@ -99,8 +100,9 @@ the skeleton in a contiguous way. This allows us to define the concept of a \begin{figure}[t] \begin{center} - \includegraphics[width=0.49\textwidth]{graphics/frames.pdf} + \includegraphics[width=0.60\textwidth]{graphics/frames.pdf} \end{center} + \vspace{-1.5\baselineskip} \caption{Distribution of the frame ratio of each individual in the data set} \label{fig:frames} @@ -215,6 +217,7 @@ algorithm and would thus bias the results in favor of skeleton recognition. \begin{center} \includegraphics[width=0.49\textwidth]{graphics/face.pdf} \end{center} + \vspace{-1.5\baselineskip} \caption{Precision-recall curve for face recognition and skeleton recognition} \label{fig:face} } @@ -222,6 +225,7 @@ algorithm and would thus bias the results in favor of skeleton recognition. \begin{center} \includegraphics[width=0.49\textwidth]{graphics/back.pdf} \end{center} + \vspace{-1.5\baselineskip} \caption{Precision-recall curve with people walking away from and toward the camera} @@ -293,6 +297,7 @@ the newly obtained data set. \begin{center} \includegraphics[width=0.49\textwidth]{graphics/var.pdf} \end{center} + \vspace{-1.5\baselineskip} \caption{Precision-recall curve for the sequential hypothesis testing algorithm in the online setting for all the people with and without halving the variance of the noise} -- cgit v1.2.3-70-g09d2