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1 files changed, 6 insertions, 1 deletions
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}