Add face recognition plot and plot generating code

7 files changed, 67 insertions, 1 deletions

diff --git a/data/combined/graphs/plots.py b/data/combined/graphs/plots.py
new file mode 100755
index 0000000..4b32f92
--- /dev/null
+++ b/data/combined/graphs/plots.py
@@ -0,0 +1,60 @@
+#! /usr/bin/python
+
+import numpy as np
+import matplotlib.pyplot as plt
+
+l = ["3","5","10","all"]
+
+#10-fold, naive
+plt.cla()
+for i in l:
+    x,y = np.loadtxt(i+"_nb_off.mat",unpack=True)
+    plt.plot(100*x,100*y,label="$n=$ "+i,linewidth=0.8)
+    plt.xlabel("Recall [%]")
+    plt.ylabel("Precision [%]")
+    plt.legend(loc="best")
+    plt.savefig("10fold-naive.pdf")
+
+#online,SHT
+plt.cla()
+for i in l:
+    x,y = np.loadtxt(i+"_sht_on.mat",unpack=True)
+    plt.plot(100*x,100*y,label="$n=$ "+i,linewidth=0.8,markersize=4)
+    plt.xlabel("Recall [%]")
+    plt.ylabel("Precision [%]")
+    plt.legend(loc="best")
+    plt.savefig("online-sht.pdf")
+
+
+#face
+plt.cla()
+x,y = np.loadtxt("all_nb_off.mat",unpack=True)
+a,b = np.loadtxt("face.csv",delimiter=",", unpack=True)
+plt.plot(100*x,100*y,linewidth=0.8,label="Skeleton")
+plt.plot(100*a,100*b,linewidth=0.8,label="Face")
+plt.xlabel("Recall [%]")
+plt.ylabel("Precision [%]")
+plt.legend(loc="best")
+plt.savefig("face.pdf")
+
+#back
+plt.cla()
+x,y = np.loadtxt("back_all_sht_on.mat",unpack=True)
+a,b = np.loadtxt("all_sht_on.mat",unpack=True)
+plt.plot(100*x,100*y,linewidth=0.8,label="Away")
+plt.plot(100*a,100*b,linewidth=0.8,label="Toward")
+plt.xlabel("Recall [%]")
+plt.ylabel("Precision [%]")
+plt.legend(loc="best")
+plt.savefig("back.pdf")
+
+#variance-reduction
+plt.cla()
+x,y = np.loadtxt("half-var-all_sht_on.mat",unpack=True)
+a,b = np.loadtxt("all_sht_on.mat",unpack=True)
+plt.plot(100*x,100*y,linewidth=0.8,label="Reduced noise")
+plt.plot(100*a,100*b,linewidth=0.8,label="Original noise")
+plt.xlabel("Recall [%]")
+plt.ylabel("Precision [%]")
+plt.legend(loc="best")
+plt.savefig("var.pdf")
diff --git a/experimental.tex b/experimental.tex
index be1fc16..b70e886 100644
--- a/experimental.tex
+++ b/experimental.tex
@@ -179,7 +179,13 @@ sequence of frames as belonging to the same run. This additional
 information would be used by the SHT algorithm and would thus bias the
 results in favor of skeleton recognition.
 
-\todo{PLOT MISSING}
+\begin{figure}[t]
+  \begin{center}
+    \includegraphics[width=0.80\textwidth]{graphics/face.pdf}
+  \end{center}
+  \caption{Precision-Recall curve for face recognition and skeleton recognition}
+  \label{fig:face}
+\end{figure}
 
 \paragraph{People walking away from the camera.}
 
diff --git a/graphics/10fold-naive.pdf b/graphics/10fold-naive.pdf
index 8f0fd7a..70b0e6c 100644
--- a/graphics/10fold-naive.pdf
+++ b/graphics/10fold-naive.pdf
diff --git a/graphics/back.pdf b/graphics/back.pdf
index a803a78..66e0463 100644
--- a/graphics/back.pdf
+++ b/graphics/back.pdf
diff --git a/graphics/face.pdf b/graphics/face.pdf
new file mode 100644
index 0000000..88db55e
--- /dev/null
+++ b/graphics/face.pdf
diff --git a/graphics/online-sht.pdf b/graphics/online-sht.pdf
index 834f52c..9511855 100644
--- a/graphics/online-sht.pdf
+++ b/graphics/online-sht.pdf
diff --git a/graphics/var.pdf b/graphics/var.pdf
index 7c4bd3f..e787166 100644
--- a/graphics/var.pdf
+++ b/graphics/var.pdf