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authorThibaut Horel <thibaut.horel@gmail.com>2012-03-05 03:53:21 -0800
committerThibaut Horel <thibaut.horel@gmail.com>2012-03-05 03:53:21 -0800
commitbc6242856f007f32319aa503efd7efbdc043bf4c (patch)
tree6f05d44c304f40fb00f182f5e388e6f1147ab69c /uniqueness.tex
parent4777da8bcee956f100dcce83c8d0be565fc693cc (diff)
downloadkinect-bc6242856f007f32319aa503efd7efbdc043bf4c.tar.gz
Some other changes
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diff --git a/uniqueness.tex b/uniqueness.tex
index d3b4822..66f21a4 100644
--- a/uniqueness.tex
+++ b/uniqueness.tex
@@ -60,12 +60,12 @@ threshold, and \emph{unmatched} otherwise. Formally, let
$(\bs_1,\bs_2)$ be an input pair of the algorithm
($\bs_i\in\mathbf{R}_+^{6}$, are the six bone measurements), the
output of the algorithm for the threshold $\delta$ is defined as:
-\begin{displaymath}
+\begin{equation}
A_\delta(\bs_1,\bs_2) = \begin{cases}
1 & \text{if $d(\bs_1,\bs_2) < \delta$}\\
0 & \text{otherwise}
\end{cases}
-\end{displaymath}
+\end{equation}
\begin{figure}[t]
\begin{center}