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| author | Jon Whiteaker <jbw@berkeley.edu> | 2012-03-05 14:55:01 -0800 |
|---|---|---|
| committer | Jon Whiteaker <jbw@berkeley.edu> | 2012-03-05 14:55:01 -0800 |
| commit | 53ecf94a169cced4c78e70e89894effea3c5c574 (patch) | |
| tree | 75df1f079b1bea1ad7aff562c6156a3d550339b9 /abstract.tex | |
| parent | 898a85e9d27cac39f403a9a499ea49578a856f4f (diff) | |
| download | kinect-f1130facf446108fbc0487b7ee1966074f201c61.tar.gz | |
Final eccv submissionsubmission
Diffstat (limited to 'abstract.tex')
| -rw-r--r-- | abstract.tex | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/abstract.tex b/abstract.tex index 4940b90..d115bf1 100644 --- a/abstract.tex +++ b/abstract.tex @@ -5,7 +5,7 @@ recognition given approximate measurements. We perform a real-world experiment with measurements captured from the Kinect and obtain 95\% accuracy with three people and 85\% accuracy with five people. Our results - and a comparison with state of the art facial recognition validate the + and a comparison with state-of-the-art facial recognition validate the viability of skeleton-based recognition. \end{abstract} |