diff options
| author | Jon Whiteaker <jbw@berkeley.edu> | 2012-03-04 23:28:43 -0800 |
|---|---|---|
| committer | Jon Whiteaker <jbw@berkeley.edu> | 2012-03-04 23:28:43 -0800 |
| commit | c7b48885def36f3965be91c76ec1f54a5d9bf27a (patch) | |
| tree | 27b381eac763183a1dcb56be744262efb05c4d52 | |
| parent | ce1e137062f54ebdef0830551be0116ba2e13491 (diff) | |
| download | kinect-c7b48885def36f3965be91c76ec1f54a5d9bf27a.tar.gz | |
updated back graph
| -rw-r--r-- | abstract.tex | 2 | ||||
| -rw-r--r-- | data/combined/graphs/back_all_sht_on.mat | 854 | ||||
| -rw-r--r-- | data/combined/graphs/front_back_all_sht.mat | 2188 | ||||
| -rwxr-xr-x | data/combined/graphs/plots.py | 8 | ||||
| -rw-r--r-- | data/combined/scriptSkeleton.m | 6 | ||||
| -rw-r--r-- | graphics/back.pdf | bin | 16183 -> 16456 bytes | |||
| -rw-r--r-- | graphics/face.pdf | bin | 13851 -> 15009 bytes | |||
| -rw-r--r-- | graphics/frames.pdf | bin | 10913 -> 10989 bytes | |||
| -rw-r--r-- | graphics/limbs.pdf | bin | 50499 -> 48019 bytes | |||
| -rw-r--r-- | graphics/offline-nb.pdf | bin | 17044 -> 17230 bytes | |||
| -rw-r--r-- | graphics/offline-sht.pdf | bin | 18712 -> 20555 bytes | |||
| -rw-r--r-- | graphics/online-nb.pdf | bin | 17633 -> 18002 bytes | |||
| -rw-r--r-- | graphics/online-sht.pdf | bin | 20829 -> 24737 bytes | |||
| -rw-r--r-- | graphics/var.pdf | bin | 14691 -> 16137 bytes |
14 files changed, 1429 insertions, 1629 deletions
diff --git a/abstract.tex b/abstract.tex index 0c3d9f1..7aadce0 100644 --- a/abstract.tex +++ b/abstract.tex @@ -6,6 +6,6 @@ experiment with 25 people and measurements obtained from the Kinect range camera gives us promising results and comparison with state of the art facial recognition and validates the viability of - skeleton-base identification, + skeleton-base identification. \end{abstract} diff --git a/data/combined/graphs/back_all_sht_on.mat b/data/combined/graphs/back_all_sht_on.mat index dcf2b7e..e582cdb 100644 --- a/data/combined/graphs/back_all_sht_on.mat +++ b/data/combined/graphs/back_all_sht_on.mat @@ -1,434 +1,434 @@ -# Created by Octave 3.2.4, Fri Mar 02 00:06:38 2012 PST <jbw@Jons-MacBook-Pro.local> +# Created by Octave 3.2.4, Sun Mar 04 23:04:38 2012 PST <jbw@Jons-MacBook-Pro.local> # name: pr # type: matrix # rows: 1000 # columns: 2 - 1 0.4704088266088219 - 1 0.4704088266088219 - 1 0.4704088266088219 - 1 0.4704088266088219 - 0.9961188276222839 0.4721076240738609 - 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1 0 1 diff --git a/data/combined/graphs/plots.py b/data/combined/graphs/plots.py index a4b01f3..31e9638 100755 --- a/data/combined/graphs/plots.py +++ b/data/combined/graphs/plots.py @@ -118,11 +118,11 @@ plt.savefig(os.path.join(out_dir,"face.pdf"),bbox_inches="tight",pad_inches=0.05 #back plt.figure() x,y = np.loadtxt("back_all_sht_on.mat",unpack=True) -a,b = np.loadtxt("all_sht_on.mat",unpack=True) +a,b = np.loadtxt("all_sht_off.mat",unpack=True) c,d = np.loadtxt("front_back_all_sht.mat",unpack=True) -plt.plot(100*a,100*b,label="Train/test toward") -plt.plot(100*x,100*y,label="Train/test away") -plt.plot(100*c,100*d,label="Train toward test away") +plt.plot(100*a,100*b,label="Toward") +plt.plot(100*x,100*y,label="Away") +plt.plot(100*c,100*d,label="Combined") plt.xlabel("Recall [%]") plt.ylabel("Precision [%]") leg = plt.legend(loc="best") diff --git a/data/combined/scriptSkeleton.m b/data/combined/scriptSkeleton.m index ef5b382..301d176 100644 --- a/data/combined/scriptSkeleton.m +++ b/data/combined/scriptSkeleton.m @@ -1,6 +1,6 @@ mostFreqClasses = str2double(argv(){4});
-numEx = 10;
+numEx = 2;
% scenario = 'off';
% solver = 'SHT';
scenario = argv(){3};
@@ -124,10 +124,10 @@ for ex = 1 : numEx % evaluation
for i = 1 : 1000
- th = 5 - i/100;
+ th = 2 - i;
sub = test(norm1(test) < th);
%th = i/1000
- sub = test(exp(conf(test)) > th);
+ %sub = test(exp(conf(test)) > th);
prec(ex, i) = mean(y(sub) == yp(sub));
recall(ex, i) = length(sub) / length(test);
end
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